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Systematic Review
Revised

Digital sensors (non-invasive) for early detection of risk factors for recurrent stroke: A systematic review

[version 2; peer review: 1 approved, 1 approved with reservations, 1 not approved]
Previously titled: Optimizing the use of digital sensors (non-invasive) for early detection of risk factors for recurrent stroke to improve quality of care: A systematic review
PUBLISHED 19 Jul 2024
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This article is included in the Global Public Health gateway.

Abstract

Background

Improving awareness in patients with stroke to detect risk factors of recurrent stroke has recently become a major challenge for all health professionals in preventing recurrence among stroke survivors. Utilization of advanced technology, such as digital sensors, (a non-invasive device) is among the breakthroughs in detecting the risk of disease and promotes more effective prevention and improves quality of care. This study aims to conduct a systematic review on studies addressing early detection of the risk factors of recurrent stroke through the utilization of digital sensors.

Methods

A literature search was carried out on articles published between 2011 - 2018 on EBSCO, Elsevier, Science Direct, ProQuest, Springer link, PubMed, MEDLINE, PLoS, and the Journal of Community Nursing. The search identified quantitative research studies on the utilization of digital sensors in cases of hypertension, diabetes mellitus, hypercholesterolemia, and cardiac disorders that contributed to stroke recurrence. Each study’s bias was assessed using Review Manager 5.

Results

Ten articles were analyzed through data extraction. Robust assessment of independent risk factors which provoke recurrent stroke such as hypertension, diabetes mellitus, hypercholesterolemia, and heart diseases could lead to conservation of health resources. It is very important to monitor these factors. With the development of technology, the potential use of non-invasive monitoring for hypertension, diabetes mellitus, hypercholesterolemia, and heart diseases as risk factors for recurrent stroke events is considered effective because it is easy, simple, low cost, sensitive, and does not cause additional suffering for patients.

Conclusion

A practical and non-invasive method for early detection and monitoring of risk factors may reduce the risk of stroke recurrence among stroke survivors.

Keywords

Digital sensor, quality of care, risk factors, recurrent stroke.

Revised Amendments from Version 1

We made several important changes, including the title, figure 1, methods, and results.
Based on the second reviewer, the title needed a bit of change to avoid ambiguity in the findings.
We made a clear figure with a brief description. A good flow and clear sentences would help the reviewer and reader understand this study.
We added some results according to our findings.

See the authors' detailed response to the review by José Luis Ruiz-Sandoval
See the authors' detailed response to the review by Loo Keat Wei

Introduction

Stroke is defined as an infarction of brain, spinal cord, or retinal cell death attributable to ischemia, based on pathological, imaging, or other objective evidence of cerebral, spinal cord, or retinal focal ischemic injury in a defined vascular distribution; or clinical evidence of cerebral, spinal cord, or retinal focal ischemic injury based on symptoms persisting ≥ 24 hours or until death, and other etiologies are excluded1. In 2013, strokes contributed to 1 out of 20 deaths in the United States. Stroke affects one person in every 40 seconds and it claims one life every 4 minutes2.

There are two types of risk factors for stroke: modifiable and non-modifiable. Non-modifiable risk factors include age, gender, low birth weight, race, and genetic factors. Modifiable risk factors include hypertension, diabetes mellitus, dyslipidemia, atrial fibrillation, and heart disorders3. Patients who have suffered from strokes are at risk of stroke recurrence or relapse with a cumulative risk of 39.2%. Approximately 13% of patients with stroke are affected by recurrent stroke within the first year after the initial event4. A systematic review reported that recurrent stroke was the major reason for hospital re-admission among patients with ischemic stroke within the first 30 days and 1 year following the initial event, (33% and 26.3%, respectively)5. Hospitals are currently challenged to reduce preventable hospital re-admission for cost retrenchment and improvement of service quality. Furthermore, the incidence of recurrent stroke is significantly associated with increased mortality and morbidity because it results in greater neurological deficits than initial stroke, which lead to longer hospital stays and higher cost of care6.

