Keywords
Quality of life, Cholangiocarcinoma, medicinal cannabis, Northeastern Thailand
This article is included in the Oncology gateway.
Cholangiocarcinoma (CCA) has a poor prognosis and is a major cause of mortality and suffering in Thailand’s Northeastern (Isaan) Region.
This prospective cohort study aimed to compare the health-related quality of life (HRQoL) among 72 newly diagnosed CCA patients; 42 patients who received cannabis treatment (CT) and 30 patients who received a standard palliative care treatment (ST). The study was carried out between 1st September 2019 to 31st October 2020. Data were collected from patients from oncology clinics of six hospitals in five provinces of northeast Thailand. The HRQoL was measured at baseline, and at 2 and 4 months after diagnosis by the European Organisation for Research and Treatment of Cancer (EORTC) Core Quality of Life questionnaires QLQ-C30, and QLQ-BIL21. The Mann-Whitney U-test was performed to compare quality of life scores between the two patient groups and Wilcoxon signed rank test was performed to compare within groups QoL scores at pre-treatment, and 2 and 4 month follow-ups.
Global health status and functional scales, for both groups were high at pre-treatment. At 2 and 4 month follow-up, CT group patients had consistent statistically significantly better Palliative Performance Scale (PPS), and QoL scores, and many symptom scores than the ST group.
Medicinal cannabis may increase QoL for advanced CCA patients. Our findings support the importance of early access to palliative cannabis care clinic before the terminal and acceleration phase close to death.
Quality of life, Cholangiocarcinoma, medicinal cannabis, Northeastern Thailand
This revised version incorporates substantial changes in response to peer reviewer feedback. The Methods section was expanded to include detailed information on sample size calculation, participant enrolment procedures, treatment protocols for both the standard and cannabis-based care groups, and the rationale for instrument selection. Specifically, the EORTC QLQ-C30 and QLQ-BIL21 were justified as appropriate HRQoL tools, with the Palliative Performance Scale (PPS) added to assess functional status. The statistical analysis section was revised to explain the use of non-parametric methods and discuss alternatives such as generalized estimating equations (GEE) for future research. Additionally, clarifications were made regarding the imbalanced baseline characteristics and their implications. The Discussion section was restructured to emphasize HRQoL as the primary outcome, address key findings more concisely, and align with the study objectives. References were updated, inconsistencies were corrected, and minor revisions were made to improve clarity, coherence, and readability throughout the manuscript.
See the authors' detailed response to the review by Ueamporn Summart
Cholangiocarcinoma (CCA) is a rare liver tumor worldwide (incidence <6 cases per 100,000), but, is highly prevalent in parts of Thailand.1 The Northeastern (Isaan) region of Thailand has > 85 cases per 100,000, especially in Khon Kaen Province with 118.5 cases per 100,000 populations. Which is 100 times higher than the global rate.2 Typically, CCAs are asymptomatic in the early stages, and are consequently not diagnosed until late stage when the cancer has already metastasized, severely limiting effective therapeutic options and becoming a major cause of mortality.3 For these patients, palliative treatments such as chemotherapy or supportive care are standard, and median survival ranges from 4 to 6 months4,5; 5 and the 6-month survival is only 35%.5 The major surgical treatments are surgical resection and/or liver transplantation, whereas chemotherapies are virtually palliative given the typical late-stage diagnosis and marked chemo-resistance of this cancer.6
Health-related quality of life (HRQoL) is a multidimensional concept encompassing physical, emotional, and social well-being, and is a key outcome in cancer care.7 Among advanced cholangiocarcinoma (CCA) patients, pain and sleep disturbances are particularly common and have been strongly associated with impaired HRQoL.8–10 Persistent pain not only limits physical functioning but also disrupts sleep, contributing to fatigue, anxiety, and emotional distress.11,12 This symptom burden creates a cycle that further reduces overall quality of life, especially in palliative care settings. Effective management of pain and sleep-related symptoms is therefore critical in improving HRQoL for these patients.
