<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="1.2" xml:lang="en">
    <front>
        <journal-meta>
            <journal-id journal-id-type="pmc">F1000Research</journal-id>
            <journal-title-group>
                <journal-title>F1000Research</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2046-1402</issn>
            <publisher>
                <publisher-name>F1000 Research Limited</publisher-name>
                <publisher-loc>London, UK</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.12688/f1000research.110927.1</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Research Article</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>Plasma glucose, HbA1c, insulin and lipid profile in Sudanese type 2 diabetic patients with cardiovascular disease: a case control study</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: 2 approved with reservations]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Abdallah</surname>
                        <given-names>Salsabbil Idris</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Abubaker</surname>
                        <given-names>Nuha Eljailli</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Software</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-0653-6020</uri>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Ibrahim</surname>
                        <given-names>Mariam Abbas</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-6099-3724</uri>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Abd Alla</surname>
                        <given-names>Ahmed</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-5463-9892</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Humaida</surname>
                        <given-names>Rami Adam</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-2744-4667</uri>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Clinical Chemistry Department, Sudan University of Science and Technology,, Khartoum, Khartoum, 11111, Sudan</aff>
                <aff id="a2">
                    <label>2</label>Department of Parasitology and Medical Entomology, Sudan University of Science and Technology, Khartoum, Khartoum, 11111, Sudan</aff>
                <aff id="a3">
                    <label>3</label>Department of lab, Modern medical center, Khartoum, Khartuom, 11111, Sudan</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:ahmed.hassanab@gmail.com">ahmed.hassanab@gmail.com</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>28</day>
                <month>4</month>
                <year>2022</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2022</year>
            </pub-date>
            <volume>11</volume>
            <elocation-id>472</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>28</day>
                    <month>3</month>
                    <year>2022</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2022 Abdallah SI et al.</copyright-statement>
                <copyright-year>2022</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <self-uri content-type="pdf" xlink:href="https://f1000research.com/articles/11-472/pdf"/>
            <abstract>
                <p>
                    <bold>Background:</bold> Type 2 diabetes mellitus (T2DM) and its consequences are a serious global public health issue. By 2030, the number of people with type 2 diabetes is predicted to reach 439 million. The purpose of this study is to evaluate the plasma levels of glucose, HbA1c, insulin, and lipid profile in Sudanese T2DM patients.</p>
                <p>
                    <bold>Methods:</bold> This case control study included 165 Sudanese patients with diabetic type 2 and a cardiovascular condition as cases and 165 diabetic type 2 volunteers without a cardiovascular disorder as controls. The concentrations of plasma glucose, HbA1c, and lipid profile were assessed using a Mindray BS-480 auto-chemistry analyzer, and insulin was analyzed using a Cobase 411 auto analyzer. The collected data were analyzed using statistical tools for social science computer programs (SPSS version 21).</p>
                <p>
                    <bold>Results:</bold> According to the findings, (59.4%) of patients between the ages of (50-69). Females made up 50.9%. (38.2%) of patients had an illness duration of between (8-15 years). (41.8%) of individuals did not have hypertension. There was a substantial rise in BMI, FBG, HbA1c, HDL-C, and insulin among diabetics with cardiovascular disease compared to diabetics without cardiovascular disease (p-value = 0.001, 0.000, 0.018, and 0.000). Females had significantly higher blood TC, LDL-C, HDL-C, and BMI than males (p-values = 0.000, 0,001, and 0.000, respectively). There were significant positive correlation between FBS, HBA1c, insulin and duration of disease (r=0.155, p, value=0.005) (r=0.160, p, value=0.004)(r=0.103, p. value=0.061)respectively, while there were significant negative correlation between TC, TG,LDL-C, HDL-C and duration of disease (r=-0.152, p, value= 0.006)(r=-0.023, p, value=0.678)(r=-0.113, p, value= 0.040)(r=-0.145, p, value=0.008)respectively.</p>
                <p>
                    <bold>Conclusion:</bold> When comparing diabetics with cardiovascular disease to diabetics without cardiovascular disease, there was a substantial rise in BMI, FBG, HbA1c, HDL-C, and insulin. FBS, HBA1c, insulin, and illness duration all had a strong positive connection.</p>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>FBS</kwd>
                <kwd>HBA1c</kwd>
                <kwd>T2DM</kwd>
                <kwd>HDL-C</kwd>
                <kwd>and HDL-C</kwd>
            </kwd-group>
            <funding-group>
                <award-group id="fund-1">
                    <funding-source>No funding body</funding-source>
                </award-group>
                <funding-statement>The author(s) declared that no grants were involved in supporting this work.</funding-statement>
            </funding-group>
        </article-meta>
    </front>
    <body>
        <sec id="sec1" sec-type="intro">
            <title>Introduction</title>
            <p>T2DM has no established cause, however it is known to be caused by physiological, genetic, and environmental variables such as obesity, family history, and pollution (
                <xref ref-type="bibr" rid="ref21">Yang 
                    <italic toggle="yes">et al.</italic>, 2018</xref>). T2DM and its consequences are a major global public health issue, and cardiovascular disease (CVD) represents a significant health burden in Sub-Saharan Africa, including Sudan (
                <xref ref-type="bibr" rid="ref3">Almobarak 
                    <italic toggle="yes">et al.</italic>, 2018</xref>).</p>
            <p>In fact, T2DM and CVD share several risk factors, such as obesity, hypertension, hyperglycemia, insulin resistance, serum lipid and lipoprotein abnormalities, which are defined mostly by high serum triglycerides and low levels of high-density lipoprotein (HDL) cholesterol (
                <xref ref-type="bibr" rid="ref13">Rosa 
                    <italic toggle="yes">et al.</italic>, 2018</xref>; 
                <xref ref-type="bibr" rid="ref18">Veps&#x00e4;l&#x00e4;inen, 2013</xref>) Hypertension in people with diabetes increases the risk of peripheral arterial disease, as well as dyslipidaemia, which is a significant risk factor for developing macrovascular complications in diabetic patients and contributes to an increased risk of coronary heart disease (
                <xref ref-type="bibr" rid="ref19">World Health Organization, 2006</xref>; 
                <xref ref-type="bibr" rid="ref8">Chokshi 
                    <italic toggle="yes">et al.</italic>, 2013</xref>). Diabetes, hypertension, and obesity or being overweight all raise the risk of cardiovascular problems and other morbidities (
                <xref ref-type="bibr" rid="ref23">Brown 
                    <italic toggle="yes">et al.</italic>, 2000</xref>). Insulin resistance, on the other hand, has been linked to a two to five-fold increase in CVD mortality and is a mixture of multiple cardiometabolic risk factors such as obesity, poor glucose metabolism, hypertension, and dyslipidemia. It is also a risk factor for type 2 diabetes (
                <xref ref-type="bibr" rid="ref18">Veps&#x00e4;l&#x00e4;inen, 2013</xref>). A recent study in Sudan found that low HDL is a common trait in two-thirds of diabetics, whereas high cholesterol and triglycerides were found in more than a quarter (
                <xref ref-type="bibr" rid="ref4">Awadalla 
                    <italic toggle="yes">et al.</italic>, 2018</xref>).</p>
            <p>The evaluation of these lipid pathways and insulin resistance in Sudanese diabetes, in addition to the recurrent lipid profile study, may be an important cooperative step in the prediction of CVD since these atherogenic impacts may be mitigated by lifestyle changes. As a result, the purpose of this study was to evaluate the plasma levels of glucose, HbA1c, insulin, and lipid profile in Sudanese patients with T2DM.</p>
        </sec>
        <sec id="sec2" sec-type="methods">
            <title>Methods</title>
            <p>This analytical case control study was approved by the Clinical Chemistry Department and the Research Committee of the College of Medical Laboratory Science at Sudan University of Science and Technology, ethical approval No (DSR &#x2013; IEC &#x2013; 02 &#x2013; 1 &#x2013; 2020), a written informed consent was taken from all participants in the study for data collection and publication. Between March 2020 and August 2021, the research was conducted in the Zenam Diabetic Center and Sudan Cardic Center at Khartoum Siate. The case group consisted of 165 Sudanese patients with diabetes type 2 and a cardiovascular condition who were diagnosed by physicians, whereas the control group consisted of 165 diabetic type 2 volunteers who did not have a cardiovascular problem (the sample size was calculated by using sample size Formula n = p = the proportion to the target population. q = 1-p z = the standard normal deviation, usually set at 1.96, which correspond to the level 95% confidence level, d = degree of accuracy desired, set at 0.05). Patients with renal, liver, or thyroid disease, as well as those who smoked, drank, or had hepatitis A, B, or C, were excluded from the study as all that conditions may affect the levels of tested parameters. The case and control groups were age matched, ranging from 30 to 100 years old. The demographic data was acquired via a questionnaire after all participants gave their informed permission. The heights and weights of all the participants were measured. The BMI was computed by dividing the weight (kg) by the square of the height (m
                <sup>2</sup>) as proposed by 
                <xref ref-type="bibr" rid="ref24">Romero 
                    <italic toggle="yes">et al.</italic> (2012</xref>). Only one sample was obtained from each participant by using conventional vein puncture procedure, accordingly; 3 ml of blood was collected into a heparin container, spun at 3000 rpm for 3 minutes, and plasma was recovered and kept at -20&#x00b0;C until evaluated.</p>
            <p>The concentrations of plasma glucose, HbA1c, and lipid profiles were determined using a Mindray BS-480 auto-chemistry analyzer, whereas insulin levels were determined using a Cobase 411 auto analyzer as proposed by 
                <xref ref-type="bibr" rid="ref25">Annani-Akollor 
                    <italic toggle="yes">et al.</italic> (2019)</xref>. To ensure the accuracy and precision of the results, a level of control and calibrator given by the manufacturer in the reagent kit was evaluated using a sample run on a Mindary BS 480 auto analyzer.</p>
            <sec id="sec3">