Various prevention and behavior change programs have been implemented. However, these have not significantly reduced the prevalence of recurrent stroke and re-admission rate5. Health professionals are facing a challenge to provide health education to the community and make a breakthrough to improve awareness about stroke or recurrent stroke, especially awareness among those who possess higher risk factors. Utilization of advanced technology, such as digital sensors, (a non-invasive device) is among the breakthroughs in detecting the risk of disease for more effective prevention3. Unlike invasive procedures, sensor technology undoubtedly facilitates health professionals in detecting risk factors of stroke in patients in an easy and pain-free manner1.

To the best of the author’s knowledge, there has not been a study conducted that systematically reviews the literature addressing early detection of risk factors of stroke through the use of digital sensors in order to establish proper practice guidelines in developing non-invasive devices for identifying the risk factors for stroke recurrence.

Methods

Search strategy

The search strategy included the following terms: 'risk factor of stroke', 'post-stroke', 'recurrent stroke', ‘secondary stroke prevention’, 'detection', 'digital sensor', 'non-invasive', and 'nursing'. The chronological search range was between 1 January 2018 and 31 August 2018. Databases used for searching literature included: EBSCO, Elsevier ScienceDirect, ProQuest, Springer link, PubMed, MEDLINE, and PLoS. The search process resulted in 92 articles which matched the keywords. These articles were then filtered according to full text 49 articles. These 49 articles were then reviewed based on titles matching the use of digital sensors (non-invasive) for early detection of risk factors for recurrent stroke and resulted in 16 articles. Finally, these 16 articles were filtered based on inclusion and exclusion criteria, (see below) and resulted in 10 articles. The search process on the databases is shown in Figure 1.

6e12cfff-18ce-48f5-bf1c-c9ef9247686f_figure1.gif

Figure 1. Result of a systematic search in databases related to use of digital sensors (non-invasive) for early detection of risk factors for recurrent stroke.

Critical appraisal was later performed according to the study design of the articles. The Critical Appraisal Skills Program (CSAP) was used for analysis7.

Ten articles were analyzed through data extraction, include eight experimental study, one RCT and cohort. Variables acquired through data extraction were: authors name(s), year of study and publication, intervention method, and study findings. All the items were included in the table of data extraction. We used the Cochrane Collaboration free software called Review Manager (RevMan version 5.3)8 which is useful for analyzing results and generating forest plots and risk-of-bias. The results of bias assesed are shown in Figure 2.

6e12cfff-18ce-48f5-bf1c-c9ef9247686f_figure2.gif

Figure 2. Risk of bias summary: review authors' judgements about each risk of bias item for each included study used RevMan 5.3.

Inclusion criteria

  • 1. at least one blood monitoring of stroke patients, include hypertension, blood glucose, and cholesterol

  • 2. Digital sensors or non-invasive devices.

  • 3. Language and publication date: published in English language between 2011 and 2018.

  • 4. Study design: experimental (randomized controlled trial (RCT) and non-RCT), cohort study, survey and case report.

Exclusion criteria

This study did not address the use of sensory non-invasive devices to detect risk factor of stroke.

Results

The characteristics of the selected studies are outlined in Table 1. The systematic review revealed risk factors of recurrent stroke that included hypertension, diabetes mellitus, dyslipidemia, atrial fibrillation, and heart disorders. Those risk factors were detected by a non-invasive device consisting of various sensors and tools that reduced the patient’s pain during examination. The review also found that the nurse is part of the multidisciplinary team that provides care for patients with stroke. One of nurse’s roles and functions is to promote independence of the patient in performing self-screening, prevention, disease management and rehabilitation. Advancing technology would facilitate a nurse in identifying risk factors of stroke.

Table 1. Description of studies included in the systematic review.