Medical cannabis has been used in palliative care to alleviate pain, relieve nausea and stimulate appetite,13 and has been shown to attain good symptom control and reduce the number of palliative care drugs used.14 A recent oncology study on the short-term outcomes of medical cannabis showed significant improvement in multiple symptoms between baseline and one-month follow-up, including reductions in pain intensity, affective and sensory pain, improved sleep quality and duration and reduced cancer distress, and both physical and psychological symptom burden.15 However, no studies have yet compared the quality of life of patients with advanced CCA treated with, either, a standard palliative-care treatment protocol, or, with medical cannabis.
Thailand was the first country in Southeast Asia to approve cannabis for medical treatment.16 Currently, in Thailand, there are two palliative care treatment protocols allowed for cancer patients; standard treatment regime, and medical cannabis treatment. As there is no comparative Thai research yet on HRQoL from the perspective of patients, this study was designed to compare the perceived quality of life outcomes between the two treatment protocol options.
Sample size calculation
The primary outcome of this study was the difference in health-related quality of life (HRQoL) scores between the cannabis treatment (CT) group and the standard treatment (ST) group over time. HRQoL was measured using the EORTC QLQ-C30 and QLQ-BIL21 at three time points: baseline, 2 months, and 4 months post-treatment.
To determine an adequate sample size for detecting significant differences between the groups, we used a two-sample t-test formula. As the comparisons were planned at three time points, we applied Bonferroni correction to adjust for multiple testing, setting the alpha level at 0.017 (0.05/3). Parameters were drawn from a pilot study involving 15 patients per group with similar characteristics. The estimated standard deviation (σ) was 13.55 and the minimal clinically important difference (Δ) in QoL scores was assumed to be 10 points. The sample size calculation with 80% power (β = 0.20) and α = 0.017 yielded a minimum of 30 participants per group.
To account for potential loss to follow-up, especially given the advanced disease stage, we initially recruited 45 patients per group. This allowed for an estimated 50% attrition rate while ensuring that at least 30 participants remained in each group at the 4-month endpoint ( Figure 1).
Cholangiocarcinoma (CCA) out-patients were enrolled in this prospective cohort study from September 2019 to October 31, 2020, from six hospitals across five provinces in Northeastern Thailand (Roi-Et Regional Hospital, Burirum Regional Hospital, Surin Provincial Hospital, Sawang Dandin Crown Prince Hospital, Panna Nikhom Hospital, and Pana Hospital). Participants were recruited by clinicians upon diagnosis of advanced-stage CCA, confirmed by at least one of the following diagnostic procedures: ultrasonography (U/S), computerized tomography (CT), magnetic resonance imaging (MRI), magnetic resonance cholangiopancreatography (MRCP), endoscopic retrograde cholangiopancreatography (ERCP),17 or histology. Eligibility criteria included a Palliative Performance Scale (PPS) score of >50, corresponding to an estimated life expectancy of more than 60 days.
After diagnosis, treatment options such as chemotherapy, surgery, radiotherapy, standard palliative care, and medical cannabis were explained to patients. Based on informed choice, patients were assigned to either the hospital’s palliative care clinic or medical cannabis clinic. Exclusion criteria included PPS <30,18 cognitive impairment, hospitalization during follow-up, refusal to continue, or loss to follow-up.
Patients in the standard treatment (ST) group received care according to national palliative care guidelines. This included symptom-directed management such as opioid and non-opioid analgesics for pain, antiemetics for nausea, laxatives, nutritional support, psychological counseling, and optional palliative chemotherapy or radiotherapy where appropriate. Multidisciplinary palliative care teams delivered services.
These cannabis regimens were administered under the Thai Ministry of Public Health’s clinical cannabis protocol, which includes dosing guidelines, adverse effect monitoring, and follow-up as outlined in official regulatory documents.19,20 Patients were monitored using the Edmonton Symptom Assessment System (ESAS) at each visit, and dose titration was adjusted based on symptom response and tolerability.