                <title>Statistical analysis</title>
                <p>The information gathered was analyzed with the use of a computer application called statistical packages for social science (SPSS version 21). The results were reported as percentages with a mean and standard deviation; No data were missed. To compare means in groups and subgroups; the ANOVA test was employed, and Pearson's correlation test was utilized to establish the relationship between study variables. Statistical significance was defined as a p-value of less than 0.05.</p>
            </sec>
        </sec>
        <sec id="sec4" sec-type="results">
            <title>Results</title>
            <p>In this study, 330 people were included, with 165 diabetes type 2 patients with cardiovascular disease as the case group and 165 diabetic type 2 patients without cardiovascular disease as the control group. The findings revealed that 11.5% aged 30 to 49 years, 59.4% of patients aged 50 to 69 years, and 29.1% of patients aged 70 to 100 years were in the 30 to 49 age group, 59.4% of patients aged 50 to 69 years, and 29.1% of patients aged 70 to 100 years. Females accounted for 50.9% of the total, while men accounted for 49.1%. Duration of DM (33.3%) ranges from one month to seven years, (38.2%) from eight to fifteen years, and (28.5%) from sixteen to twenty-five years (More than 15 years). HTN lasted 24.2% (from 1 month to 7 years), 17.6% of the time (8-15 years), 16.4% of the time (more than 15 years), and 41.8% of the time there was no HTN. When comparing diabetics with cardiovascular disease to diabetics without cardiovascular disease, there was a substantial rise in BMI (29.4 5.3 kg/m
                <sup>2</sup>, p value = 0.001) as in 
                <xref ref-type="table" rid="T1">Table 1</xref>.</p>
            <table-wrap id="T1" orientation="portrait" position="float">
                <label>Table 1. </label>
                <caption>
                    <title>Demographic characteristic of individuals.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="bottom">Variable</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Diabetic with cardiovascular diseases</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Diabetic without cardiovascular diseases</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Age groups</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">(30-49)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">19 (11.5%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">60 (36.4%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">(50-69)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">98 (59.4%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">82 (49.7%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">(70-100)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">48 (29.1%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">23 (13.9%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Gender</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Male</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">81 (49.1%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">71 (43.0%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Female</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">84 (50.9%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">94 (57.0%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Duration of DM (years)</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">1 month &#x2013; 7 years</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">55 (33.3%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">79 (47.9%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">8-15 years</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">63(38.2%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">50 (30.3%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">More than 15 years</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">47 (28.5%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">36 (21.8%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Duration of HTN (years)</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">1 month &#x2013; 7 years</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">40 (24.2%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">25 (15.2%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">8-15 years</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">29 (17.6%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">12 (7.3%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">More than 15 years</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">27 (16.4%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">11 (6.7%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">No HTN</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">69 (41.8%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">117 (70.9%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">BMI</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">29.0 &#x00b1; 3.4</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">27.4 &#x00b1; 5.3</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Mean &#x00b1; SD</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">(p = 0.001)</td>
                        </tr>
                    </tbody>
                </table>
            </table-wrap>
            <sec id="sec5">
                <title>Biochemical profile of individuals</title>
                <p>The biochemical differences between people with and without cardiovascular disease shown in 
                    <xref ref-type="table" rid="T2">Table 2</xref>, there were significant increases in FBG, HBA1c, TG, HDL-c, and insulin between the two groups with p values 0.05, but no significant statistical difference in TC and LDL-c with p values &gt; 0.05. (2).</p>
                <table-wrap id="T2" orientation="portrait" position="float">
                    <label>Table 2. </label>
                    <caption>
                        <title>Mean concentrations of FBS, HBA1c TC, TG,HDL-C,LDL-C and insulin in case and control group.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Variable</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Diabetics with cardiovascular diseases Mean &#x00b1; SD</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Diabetic without cardiovascular diseases Mean &#x00b1; SD</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">p-value</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">FBS mg/dl</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">205 &#x00b1; 73</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">178 &#x00b1; 73</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.001</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">HB A1c</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">8.6 &#x00b1; 2.4</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">7.5 &#x00b1; 1.9</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.000</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">TC (mg/dl)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">166 &#x00b1; 52</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">173 &#x00b1; 45</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.244</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">TG (mg/dl)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">130 &#x00b1; 77</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">112 &#x00b1; 56</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.015</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">HDL-C (mg/dl)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">41 &#x00b1; 13</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">45 &#x00b1; 11</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.018</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">LDL-C (mg/dl)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">94 &#x00b1; 37</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">101 &#x00b1; 29</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.091</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Insulin (mU/L)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">22.9 &#x00b1; 17.3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">14.9 &#x00b1; 14.0</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.000</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
                <p>As shown in 
                    <xref ref-type="table" rid="T3">Table 3</xref>, females had a significantly higher BMI, TC, LDL-C, and HDL-C than males, but FBG, HBA1c, TG, and insulin levels were not significantly different.</p>
                <table-wrap id="T3" orientation="portrait" position="float">
                    <label>Table 3. </label>
                    <caption>
                        <title>Comparison of means of FBS, HBA1c TC, TG, HDL-C, LDL-C and insulin according to gender.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Variable</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Male Mean &#x00b1; SD</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Female Mean &#x00b1; SD</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">p-value</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">FBS (mg/dl)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">196 &#x00b1; 75</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">188 &#x00b1; 73</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.321</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">HB A1c %</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">8.2 &#x00b1; 2.1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">7.9 &#x00b1; 2.2</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.185</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">TC (mg/dl)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">157 &#x00b1; 40</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">181 &#x00b1; 52</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.000</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">TG (mg/dl)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">115 &#x00b1; 59</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">126 &#x00b1; 74</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.126</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">HDL-C (mg/dl)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">40 &#x00b1; 11</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">45 &#x00b1; 13</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.000</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">LDL-C (mg/dl)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">90 &#x00b1; 30</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">103 &#x00b1; 35</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.001</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Insulin (mU/L)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">19.3 &#x00b1; 16.6</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">18.6 &#x00b1; 15.8</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.704</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">BMI</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">26.9 &#x00b1; 4.3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">29.3 &#x00b1; 4.4</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.000</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
            </sec>
            <sec id="sec6">
                <title>Correlation between biochemical profile and demographic features</title>
                <p>The results indicated that HBA1candinsulin had a significant positive association with age, whereas LDL-c had a significant negative correlation with age. FBS, TC, TG, and HDL-c had no correlation with age. FBS, HBA1c, TC, TG, HDL-c, LDL-c, insulin, and BMI had no link, but there was a substantial positive correlation between FBS, HBA1c, and insulin and diabetes duration. As shown in 