ReferenceStudy designDevice usedResult
9Cohort StudyComputed Tomography Coronary Angiography
(CTCA)
CTCA as a first-line diagnostic modality for diagnosis of suspected angina and magnetic
resonance perfusion provided significant contribution in detection of cardiac lesions.
10ExperimentalBiosensor was fabricated using electrospun
polyaniline nanofiber
Biosensor that implemented nanofibers was claimed to be accurate in identifying blood
cholesterol level in comparison with the results of invasive tests.
11ExperimentalThe Cu-graphene sheets electrodeCu-graphene sheet electrode was able to quickly detect blood glucose level with highest
stability, sensitivity and selectivity.
12ExperimentalFET sensor for cholesterol detectionSensor-based FET was able to detect cholesterol levels easier and more practical.
13RCTNon-invasive cardiac-event by an accredited
cardiac electro cardiology laboratory
Monitoring of cardiac activity for 7 days following acute stroke was effective in detecting
paroxysmal atrial fibrillation and early anticoagulation.
14ExperimentalGlucose Enzyme biosensorsThe glucose enzyme sensor demonstrated sensitivity that has never occurred before in
detecting blood glucose level.
15ExperimentalG/PVP/PANI-modified paper-based biosensorDevelopment of a sensitive, accurate and inexpensive biosensor is critical in the detection
of early stage biomarkers of a disease, including cholesterol.
16Cohort StudyA Non-Invasive Blood Pressure Measurement
using Smart Android
Sensor with C8051F410 mixed-signal 8-bit MCU chip was used for measurement of blood
pressure through the fingertip.
17ExperimentalFluorogenic sensorsFluorogenic sensors capable of detecting Fe2+ spatiotemporally in biological systems to identify symptoms of ischemic stroke.
18ExperimentalModel-View-Controller software architecture
pattern
This biometric device was more efficient in detecting blood pressure and Wi-Fi connectivity
allowed patients to directly monitor it through their smart phone.

Utilization of digital sensors to detect hypertension. Studies have suggested that hypertension is the main risk factor for stroke, though it is also the easiest to modify if the affected person is willing to adopt a healthier lifestyle. The mean blood pressure of the affected person ranges from systolic pressure ≥ 140 mmHg or diastolic pressure ≥ 90 mm Hg. Prevalence of hypertension in patients with ischemic stroke approaches 70%19. Hypertension treatment is described as the most crucial intervention in secondary prevention of ischemic stroke. The risk of ischemic stroke is significantly associated with blood pressure (BP) with systolic blood pressure (SBP) as low as 115 mmHg. It is also directly correlated with recurrent strokes. Therefore, regular monitoring will assist in providing appropriate medication19.

People with hypertension require a blood pressure measurement device to monitor their hypertension status. However, they also need to access a health facility just to measure their blood pressure and the measurement is performed by a trained staff, such as a nurse or other health professional. It is considered a time consuming activity by patients who could otherwise be more productive. Although they may be able to purchase it, the device is mostly magnetically based and applies an indirect method of blood pressure detection using Korotkoff sounds. The method is also difficult to conceptualize and there are certain procedures that require careful attention, including proper cuff positioning which, significantly affects the measured parameter. Furthermore, the device also possesses built-in ambivalence in which the measurement of systolic and diastolic pressure from an empirically measured mean of pressure is also influenced by user’s hearing. Therefore, its use is rather less effective and efficient16. Such deficiencies have led to the development of a blood pressure measurement device that utilizes automatic measurement features. It is easy to use, only requiring a finger tap and the sensor will automatically measure the blood pressure with a sensitivity matching the user’s condition. Measurement of blood pressure through such a digital sensor also offers advantage that it enables the patient to monitor his own blood pressure at any time18.

Utilization of digital sensor to detect blood glucose. Elevation of blood glucose levels over the normal range indicates diabetes mellitus which is an independent risk factor for stroke. Most people with diabetes are also affected by hypertension, hypercholesterolemia and are overweight. These conditions increase the risk for stroke recurrence. Even though diabetes is a treatable disease, uncontrolled diabetes may increase the risk for stroke11.

Control of blood glucose levels heavily depends on blood glucose monitoring. Patients with type 1 or type 2 diabetes are recommended to check his or her blood glucose level up to 4 times a day14. The measurement is generally performed by using a finger-prick glucose meter. The test will reveal the patient’s blood glucose level which is required to calculate the insulin dose every day. The disadvantage of this measurement is that it causes pain when the finger is pricked. In addition to the impracticality of glucose meter device, there is also a risk for infection associated with tissue injury and damage of tissue associated with puncture wounds over a long period. Several factors may cause the patient to neglect blood glucose monitoring11. This reality led to the invention of non-invasive technologies for blood glucose monitoring. Advancing technology allows exploration of non-invasive blood glucose monitoring through the use of a practical digital sensor that is portable and pain-free for the user. Infrared spectroscopy is the method used by a type of sensor which is highly sensitive to blood glucose levels. The patient only needs to place a finger on the sensor and it will operate according to user’s physiological condition, metabolism, and circulation. This device requires reliability and must be calibrated to ensure the accuracy of the blood glucose result11.