The medical cannabis treatment (CT) group received care under Thailand’s Ministry of Public Health regulations. Three cannabis extract regimens were used: 1) THC (12.5 mg/ml), 2) THC: CBD 1:1 (THC 27 mg/ml: CBD 25 mg/ml), and 3) DTAM Ganja Oil (THC 2 mg/ml ± CBD 0.5 mg/ml). Patients were cannabis-naive and followed a titration approach based on the “start low, go slow, stay low” principle.21 Dosing began with the lowest effective amount, adjusted every 1–2 days until symptom relief was achieved. Adverse effects triggered dose reduction or discontinuation. The protocol included drug holidays and ESAS (Edmonton Symptom Assessment System) monitoring.
Eligibility for cannabis included terminal cancer, COPD, or AIDS diagnoses without contraindications. Prescriptions were authorized by trained medical or Thai traditional medicine practitioners.
HRQoL and functional status were assessed using the EORTC QLQ-C30 (version 3.0), the disease-specific QLQ-BIL21 module, and the Palliative Performance Scale (PPS) at baseline, 2 months, and 4 months. These instruments were selected based on their strong validation in oncology populations, availability in Thai translations validated for clinical use, and their specific applicability to cholangiocarcinoma-related symptoms.22,23 While the Functional Assessment of Cancer Therapy-Hepatobiliary (FACT-Hep) is also a disease-specific tool,24 the EORTC QLQ-C30 and QLQ-BIL21 were preferred in this study because they are widely used in international and Thai clinical studies, and the QLQ-BIL21 specifically captures biliary-related symptom burden such as jaundice, weight loss, eating difficulties, and anxiety.25 Scoring followed EORTC guidelines, with higher scores indicating better function or higher symptom burden depending on the scale. Patients were categorized into QoL groups: <33 = low QoL, >66 = high QoL for functional scales; the reverse applied for symptom scales.26,27 Additionally, the Palliative Performance Scale (PPS) was used to evaluate patients’ functional status and eligibility. PPS has demonstrated prognostic utility in palliative care settings and complemented HRQoL measures in understanding patient condition across time.23
The QOL data was collected by specially trained research assistants in each hospital at the time of enrollment into the study, and by the researcher in hospital, or, in the community among survivors at 2- and 4-months’ post-treatment. Research monitoring and quality control procedures included the researcher observing research assistants’ first interview before treatment and researcher carrying out follow-up interviews at 2- and 4-months post-treatment commencement.
Descriptive statistics were used to summarize demographic and clinical characteristics. Due to data characteristics, the primary outcome, HRQoL score differences between groups and over time, was analyzed using non-parametric methods. The Mann-Whitney U test was used for between-group comparisons, and the Wilcoxon signed-rank test was applied for within-group comparisons across time points.
These non-parametric tests were selected based on assumption testing, which revealed non-normal distributions of HRQoL scores (as confirmed by Shapiro-Wilk tests and Q-Q plots), particularly at follow-up time points. Because several questionnaire items were ordinal, non-parametric methods were considered more appropriate than parametric tests.
While non-parametric methods were used due to distributional concerns, we acknowledge the potential for within-subject correlation over time. Future studies with larger samples may consider using generalized estimating equations (GEE) to model repeated measures and account for time-dependent covariates more robustly. All analyses were conducted using SPSS version 24.
This research was approved by the Maha-Sarakham University Human Research Ethics Committee (Reference NO.204/2563), Roi-Et Regional Hospital, and Burirum Regional Hospital (Reference RE064/2563). Ethics Committees for Human Research, based on the Declaration of Helsinki and the ICH GCP guidelines Written informed consent was obtained from all patients.
Initially, 52 patients chose a standard treatment (ST), and 63 patients chose medical cannabis treatment (CT), all with Palliative Performance Scores (PPS) > 50. However, by the four-month follow-up point, there were only 72 patients remaining (21 dropped out at the 2 nd month, and a further 12 at 4 months), leaving 30 patients in the ST group and 42 in the CT group, respectively. In total, 30 patients were in the ST group (15 males and 15 females) and 42 patients in the CT group (27 males and 15 females). Their mean ages were 66.03 (S.D. = 11.46) and 65.80 years (S. D. = 10.55), respectively. Most patients were single/widowed (66.64%/59.52%) and worked in agriculture (50.0%/52.38%). Mean PPS scores were 79.33 (S.D. = 5.83) and 80.23 (S.D. = 12.78), respectively. Table 1 displays fuller demographic characteristics of the 72 CCA patients.