                    <xref ref-type="table" rid="T4">Table 4</xref>, there was a strong negative association between TC, HDL-c, and LDL-c and diabetes duration, but no link between TG, insulin, and diabetes length.</p>
                <table-wrap id="T4" orientation="portrait" position="float">
                    <label>Table 4. </label>
                    <caption>
                        <title>Correlations between Age, FBS, HBA1c TC, TG, HDL-C, LDL-C and insulin and study variables (Age, BMI, and duration of diabetes).</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Correlation variables</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">r-value</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">p-value</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Age and FBs</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.001</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.982</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Age and HBA1c</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.115</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.037</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Age and TC</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">- 0.068</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.220</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Age and TG</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.044</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.427</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Age and LDL-C</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">- 0.123</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.026</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Age and HDL-C</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">-0.060</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.274</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Age and insulin</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.122</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.027</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">BMI and FBs</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.005</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.931</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">BMI and HBA1c</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.022</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.696</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">BMI and TC</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.057</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.298</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">BMI and TG</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.019</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.735</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">BMI and LDL-C</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.052</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.348</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">BMI and HDL-C</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.060</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.278</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">BMI and insulin</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.021</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.699</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Duration of DM and FBs</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.155</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.005</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Duration of DM and HBA1c</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.160</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.004</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Duration of DM and TC</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">-0.152</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.006</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">B Duration of DM and TG</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">-0.023</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.678</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Duration of DM and LDL-C</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">-0.113</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.040</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Duration of DM and HDL-C</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">-0.145</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.008</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Duration of DM and insulin</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.103</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.061</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
            </sec>
        </sec>
        <sec id="sec7" sec-type="discussion">
            <title>Discussion</title>
            <p>The overall features of research participants revealed that patients aged 50-69 years old had the largest proportion of diabetics with cardiovascular disease. This finding was also obtained by 
                <xref ref-type="bibr" rid="ref20">Wu 
                    <italic toggle="yes">et al.</italic> (2015)</xref> who stated that the prevalence was greater among people aged 50 and older, as well as 
                <xref ref-type="bibr" rid="ref16">Teo and Dokainish (2017)</xref> reported that, the prevalence of CVD increased with age. Females had a larger prevalence of diabetic patients with cardiovascular complications (50.9%) than men (49.1 percent), this conclusion is similar to that of 
                <xref ref-type="bibr" rid="ref16">Teo and Dokainish (2017)</xref>, which revealed a greater frequency of CVD in females.</p>
            <p>The frequency of diabetic complications was much greater in individuals who had diabetes for a longer period of time. These findings are consistent with the findings of the 
                <xref ref-type="bibr" rid="ref2">Alam 
                    <italic toggle="yes">et al.</italic> (2021)</xref>, which stated that long-term exposure to diabetes causes several diabetic problems. Furthermore, 
                <xref ref-type="bibr" rid="ref12">Rana 
                    <italic toggle="yes">et al.</italic> (2016)</xref> stated that patients with diabetes for more than ten years should be regarded to have a higher risk of cardiovascular disease.</p>
            <p>This study found a significant difference in mean BMI, FBG, HBA1c, triglycerides, and insulin hormones between the two groups (P values 0.000, 0.001, 0.000, 0.015, and 0.000, respectively), as well as a significant decrease in mean HDL-C (P value 0.018), while there was no significant statistical difference in total cholesterol and LDL-C (P value &gt; 0.05). Patients with T2DM at the LDL-C goal are nevertheless at a considerable risk of CVD events, according to a research by 
                <xref ref-type="bibr" rid="ref17">Tim&#x00f3;n 
                    <italic toggle="yes">et al.</italic> (2014)</xref> reported that, this residual risk is linked to a number of variables, including an increase in TG-rich proteins, a drop in HDL-C, and generalized obesity as measured by the body mass index (BMI), which is linked to a number of CVD risk factors and cardiovascular risk in T2DM patients.</p>
            <p>This study found a significant increase in mean BMI, total cholesterol, HDL-C, and LDL-C in diabetic females when compared to diabetic males with a p value of 0.000. This finding is in line with another study that found: The prevalence of overweight in men and women varies depending on the country's level of development; higher BMI is more prevalent in men than women in high-income countries, whereas in low and middle-income countries, particularly in Arab countries, found a significant increase in mean BMI, total cholesterol, HDL-C, and LDL-C in women than men (
                <xref ref-type="bibr" rid="ref1">Aderibigbe 
                    <italic toggle="yes">et al.</italic>, 2018</xref>).</p>
            <p>With a p value of &gt; 0.05, there is no statistically significant difference in FBG, HBA1c, triglycerides, or insulin hormones. This finding is comparable to that of 
                <xref ref-type="bibr" rid="ref10">Moor 
                    <italic toggle="yes">et al.</italic> (2017)</xref> who found that mean total cholesterol and LDL-C levels were greater in women than in men, with a statistically significant difference, whereas HDL-C and triglycerides were not. This finding is also in line with that of 
                <xref ref-type="bibr" rid="ref6">Bertoluci and Rocha (2017)</xref> who found that women with diabetes had a greater chance of dying from cardiovascular causes than men.</p>
            <p>Our research found a substantial positive link between HBA1c, insulin hormone levels, and diabetes patients' age (r = 0.115, p-value = 0.037, r = 0.122, p-value = 0.027). This result was verified by 
                <xref ref-type="bibr" rid="ref9">Huang 
                    <italic toggle="yes">et al.</italic> (2021)</xref> who found that there was a positive association between HBA1c level and age (
                <xref ref-type="bibr" rid="ref9">Huang 
                    <italic toggle="yes">et al.</italic>, 2021</xref>).</p>
            <p>Although there was a significant negative association between LDL-C and age (r = -0.123, p = 0.026), there was no correlation between study parameters and BMI in this research. A significant positive correlation was also found between FBs, HBA1c level, and Duration of DM (r = 0.155, p-value = 0.005, r = 0.160, p-value = 0.004), as well as a significant negative correlation between total cholesterol, HDL-C, LDL-C, and Duration of DM (r = -0.152, p-value = 0.006, r = - 0.145, p-value = 0.040, r = -0.113, p = 0.040. This result is similar to another result from a study carried out by 
                <xref ref-type="bibr" rid="ref11">Priya and Begum (2020)</xref>, which found a substantial positive link between HBA1c, total cholesterol, LDL-C, and duration of diabetes, but a significant negative correlation between HDL-C and duration of diabetes (
                <xref ref-type="bibr" rid="ref11">Priya and Begum, 2020</xref>).</p>
            <sec id="sec8">
                <title>Study limitation</title>
                <p>The samples were collected from two centers in Khartoum state.</p>
            </sec>
        </sec>
        <sec id="sec9">
            <title>Data availability</title>
            <p>Figshare. Salsabil. DOI: 
                <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.6084/m9.figshare.19375664.v2">https://doi.org/10.6084/m9.figshare.19375664.v2</ext-link> (
                <xref ref-type="bibr" rid="ref22">AbdAlla 
                    <italic toggle="yes">et al.</italic>, 2022</xref>)</p>
            <p>Data are available under the terms of the 
                <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/publicdomain/zero/1.0/">Creative Commons Zero &#x201c;No rights reserved&#x201d; data waiver</ext-link> (CC BY 4.0 Public domain dedication).</p>
        </sec>
    </body>
    <back>
        <ref-list>
            <title>References</title>
            <ref id="ref22">
                <mixed-citation publication-type="other">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>AbdAlla</surname>
                            <given-names>A</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Abdallah</surname>
                            <given-names>SI</given-names>
                        </name>
</person-group>:
                    <article-title>Salsabil data. figshare.</article-title>
                    <source>