Utilization of digital sensor to detect cholesterol. People with hypercholesterolemia are at higher risk of stroke. A considerable amount of cholesterol in the blood might develop and lead to coagulation, atherosclerosis, and blood flow obstruction which causes stroke. Moreover, low levels of High Density Lipoprotein, (HDL “good” cholesterol) is recognized as a risk factor for stroke in males17. Modification of primary serum lipid biomarkers, such as low-density lipoprotein cholesterol (LDL-C), might be implemented as a strategy for reducing risk of secondary stroke among patients with TIA or ischemic stroke. Considering that hypercholesterolemia is associated with arteriosclerosis, hypertension, and myocardial infarction, identifying cholesterol levels is imperative for establishing a clinical diagnosis. A diagnostic test is required to identify cholesterol levels. Most hospitals currently still apply an invasive or traditional procedure that includes glass, ceramic and polymer and the results require waiting time. Therefore, a device to detect cholesterol levels through a digital sensor which is pain-free with rapid and accurate results is currently being developed15.

Development of a sensitive, accurate, and inexpensive biosensor will facilitate the filtering of biomarkers of certain diseases. Cellulose filter paper has recently been invented for sensory applications at a very low cost. The paper-based biosensor offers several advantages including biocompatibility, low cost and disposability10. In addition, amperometric biosensors that incorporate analytical devices are capable of converting concentrations of electrical signals which are integrated with biological sensors. Hence, portable biosensors are user-friendly, possess high specificity, and are currently utilized in multidisciplinary fields, including pharmacy, nursing, medicine and physiotherapy. The portable biosensors allow easy detection of cholesterol levels without any associated pain and require shorter times to produce the result. A sensitive, selective, reliable and inexpensive cholesterol sensing device is presently being developed for clinical use in measuring cholesterol levels which allows independent monitoring by the user at home12.

Utilization of digital sensors to detect cardiac disorders. Heart attack occurs when plaque accumulation causes a blockage in blood vessels supplying the heart. Most stroke cases are also primarily caused by an accumulation of plaque that causes a blockage in blood vessels within the brain9. Electrocardiography (ECG) may be employed to identify heart disorders and its use is still very widespread. However, the result requires interpretation by health professionals, even if the patient is able to afford the device. A study reported that 1 out of 5 patients with ischemic stroke or TIA had a medical history of atrial fibrillation (AF) or indicated that they were affected by AF, according to a 12-lead ECG, putting at risk in the future. Early detection of AF may lead to appropriate treatment and offer more cost effective care in health system13.

Non-invasive diagnostic techniques. Non-invasive diagnostic techniques have advanced considerably, offering safer and more patient-friendly alternatives with high diagnostic accuracy. Kirschbaum et al. investigated the combined use of computed tomography coronary angiography (CTCA) and magnetic resonance perfusion imaging (MRPI) for diagnosing stable angina9. Their study demonstrated that this dual approach provides effective diagnostic capabilities without the invasiveness of traditional procedures, thereby improving diagnostic certainty and patient outcomes.

In another study by Higgins et al., non-invasive cardiac event monitoring was evaluated for detecting atrial fibrillation (AF) following ischemic stroke13. Through a randomized controlled trial, continuous non-invasive monitoring significantly enhanced AF detection rates compared to standard care. This advancement is crucial for managing post-stroke patients, potentially reducing the likelihood of recurrent cardiovascular events and improving overall patient care.

Additionally, Ilango and Sridhar explored a novel non-invasive blood pressure measurement technique using Android smartphones16. This innovative approach offers a convenient and accessible method for individuals to monitor their blood pressure regularly. By empowering patients with a tool for remote health monitoring, this technology promotes proactive health management and early intervention, ultimately enhancing patient engagement and health outcomes.

Innovative health monitoring technologies. Innovative health monitoring technologies are revolutionizing patient care through advanced sensing capabilities and user-friendly interfaces. Xuan et al. introduced a reaction-based "off-on" fluorescent probe that enables the detection of endogenous labile Fe2+ and imaging of Zn2+-induced Fe2+ flux in living cells17. This probe offers sensitive detection capabilities, shedding light on cellular iron dynamics and its implications in conditions like ischemic stroke. By providing real-time imaging of cellular processes, this technology enhances our understanding of disease mechanisms and aids in early diagnosis.