Comparison of variables in EORTC QLQ-C30, QLQ-QLQ-BIL21 at the pre-treatment, 2nd and 4th month treatment ( Table 2).
variables | Pre-treatment | 2nd month treatment | 4th month treatment | ||||||
---|---|---|---|---|---|---|---|---|---|
Standard | Cannabis | P value | Standard | Cannabis | P value | Standard | Cannabis | P value | |
PPS | 79.33(5.83) | 80.23(12.78) | 0.813 | 59.00 (9.59) | 80.24(12.94) | <0.001* | 41.66 (18.76) | 68.09(26.79) | <0.001* |
Min, max | 70, 90 | 60, 100 | 50, 80 | 60, 100 | 20, 80 | 20, 100 | |||
EORTC QLQ-C30 | |||||||||
Global health status/QoL | 67.77(8.39) | 67.26(14.06) | 0.831 | 58.05(9.15) | 67.85(19.17) | 0.010* | 41.66(11.58) | 65.27(27.16) | <0.001* |
Functional scales | |||||||||
Physical functioning | 84.00(12.81) | 78.73(22.19) | 0.541 | 60.22(17.19) | 67.93(33.93) | 0.096 | 26.66(25.37) | 62.06(41.68) | 0.002* |
Role functioning | 92.77(11.31) | 86.11(18.73) | 0.143 | 73.89(18.40) | 74.60(32.35) | 0.355 | 39.44(33.18) | 66.26(40.73) | 0.007* |
Emotional functioning | 76.94(14.79) | 73.01(25.88) | 0.831 | 75.55(12.36) | 80.75(21.81) | 0.035* | 76.66(15.53) | 85.11(18.90) | 0.017* |
Cognitive functioning | 93.88(10.24) | 86.50(16.14) | 0.046* | 86.66(12.68) | 80.15(23.92) | 0.459 | 62.22(25.86) | 78.57(26.36) | 0.007* |
Social functioning | 68.88(17.90) | 75.00(22.16) | 0.263 | 61.66(17.03) | 76.54(23.89) | 0.007* | 48.33(24.89) | 76.98(27.77) | <0.001* |
Symptom scales | |||||||||
Fatigue | 28.51(5.59) | 33.86(25.02) | 0.301 | 52.59(14.57) | 29.36(26.06) | <0.001* | 78.14(21.13) | 27.77(33.22) | <0.001* |
Nausea & vomiting | 2.22(7.23) | 8.53(18.85) | 0.215 | 2.22(7.23) | 4.36(15.20) | 0.964 | 1.66(5.08) | 2.38(11.38) | 0.454 |
Pain | 26.66(10.35) | 28.57(23.07) | 0.999 | 13.88(14.57) | 21.42(21.55) | 0.186 | 17.22(16.65) | 17.85(16.20) | 0.950 |
Dyspnea | 7.77(14.33) | 11.90(16.16) | 0.236 | 18.88(16.79) | 21.42(24.21) | 0.839 | 37.77(24.34) | 17.45(25.75) | 0.004* |
Insomnia | 17.77(22.71) | 32.53(33.03) | 0.540 | 36.66(20.24) | 20.63(23.22) | 0.004* | 50.55(27.85) | 15.87(22.37) | <0.001* |
Appetite loss | 31.10(21.32) | 30.15(20.57) | 0.841 | 34.44(8.45) | 23.80(25.80) | <0.001* | 82.22(25.86) | 22.22(27.21) | <0.001* |
Constipation | 16.66(16.95) | 14.28(22.22) | 0.364 | 43.33(19.86) | 14.28(19.67) | <0.001* | 81.11(24.26) | 13.49(19.56) | <0.001* |
Diarrhea | 4.44(11.52) | 5.55(14.56) | 0.847 | 9.99(15.53) | 6.34(15.15) | 0.139 | 4.44(11.52) | 3.96(10.92) | 0.888 |
Financial difficulties | 22.22(23.70) | 26.19(28.06) | 0.686 | 29.99(25.29) | 24.60(26.60) | 0.265 | 41.11(35.75) | 23.01(27.03) | 0.026* |
EORTC QLQ- BIL 21 | |||||||||
Eating scale | 20.00(13.05) | 25.00(20.82) | 0.422 | 45.55(14.79) | 25.79(20.14) | <0.001* | 81.38(18.52) | 33.72(28.80) | <0.001* |
Jaundice scale | 5.55(11.94) | 8.20(10.71) | 0.114 | 4.07(10.30) | 8.99(14.14) | 0.069 | 2.22(6.12) | 9.78(18.39) | 0.052 |
Tiredness scale | 28.51(11.18) | 26.45(24.77) | 0.316 | 53.33(14.99) | 29.09(27.32) | <0.001* | 88.51(18.10) | 34.12(32.22) | <0.001* |