                        <italic toggle="yes">Dataset.</italic>
</source>
                    <year>2022</year>.
                    <pub-id pub-id-type="doi">10.6084/m9.figshare.19375664.v1</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref1">
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Aderibigbe</surname>
                            <given-names>MA</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Obafemi</surname>
                            <given-names>TO</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Olaleye</surname>
                            <given-names>MT</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Affects of Genser, Age and Treatment Duration on Lipid Profile and Renal Function Indices in Diabetic Pateins Attending a Teaching Hospital in South Westren Nigeria.</article-title>
                    <source>

                        <italic toggle="yes">Afri. Health Sci.</italic>
</source>
                    <year>2018</year>;<volume>18</volume>(<issue>4</issue>):<fpage>900</fpage>&#x2013;<lpage>908</lpage>.
                    <pub-id pub-id-type="pmid">30766553</pub-id>
                    <pub-id pub-id-type="doi">10.4314/abs.v18i4.8</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref2">
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Alam</surname>
                            <given-names>S</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Hasan</surname>
                            <given-names>MK</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Neaz</surname>
                            <given-names>S</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Diabetes Mellitus: Insights from Epidemiology, Biochemistry, Rish Factors, Diagnosis, Complications and Comprehensive Management.</article-title>
                    <source>

                        <italic toggle="yes">Diabetology.</italic>
</source>
                    <year>2021</year>;<volume>2</volume>:<fpage>36</fpage>&#x2013;<lpage>50</lpage>.
                    <pub-id pub-id-type="doi">10.3390/diabetology2020004</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref3">
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Almobarak</surname>
                            <given-names>A</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Awadalla</surname>
                            <given-names>H</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Osman</surname>
                            <given-names>M</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Prevelance and Predictive Factors for Heart Failure among Sudanese Individuals with Diabetes: Population Based Survey.</article-title>
                    <source>