In a different approach, Villarreal et al. presented a platform and mobile device application designed for patients to monitor and store blood pressure measurements18. This system empowers patients by allowing them to track their blood pressure levels accurately and conveniently, enhancing their engagement in managing their health. By seamlessly integrating health monitoring into everyday devices, such as smartphones, this technology supports continuous health surveillance and facilitates proactive healthcare practices.

These innovations underscore the transformative potential of integrating advanced sensing technologies with accessible interfaces in healthcare. By enabling real-time monitoring and early detection of health indicators, these technologies contribute to improved patient outcomes and more personalized healthcare interventions.

Discussion

Recurrent stroke is an event that occurs after an initial stroke attack. The American Stroke Association (ASA) claims that the average risk of stroke recurrence after ischemic stroke or TIA (transient ischemic attack) is 3–4%2. Following recuperation from stroke, most patients prioritize rehabilitation and recovery programs while neglecting efforts for secondary prevention. Secondary prevention is fundamental to prevent stroke recurrence as it may result in a more debilitating impact than the initial stroke3.

Risk factors of recurrent stroke are similar to those of primary stroke and include modifiable and non-modifiable factors. Secondary prevention refers to all efforts made to prevent recurrent stroke. Secondary prevention involves all attempts which address modifiable risk factors20. Secondary prevention consists of risk factor management, intervention to resolve vascular obstruction, anti-thrombolytic therapy for cardio embolic stroke, and antiplatelet therapy for non-cardio embolic stroke. Nurses play an important role as educators in secondary prevention by providing health information for controlling risk factors5. Studies addressing knowledge about the risk of impending stroke had been focused on the community as a whole. A study evaluating knowledge about risk factor in patients at high risk revealed that only 42% of patients with a history of stroke were aware of their own risk of stroke recurrence and only 27% of them reported it to a physician. The study also identified a low level of awareness of risk of recurrence among high risk participants (41%), especially those with a medical history of hypertension, diabetes mellitus, hypercholesterolemia and heart disorders21.

Assessment of independent risk factors which trigger recurrent stroke such as hypertension, diabetes mellitus, hypercholesterolemia and heart disease are resources intensive. The frequent measurement of blood glucose is an essential part of recurrent stroke monitoring22. Despite the fact that almost all the commercially successful blood glucose monitoring devices are invasive, there is an immense need to develop non-invasive monitoring devices that will alleviate the pain and suffering of patients associated with the frequent pricking of skin needed to obtain blood samples for glucose testing23. These issues may cause the patient to neglect blood glucose monitoring in health facilities. Therefore, all health professionals, including nurses, are required to be involved in monitoring the patient’s recovery process, including providing motivation and involvement in the development of health devices that contribute to an effective and efficient service for the patient. Current health devices are primarily developed based on a non-invasive concept, which aims to provide comfort during the diagnostic process and are more practical than invasive procedures3.

A glucose sensor with ultrahigh sensitivity and a rapid response time was constructed using a PtNP/ PANI hydrogel heterostructure for non-invasive glucose monitoring14. Studies have shown that the glucose sensors composed of the PtNP/PANI hydrogel heterostructure exhibited unprecedented performance with ultrahigh sensitivity, fast response, and a very low detection threshold and has great potential for use in applications relating to medical diagnosis14. Another study about non-invasive glucose monitoring was conducted by Luo et al. (2011). In this study, a novel amperometric glucose sensor based on Cu decorated graphene sheets sensor the advantages of ease of fabrication, low cost, good reproducibility and perfect specificity to glucose, so is a potential candidate for routine glucose analysis11.

Similar to glucose, methods of monitoring non-invasive hypercholesterolemia are being developed. Ruecha et al. (2014) fabricated a novel nano composite based on G/PVP/PANI using a paper-based cholesterol biosensor that might be an alternative tool for cholesterol screening in medical diagnosis due to its simplicity, low cost, disposability and portability15. Other media such as field-effect transistors have a wide linear range and high sensitivity for detection of cholesterol which suggests that this cost-effective process can lead to portable, reliable and real-time cholesterol detection12. In addition, amperometic cholesterol biosensors using a layer-by-layer adsorption technique onto electrospun polyainiline nanofibers has been used to measure cholesterol consentration10.