Pain scale | 16.38(10.37) | 19.04(14.98) | 0.399 | 18.61(8.38) | 18.25(16.38) | 0.551 | 23.61(9.04) | 19.64(19.36) | 0.120 |
Anxiety scale | 26.37(15.93) | 35.91(26.89) | 0.148 | 35.27(11.72) | 32.53(26.21) | 0.314 | 39.99(16.58) | 32.73(27.38) | 0.114 |
Treatment side-effects | 29.99(20.24) | 35.71(29.80) | 0.426 | 26.66(16.14) | 30.95(30.70) | 0.854 | 16.66(20.99) | 29.36(28.70) | 0.63 |
Drainage bags/tubes | 2.22(8.45) | 4.76(13.91) | 0.43 | 5.55(12.63) | 7.14(15.67) | 0.729 | 4.44(11.52) | 9.52(19.87 | 0.452 |
Weight loss | 21.11(16.33) | 23.80(31.48) | 0.674 | 41.10(14.34) | 19.84(24.48) | <0.001* | 72.22(19.73) | 20.63(26.49) | <0.001* |
At baseline, there were no statistically significant PPS, QoL, or symptom differences between the two groups on QLQ-C30, and QLQ-BIL21 except for higher cognitive functioning in the ST group over the CT group (p = 0.046).
All global health status and functional scores were >66, indicating higher QoL, while all symptom scores were moderate to low. Higher symptom scale scores indicate lower QoL.
The CT group had statistically higher scores for both PPS and QoL than the ST group after 2 months (80.24 ± 12.97; 59.00 ± 9.59, p = 0.010).
In the functional domain, emotional and social function scores were also statistically significantly higher than for the CT group over the ST patients. The CT group now also had statistically significantly lower scores (better QoL) on 7 symptom scales: fatigue, insomnia, appetite loss, constipation, eating, tiredness and weight loss.
Four months after treatment commenced the CT group again had statistically significantly higher PPS and QoL scores than the CT group (68.09 ± 26.79; 41.66 ± 18) (p < 0.010). Most notably, the CT group now also had significantly higher scores on all five Global Health Status QoL function scales: physical, role, emotional, cognitive and social functioning. The CT group also had statistically significantly lower scores (better QoL) on 8 symptom scales: fatigue, dyspnea, insomnia, appetite loss, constipation, eating, tiredness and weight loss.
This study aimed primarily to compare health-related quality of life (HRQoL) between patients with advanced cholangiocarcinoma receiving standard palliative care (ST) versus those receiving medicinal cannabis treatment (CT). This is the first multi-center study in Thailand to explore this comparison in a real-world clinical setting. Although the two groups had similar HRQoL scores at baseline, the CT group consistently reported better global health status, functional outcomes, and lower symptom burden at the 2- and 4-month follow-ups.
To our knowledge, this is the first multi-center study comparing the effects of standard palliative care versus medicinal cannabis treatment on QoL on patients with advanced CCA. The two groups had little difference at baseline but at 2- and 4-month follow-ups the CT group consistently self-reported higher global health status and functional behaviors, and lower illness/symptom-related scores than the standard palliative-care group.