                        <italic toggle="yes">J. Public. Health Emerg.</italic>
</source>
                    <year>2018</year>;<volume>2</volume>(<issue>5</issue>).
                    <pub-id pub-id-type="doi">10.21037/jphe.2018.04.03</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref25">
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Annani-Akollor</surname>
                            <given-names>ME</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Laing</surname>
                            <given-names>EF</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Osei</surname>
                            <given-names>H</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Prevalence of metabolic syndrome and the comparison of fasting plasma glucose and HbA1c as the glycemic criterion for MetS definition in non-diabetic population in Ghana.</article-title>
                    <source>

                        <italic toggle="yes">Diabetol. Metab. Syndr.</italic>
</source>
                    <year>2019</year>;<volume>11</volume>:<fpage>26</fpage>.
                    <pub-id pub-id-type="doi">10.1186/s13098-019-0423-0</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref5">
                <mixed-citation publication-type="other">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Anon</surname>
                        </name>
</person-group>:
                    <article-title>Sex difference in cardiovascular risk factors and disease prevention.</article-title>
                    <year>2015</year>;<volume>241</volume>(<issue>1</issue>):<fpage>211</fpage>&#x2013;<lpage>218</lpage>.
                    <pub-id pub-id-type="doi">10.1016/j.atherosclerosis.2015.01.027</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref4">
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Awadalla</surname>
                            <given-names>H</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Noor</surname>
                            <given-names>SK</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Elmadhoun</surname>
                            <given-names>WM</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Comparison of serum lipid profile in type 2 diabetes with and without adequate diabetes control in Sudanese population in north of Sudan.</article-title>
                    <source>