Non-invasive monitoring of heart disease as a reccurent stroke risk factor was conducted by Higgins et al. (2013) using the Novacor R-test Evolution 3 device to detect atrial fibrillation after ischemic stroke13. These method was effective because it enhances detection of paroxysmal atrial fibrilation and early anticoagulation13. Non-invasive blood pressure measurement using android smart phones and web applications offer solutions for patients, relatives, doctors and nurses to monitor blood pressure as a predictor of reccurent stroke16,18.

However, most non-invasive technologies, especially digital sensors that detect blood pressure, blood glucose level, cholesterol level and cardiac disorders are still under development. There are various non-invasive technologies outlined in this study and the volume of new studies for this type of non-invasive concept increases yearly. The current situation requires constant updates of available technology. With the advancement of technology, it becomes challenging for the health workers to develop a strategy for monitoring risk factors reccurent stroke in a comprehensive manner21. To that end, this paper provides an overview of currently available non-invasive digital sensors for monitoring blood pressure, blood glucose level, cholesterol level and heart disorders. Furthermore, the adoption of non-invasive monitoring technology is increasing because it is easy to use, low cost, sensitive, and does not cause pain in the patients11,15.

A practical test to detect risk factors of recurrent stroke is expected to be used as an initial guideline to promote a healthier lifestyle and behavior among patients. Individual resolve should be taken into consideration to increase the success rate of the stroke patient’s behavior in monitoring and managing risk factors as well as modifying their lifestyle in order to prevent stroke recurrence which, in turn, improves his or her quality of life24. A previous article revealed that non-invasive methods of diagnostic tests should always be accompanied by an invasive method, specifically when identifying lesions in acute coronary syndrome and also in major diagnostic tests in order to prevent gaps in results from both methods24. However, several articles reported that application of non-invasive devices such as digital sensors offer ease of use, low cost, sensitivity, and do not cause suffering during detection of risk factors of stroke recurrence, including hypertension, diabetes mellitus, hypercholesterolemia and cardiac disorders11,15. Hence, development of non-invasive devices with valid predictive results progresses in order to drastically reduce invasive procedures that may cause pain for patients, especially in diagnostic tests for heart failure, kidney failure and vascular disorders25,26. Nevertheless, non-invasive devices have their weakness, and there are no digital sensors currently in use for the detection of hypertension, diabetes mellitus, hypercholesterolemia and heart disorders together.

It becomes a challenge for health workers to develop a strategy for monitoring risk factors for reccurent stroke in a comprehensive manner. On the other hand, the patient is required to purchase all four devices to identify risk factors of recurrent stroke. Yet, this self-screening ability will provide confirmation for patients who are at risk of stroke recurrence so they can follow it up with appropriate prevention measures, including improving lifestyle and accessing health provision to manage and mitigate the risk of recurrence. Recognizing changes in and development of risk factors in patients may inform their decision to access hospital treatment. Consequently, a non-invasive device capable of detecting the four risk factors of stroke recurrence in a single test is expected to be developed in the future. Moreover, such an all-in-one device would be able to calculate cumulative risk of recurrent stroke.

Conclusion

The incidence of recurrent stroke is quite high and causes re-hospitalization of patients. There are several factors that can cause recurrent stroke, including hypertension, hyperglycemia, hypercholesterolemia and heart disease especially atrial fibrillation. It is very important to monitor these factors. With the development of technology, the potential use of non-invasive monitoring for risk factors for recurrent stroke events is considered effective because it is easy to use, low cost, sensitive, and does not cause suffering in patients. There is currently no non-invasive monitoring that assesses all these factors simultaneously. The challenge for health workers is to develop a means of non-invasive monitoring of risk factors for the incidence of recurrent stroke in a comprehensive manner.

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Kariasa IM, Nurachmah E, Setyowati S and Koestoer RA. Digital sensors (non-invasive) for early detection of risk factors for recurrent stroke: A systematic review [version 2; peer review: 1 approved, 1 approved with reservations, 1 not approved]. F1000Research 2024, 8:192 (https://doi.org/10.12688/f1000research.17627.2)
NOTE: If applicable, it is important to ensure the information in square brackets after the title is included in all citations of this article.
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ApprovedThe paper is scientifically sound in its current form and only minor, if any, improvements are suggested
Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit.
Not approvedFundamental flaws in the paper seriously undermine the findings and conclusions
Version 2
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PUBLISHED 19 Jul 2024
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Reviewer Report 14 Sep 2024
Yupin Aungsuroch, Faculty of Nursing, Chulalongkorn University, Bangkok, Thailand 
Approved
VIEWS 6
Dear author,

The title clearly reflects the focus on digital sensors for stroke risk detection. The abstract succinctly summarizes the scope and findings, maintaining coherence with the title.