The CT regimen for our CCA patients was associated with meaningful improvements in health-related QoL consistent with previous improvements seen in pain reduction, quality of life, social life, and activity levels with other chronic pain patients.28 From the second month of treatment our CT patients rated improvements in fatigue levels, insomnia, appetite loss, constipation, eating tiredness and weight loss. There was also a significant improvement in dyspnea at the fourth month, maybe due to cannabis’ beneficial effect on appetite, sleep and rest.29 Other cannabis studies have shown more than 10% weight gain,30 and cancer patients feeling refreshed, less fatigued and having reduced side-effects such as nausea, vomiting, and loss of appetite from treatment.31 Cannabinoids can also stimulate a therapeutic response via immune response enhancement.32 This is relevant due to current standard chemotherapy treatments which increase inflammation in all body systems with consequent intellectual impairments including attention, memory, decision making, risk management, fatigue, lack of motivation and peripheral nerve inflammation.33 Cannabis or its derivatives have been widely used by patients with advanced cancer to help with cancer symptoms and treat side effects,32 and patients affirm its use for pain, anxiety, depression, and significantly prefer it over antianxiety medications.34 It is also reported as useful for nausea, sleep, appetite stimulation,34 and even at one-month follow-up, most parameters have been shown to improve significantly from baseline, including pain intensity, affective and sensory pain, sleep quality and duration, cancer distress, and both physical and psychological symptom burden.15
We found no inter-group differences in pain ratings between the second- and fourth-month follow-ups. Pain is one of most common symptoms associated with cancer,10 and is one of the symptoms patients fear most.11 Unrelieved pain denies patients comfort and greatly affects their activities, motivation, social interactions, and overall quality of life.12 Pain management goals are, therefore, is to reduce pain to a level that allows for an acceptable quality of life, and both CT and ST treatments appeared to do this satisfactorily. The benefit of pain relief must be balanced against the risk of adverse side-effects and overdose. Opioid analgesics are essential for the adequate treatment of moderate and severe cancer pain, however, despite good opioid control of baseline pain, some patients do have short-term, short-lived, intense pain episodes. A recent study on cannabis palliative care in oncology patients, had similar findings, suggesting that medical cannabis reduced chronic or neuropathic pain in advanced cancer patients11 with significant improvements in other assessed parameters, including reduced pain intensity, improved sleep, and a decrease in pharmaceutical analgesics consumption.33
There was no inter-group difference in anxiety ratings between the second- and fourth- month follow-ups for our patient groups. Anxiety is common in cancer patients and greatly influences survival rate, adherence to treatment, and quality of life. Advanced stage cancer patients, and those with metastasis, are more likely to have higher levels of anxiety than those with no sign of metastasis.35 Some research on cannabis use in surviving cancer patients has found it alleviated 41.6% of anxiety symptoms,36 however, research on cannabis use for anxiety and depression is currently limited, and there are many confounding factors. In addition, depression and anxiety are both normal and common responses to a cancer diagnosis, and therefore diagnosing clinical levels of anxiety and studying treatments to address these levels in the context of cancer is difficult.37
In addition to quality-of-life outcome differences between ST and CT, research also shows a range of potential patient CT palliative-care access issues. Most patients need oncologist or primary care physician consultations. Thus, the primary care physician needs to be qualified and have good knowledge and a positive attitude towards the use of cannabis treatment among these patients. In an Australian study, most doctors felt their own knowledge was inadequate and only 28.8% felt comfortable discussing medicinal cannabis with patients. GPs generally rated their medical cannabis knowledge as poor and shared care arrangements with a specialist, though supported medical cannabis use in chronic cancer pain and palliative care.38 Four themes were found to underpin reluctance to authorize medical cannabis in Canada; presumed lack of evidence, indications for therapeutic use, discomfort with therapeutic use and practitioner’s openness to emerging evidence.39 Importantly, patients deciding to use cannabis to alleviate cancer symptoms, desired the approval from their medical team. While some patients found their physicians were willing to prescribe cannabis, or, refer them to a medical cannabis expert, some found their physicians were unwilling to discuss a cannabis option for managing their cancer symptoms40 and, were not ready, or, did not want to answer patients’ questions about medical cannabis.41 Some clinicians feel hampered by a lack of clinically relevant information about cannabis use, efficacy, side-effects and have difficulty discussing the medicinal benefits of cannabis in a clinical settings.42 Another study found only 30% of oncologists felt sufficiently informed to make recommendations regarding medical cannabis treatment.29