                        <italic toggle="yes">Diabetes Metab. Syndrome.</italic>
</source>
                    <year>2018</year>;<volume>12</volume>(<issue>6</issue>):<fpage>961</fpage>&#x2013;<lpage>964</lpage>.
                    <pub-id pub-id-type="pmid">29954711</pub-id>
                    <pub-id pub-id-type="doi">10.1016/j.dsx.2018.06.004</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref6">
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Bertoluci</surname>
                            <given-names>M</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Rocha</surname>
                            <given-names>V</given-names>
                        </name>
</person-group>:
                    <article-title>Cardiovascular risk assessment in patients with diabetes.</article-title>
                    <source>

                        <italic toggle="yes">Diabetol. Metab. Syndr</italic>
</source>
                    <year>2017</year>;<volume>9</volume>(<issue>25</issue>):<fpage>25</fpage>.
                    <pub-id pub-id-type="pmid">28435446</pub-id>
                    <pub-id pub-id-type="doi">10.1186/s13098-017-0225-1</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref23">
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Brown</surname>
                            <given-names>CD</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Higgins</surname>
                            <given-names>D</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Donato</surname>
                            <given-names>KA</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Body mass index and the prevakence of hypertension and dyslipidemia.</article-title>
                    <source>

                        <italic toggle="yes">Obes. Res.</italic>
</source>
                    <year>2000</year>;<volume>8</volume>(<issue>9</issue>):<fpage>605</fpage>&#x2013;<lpage>619</lpage>.</mixed-citation>
            </ref>
            <ref id="ref7">
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Chen</surname>
                            <given-names>Y</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Zhao</surname>
                            <given-names>X</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Wu</surname>
                            <given-names>H</given-names>
                        </name>
</person-group>:
                    <article-title>Metabolic Stress and Cardiovasculer Diease in Diabetes Mellitus; American Heart Associaition.</article-title>
                    <source>

                        <italic toggle="yes">Arterioscler. Thromb. Vasc. Biol.</italic>
</source>
                    <year>2019</year>;<volume>39</volume>:<fpage>1911</fpage>&#x2013;<lpage>1924</lpage>.
                    <pub-id pub-id-type="doi">10.1161/ATVBAHA. 119.312192</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref8">
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Chokshi</surname>
                            <given-names>NP</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Grossman</surname>
                            <given-names>E</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Messerli</surname>
                            <given-names>FH</given-names>
                        </name>
</person-group>:
                    <article-title>Blood pressure and diabetes: vicious twins.</article-title>
                    <source>

                        <italic toggle="yes">Heart.</italic>
</source>
                    <year>2013 Apr</year>;<volume>99</volume>(<issue>8</issue>):<fpage>577</fpage>&#x2013;<lpage>585</lpage>.</mixed-citation>
            </ref>
            <ref id="ref9">
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Huang</surname>
                            <given-names>S</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Huang</surname>
                            <given-names>P</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Li</surname>
                            <given-names>J</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Hemoglobin A1c Levels Associated with Age and Gender in Taiwanese Adults without Prior Diagnosis with Diabetes.</article-title>
                    <source>

                        <italic toggle="yes">Int. J. Environs. Res. Public Health 2021.</italic>
</source>
                    <year>2021</year>;<volume>18</volume>:<fpage>3390</fpage>.
                    <pub-id pub-id-type="pmid">33805890</pub-id>
                    <pub-id pub-id-type="doi">10.3390/ijerph18073390</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref10">
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Moor</surname>
                            <given-names>V</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Amougou</surname>
                            <given-names>S</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Ombotto</surname>
                            <given-names>S</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Dyslipidemia in Patients with a Cardiovascular Risk and Disease at the University Teaching Hospital of Yaound&#x00e9;, Cameroon.</article-title>
                    <source>

                        <italic toggle="yes">J. Vasc. Med.</italic>
</source>
                    <year>2017</year>;<volume>2017</volume>:<fpage>1</fpage>&#x2013;<lpage>5</lpage>.
                    <pub-id pub-id-type="pmid">28163932</pub-id>
                    <pub-id pub-id-type="doi">10.1155/2017/6061306</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref11">
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Priya</surname>
                            <given-names>S</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Begum</surname>
                            <given-names>N</given-names>
                        </name>
</person-group>:
                    <article-title>Correlation of Lipid Profile with Duration of Diabetes and HBA1c Levels in Type 2 Diabetes Mellitus Patients: A Descriptive Cross-sectional Study.</article-title>
                    <source>

                        <italic toggle="yes">SBVJ journal of Basic, Clinical and Applied Health Science.</italic>
</source>
                    <year>2020</year>;<volume>3</volume>:<fpage>19</fpage>&#x2013;<lpage>22</lpage>.
                    <pub-id pub-id-type="doi">10.5005/jp-journals-10082-02234</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref12">
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Rana</surname>
                            <given-names>JS</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Liu</surname>
                            <given-names>JY</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Moffet</surname>
                            <given-names>HH</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Diabetes and prior coronary heart disease are not necessarily risk equivalent for future coronary heart disease events.</article-title>
                    <source>

                        <italic toggle="yes">J. Gen. Internal Med.</italic>
</source>
                    <year>2016</year>;<volume>31</volume>(<issue>4</issue>):<fpage>387</fpage>&#x2013;<lpage>393</lpage>.
                    <pub-id pub-id-type="pmid">26666660</pub-id>
                    <pub-id pub-id-type="doi">10.1007/s11606-015-3556-3</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref24">
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Romero</surname>
                            <given-names>M</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Flores</surname>
                            <given-names>R</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Molina</surname>
                            <given-names>R</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>The body mass index (BMI) as a public health tool to predict metabolic syndrome.</article-title>
                    <source>