The introduction identifies the need for ... Continue reading
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Aungsuroch Y. Reviewer Report For: Digital sensors (non-invasive) for early detection of risk factors for recurrent stroke: A systematic review [version 2; peer review: 1 approved, 1 approved with reservations, 1 not approved]. F1000Research 2024, 8:192 (https://doi.org/10.5256/f1000research.168222.r321500)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.
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PUBLISHED 15 Feb 2019
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Reviewer Report 18 Nov 2020
José Luis Ruiz-Sandoval, Neurology Department, Hospital Civil de Guadalajara, Guadalajara, Mexico 
Not Approved
VIEWS 28
Due to:
  1. In Methods: Search strategy is inadequate: A cross analysis  with “secondary stroke prevention” or “stroke recurrence” is lacking.
     
  2. That references 10 to 18 correspond to studies about (mostly digital
... Continue reading
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HOW TO CITE THIS REPORT
Ruiz-Sandoval JL. Reviewer Report For: Digital sensors (non-invasive) for early detection of risk factors for recurrent stroke: A systematic review [version 2; peer review: 1 approved, 1 approved with reservations, 1 not approved]. F1000Research 2024, 8:192 (https://doi.org/10.5256/f1000research.19276.r73527)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.
  • Author Response 19 Jul 2024
    I Made Kariasa, Faculty of Nursing, University of Indonesia, Jakarta, Indonesia
    19 Jul 2024
    Author Response
    1. In Methods: Search strategy is inadequate: A cross-analysis with “secondary stroke prevention” or “stroke recurrence” is lacking.
    Thank you for your critical suggestion. We have revised our method

    ... Continue reading
COMMENTS ON THIS REPORT
  • Author Response 19 Jul 2024
    I Made Kariasa, Faculty of Nursing, University of Indonesia, Jakarta, Indonesia
    19 Jul 2024
    Author Response
    1. In Methods: Search strategy is inadequate: A cross-analysis with “secondary stroke prevention” or “stroke recurrence” is lacking.
    Thank you for your critical suggestion. We have revised our method

    ... Continue reading
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40
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Reviewer Report 18 Aug 2020
Loo Keat Wei, Department of Biological Science, Universiti Tunku Abdul Rahman, Bandar Barat, Kampar, Malaysia 
Approved with Reservations
VIEWS 40
  1. How to define “early detection of the risk factors” when conceptualizing the paper.
     
  2. The “proper practice guidelines” were listed as part of the objective, however, it hasn't been discussed and described thoroughly
... Continue reading
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Keat Wei L. Reviewer Report For: Digital sensors (non-invasive) for early detection of risk factors for recurrent stroke: A systematic review [version 2; peer review: 1 approved, 1 approved with reservations, 1 not approved]. F1000Research 2024, 8:192 (https://doi.org/10.5256/f1000research.19276.r69142)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.
  • Author Response 19 Jul 2024
    I Made Kariasa, Faculty of Nursing, University of Indonesia, Jakarta, Indonesia
    19 Jul 2024
    Author Response
    1. How to define “early detection of the risk factors” when conceptualizing the paper.
    We have added the explanation of early detection of the risk factors.

    2. The “proper ... Continue reading
COMMENTS ON THIS REPORT
  • Author Response 19 Jul 2024
    I Made Kariasa, Faculty of Nursing, University of Indonesia, Jakarta, Indonesia
    19 Jul 2024
    Author Response
    1. How to define “early detection of the risk factors” when conceptualizing the paper.
    We have added the explanation of early detection of the risk factors.

    2. The “proper ... Continue reading

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Alongside their report, reviewers assign a status to the article:
Approved - the paper is scientifically sound in its current form and only minor, if any, improvements are suggested
Approved with reservations - A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit.
Not approved - fundamental flaws in the paper seriously undermine the findings and conclusions
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