Most patients with advanced cancer experience symptoms throughout the disease trajectory, often with greater intensity as death approaches. If poorly managed, such symptoms can have a considerable impact on patients’ ability to function, their quality of life and ability to comply with anticancer treatments and use of health care resources.12 Medical cannabis is another option to relieve symptoms caused by the cancer itself, direct or indirect consequences of the cancer, early or late adverse effects of treatment, and/or comorbid conditions cancer treatment, especially late stage cancer. Medical cannabis has been shown to relieve symptoms caused by cancer, to reduce chronic or neuropathic pain in advanced cancer patients43 and to improve patients’ quality of life outcomes. Past medical cannabis treatment research evidence has been inconsistent and generally limited by poor quality, with large variations in cannabis-based products limiting the ability to make direct comparisons,44 as well as studies lacking statistical power and with small subject sizes, and recommendations against the use of medical cannabis as a first or second line option for palliative cancer pain or when other treatments have failed.45 Our study, found beneficial outcomes in a range of quality of life and symptom measures for cannabis treatment over standard palliative care protocols, using standardized medical cannabis products and treatment protocols.
This study has several limitations. One is the number of patients who dropped out before study completion likely due to rapid disease progression. Most patients were elderly and suffered from advanced CCA. Newly diagnosed CCA patients typically have a poor prognosis and short-term survival due to late-stage diagnosis. Registration for the standard palliative care clinic and/or cannabis clinic in each hospital also differs across physicians. Decision-making across patients, families, at different stages of disease, organ metastasis, and for methods of treatment also varies.
To the best of our knowledge, this is the first study to compare quality of life of CCA patients who received ST or CT and were monitored before treatment commencement and at 2 nd and 4 th month follow-ups and, across 8 hospitals, and 5 provinces. Medical cannabis products and usage was standardized under the Thai Food and Drug Administration regulations. The side effects, safety, benefits and harms of this cannabis have been reviewed and certified for patient treatment, by trained and Thai registered prescribers of medical cannabis.
Figshare: QOL of patients with cholangiocarcinoma _ DATA, https://doi.org/10.6084/m9.figshare.17162621.v1.46
Figshare: QOL_document information, https://doi.org/10.6084/m9.figshare.17203922.v1.47
This project contains the research information sheet.
Figshare: QOL_Inform consent, https://doi.org/10.6084/m9.figshare.17203931.v1.48
This project contains the consent form.
Figshare: QOL_questionnaire, https://doi.org/10.6084/m9.figshare.17203934.v1.49
This project contains the questionnaire.
Data are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0).
The authors would like to thank all patients and family colleagues in the Faculty of Medicine, Mahasarakham University especially the University Hospital Center of Excellence Team palliative clinic and cannabis clinic) for their invaluable help and encouragement throughout the course of this research. Finally, the authors express their appreciation for the participation of all patients in this research. This research project was financially supported by Mahasarakham University.
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Is the work clearly and accurately presented and does it cite the current literature?
Yes
Is the study design appropriate and is the work technically sound?
Partly
Are sufficient details of methods and analysis provided to allow replication by others?
Partly
If applicable, is the statistical analysis and its interpretation appropriate?
Yes
Are all the source data underlying the results available to ensure full reproducibility?
Partly
Are the conclusions drawn adequately supported by the results?
Partly
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Hematology, Medical Oncology
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Nursing and Biostatistics
Is the work clearly and accurately presented and does it cite the current literature?
Yes
Is the study design appropriate and is the work technically sound?
Partly
Are sufficient details of methods and analysis provided to allow replication by others?
Partly
If applicable, is the statistical analysis and its interpretation appropriate?
Partly
Are all the source data underlying the results available to ensure full reproducibility?
Partly
Are the conclusions drawn adequately supported by the results?
Partly
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Nursing and Biostatistics
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