                        <italic toggle="yes">Open J. Prev. Med.</italic>
</source>
                    <year>2012</year>;<volume>2</volume>(<issue>1</issue>):<fpage>59</fpage>&#x2013;<lpage>66</lpage>.
                    <pub-id pub-id-type="doi">10.4236/ojpm.2012.21009</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref13">
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Rosas</surname>
                            <given-names>S</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Arcidianon</surname>
                            <given-names>B</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Chiefari</surname>
                            <given-names>E</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Type 2 Diabetes Mellitus and Cardiovascular Disease: Genetic and Epigenetic Links.</article-title>
                    <source>

                        <italic toggle="yes">Front. Endocrinol.</italic>
</source>
                    <year>2018</year>;
                    <pub-id pub-id-type="doi">10.3389/fendo.2018.00002</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref14">
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Shi</surname>
                            <given-names>Y</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Hu</surname>
                            <given-names>FB</given-names>
                        </name>
</person-group>:
                    <article-title>The global implications of diabetes and cancer.</article-title>
                    <source>

                        <italic toggle="yes">Lancet.</italic>
</source>
                    <year>2014</year>;<volume>383</volume>:<fpage>1947</fpage>&#x2013;<lpage>1948</lpage>.
                    <pub-id pub-id-type="doi">10.1016/S0140-6736(14)60886-2</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref15">
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Shi</surname>
                            <given-names>Y</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Vanhoutte</surname>
                            <given-names>PM</given-names>
                        </name>
</person-group>:
                    <article-title>Macro- and microvascular endothelial dysfunction in diabetes.</article-title>
                    <source>

                        <italic toggle="yes">J. Diabetes.</italic>
</source>
                    <year>2017</year>;<volume>9</volume>:<fpage>434</fpage>&#x2013;<lpage>449</lpage>.
                    <pub-id pub-id-type="doi">10.1111/1753-0407.12521</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref16">
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Teo</surname>
                            <given-names>K</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Dokainish</surname>
                            <given-names>H</given-names>
                        </name>
</person-group>:
                    <article-title>The Emerging Epidemic of Cardiovasculer Risk Factor and Atherosclerotic Disease in Developing Countries.</article-title>
                    <source>

                        <italic toggle="yes">Can. J. Cardiol.</italic>
</source>
                    <year>2017</year>;<volume>33</volume>:<fpage>358</fpage>&#x2013;<lpage>365</lpage>.
                    <pub-id pub-id-type="pmid">28232018</pub-id>
                    <pub-id pub-id-type="doi">10.1016/j.cjca.2016.12.014</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref17">
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Tim&#x00f3;n</surname>
                            <given-names>I</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Collantes</surname>
                            <given-names>C</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Galindo</surname>
                            <given-names>A</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Type 2 diabetes and cardiovascular disease: Have all risk factors the same strength: World.</article-title>
                    <source>

                        <italic toggle="yes">J. Diabetes.</italic>
</source>
                    <year>2014</year>;<volume>5</volume>(<issue>4</issue>):<fpage>444</fpage>&#x2013;<lpage>470</lpage>.
                    <pub-id pub-id-type="pmid">25126392</pub-id>
                    <pub-id pub-id-type="doi">10.4239/wjd.v5.i4.444</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref18">
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Veps&#x00e4;l&#x00e4;inen</surname>
                            <given-names>T</given-names>
                        </name>
</person-group>:
                    <article-title>Factors Predicting Mortality in Type 2 Diabetes; TurunYliopistonJulkaisujaAnnalesUniversitatisTurkuensisSarjaser.</article-title>
                    <source>

                        <italic toggle="yes">DOSATOM.</italic>
</source>
                    <year>2013</year>;<fpage>1086</fpage>.
MEDICA ODONTOLOGICA.</mixed-citation>
            </ref>
            <ref id="ref19">
                <mixed-citation publication-type="other">
                    <collab>World Health Organisation</collab>:
                    <italic toggle="yes">Preventing chronic diseases, a vital investment. A WHO Global Report.</italic>
                    <publisher-loc>Geneva</publisher-loc>:<year>2006</year>.</mixed-citation>
            </ref>
            <ref id="ref20">
                <mixed-citation publication-type="book">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Wu</surname>
                            <given-names>F</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Guo</surname>
                            <given-names>Y</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Chatterji</surname>
                            <given-names>S</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <source>

                        <italic toggle="yes">Common risk Factor for Chronic non communicable Diseases among Older adult in China, Ghana, Mexico, India, Russia and South Africa.</italic>
</source>
                    <publisher-name>The study on global Ageing and adult health (SAGE) Wave 1BMC public Health</publisher-name>;<year>2015</year>.
                    <pub-id pub-id-type="doi">10.1186/s12889-015-1407-0</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref21">
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Yang</surname>
                            <given-names>C</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Kelaini</surname>
                            <given-names>S</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Caines</surname>
                            <given-names>R</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>RBPs Play Important Roles in Vascular Endothelial Dysfunction Under Diabetic Conditions, article.</article-title>
                    <source>

                        <italic toggle="yes">Front. Physiol.</italic>
</source>
                    <year>2018</year>;<volume>9</volume>: 20 September 2018.
                    <pub-id pub-id-type="pmid">30294283</pub-id>
                    <pub-id pub-id-type="doi">10.3389/fphys.2018.01310</pub-id>
                </mixed-citation>
            </ref>
        </ref-list>
    </back>
    <sub-article article-type="reviewer-report" id="report179450">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.122586.r179450</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Taneera</surname>
                        <given-names>Jalal</given-names>
                    </name>
                    <xref ref-type="aff" rid="r179450a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-3341-1063</uri>
                </contrib>
                <aff id="r179450a1">
                    <label>1</label>University of Sharjah, Sharjah, United Arab Emirates</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>20</day>
                <month>6</month>
                <year>2023</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2023 Taneera J</copyright-statement>
                <copyright-year>2023</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport179450" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.110927.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve-with-reservations</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>In this study, the authors assessed the plasma levels of glucose, HbA1c, insulin, and lipid profile in Sudanese T2DM patients. A case-control design was used, including 165 T2DM patients with cardiovascular conditions as cases and 165 T2DM patients without cardiovascular disorders as controls. Results showed a notable increase in BMI, fasting blood glucose (FBG), HbA1c, HDL cholesterol (HDL-C), and insulin in people with diabetes with cardiovascular disease. Females had higher TC, LDL-C, HDL-C, and BMI levels than males. Positive correlations were observed between FBS, HbA1c, insulin, and illness duration. These findings provide valuable insights into metabolic profiles and cardiovascular implications in Sudanese T2DM patients.</p>
            <p> The study is a straightforward investigation that can be improved by adding extra data (see comments below).</p>
            <p> </p>
            <p> Major Issues:</p>
            <p> </p>
            <p> The study will benefit from some English improvement.</p>
            <p> </p>
            <p> It was unclear in the study what was the criteria for cardiovascular complications .. author is requested to define such important issues.</p>
            <p> </p>
            <p> Family history of cardiovascular complications should be addressed in the T2DM patients with cardiovascular conditions group.</p>
            <p> </p>
            <p> It would be great if the authors showed the types of drugs described for these patients and subsequently dragged some data (if possible) if certain anti-diabetic drugs protect against cardiovascular complications compared to others.</p>
            <p> What are the clinical implications for the data? I failed to see any implications in the discussion.</p>
            <p> </p>
            <p> Please expand more on the study limitations.</p>
            <p> </p>
            <p> Other issues:</p>
            <p> </p>
            <p> HBA1c should be HbA1c.</p>
            <p> </p>
            <p> Define what is HTN.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Yes</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Yes</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Yes</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>Diabetes research</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.</p>
        </body>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report172786">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.122586.r172786</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Smith</surname>
                        <given-names>Diarmuid</given-names>
                    </name>
                    <xref ref-type="aff" rid="r172786a1">1</xref>
                    <role>Referee</role>
                </contrib>
                <aff id="r172786a1">
                    <label>1</label>Beaumont Hospital/RCSI Medical School, Dublin, Ireland</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>23</day>
                <month>5</month>
                <year>2023</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2023 Smith D</copyright-statement>
                <copyright-year>2023</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport172786" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.110927.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve-with-reservations</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>Thank you for asking me to review this article on cardiovascular disease in Sudanese patients with Type 2 diabetes.</p>
            <p> </p>
            <p> The article was interesting and describes CV risk in a Sudanese population with T2DM which I think would be interesting for your readers.</p>
            <p> </p>
            <p> However there are a number of issues with the paper.</p>
            <p> </p>
            <p> Major Issues&#x00a0; 
                <list list-type="order">
                    <list-item>
                        <p>The writing needs to be improved throughout the paper and there were a few paragraphs in which I could not understand what the author was trying to say for example page 3 paragraph 3 needs to be rewritten; page 3 the first paragraph of the results section needs to be rewritten as the results are not clear in this paragraph.</p>
                    </list-item>
                    <list-item>
                        <p>Throughout the manuscript the term diabetic with cardiovascular disease or diabetic needs to be changed to Type 2 diabetes with cardiovascular disease or Type 2 diabetes without cardiovascular disease</p>
                    </list-item>
                    <list-item>
                        <p>The paper would have been strengthened by having a non-diabetic control group with cardiovascular disease to see what the differences were in relation to BMI. lipids etc in those with and without diabetes</p>
                    </list-item>
                    <list-item>
                        <p>The data was collected in 2 centres in Khartoum. Were the lab tests done in the one lab or 2 separate labs and what was CV for the Aic assay and other assays? please comment</p>
                    </list-item>
                    <list-item>
                        <p>The authors ethical approval for the study was not obtained, please explain.</p>
                    </list-item>
                    <list-item>
                        <p>How was cardiovascular disease defined?</p>
                    </list-item>
                    <list-item>
                        <p>Why was smoking excluded?</p>
                    </list-item>
                    <list-item>
                        <p>Was there a difference in medication type between with and without cardiovascular disease particularly in relation to statin therapy and hypoglycaemic agents</p>
                    </list-item>
                    <list-item>
                        <p>Could the authors comment in the discussion section on why they thought the A1c was higher in those with CV disease compared to those without?</p>
                    </list-item>
                    <list-item>
                        <p>The term insulin hormone levels should be replaced with the term serum insulin levels.</p>
                    </list-item>
                </list> I would be grateful if there manuscript could be rewritten to improve the content, understanding, results and discussion section of the paper.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Partly</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Partly</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Partly</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Partly</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Partly</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Partly</p>
            <p>Reviewer Expertise:</p>
            <p>Clinical diabetes care</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.</p>
        </body>
    </sub-article>
</article>
