ABSTRACT
INTRODUCTION: Obesity is associated with many chronic non-communicable diseases, including hypertension, diabetes, cardiovascular and cerebrovascular diseases, cancer, gallbladder disease, bone and joint disorders, skin diseases, fatty liver disease, etc. (Wharton et al., 2020)1 The recent report revealed that overweight and obesity were prevalent in 60 % of the adult population. Several studies have been published to determine the effect of Hibiscus sabdariffa Linn. on obesity treatment, but the findings are still inconclusive. The purpose of this study was to determine the efficacy and safety of H. sabdariffa Linn in the treatment of obesity. METHODS: We searched PubMed, EMBASE, and CENTRAL from inception to February 2024. Randomized controlled trials (RCTs) were included if they explored the effect of H. sabdariffa on one of the following outcomes: body weight, body mass index (BMI), waist circumference, and waist-to-hip ratio. A random-effects model was used to meta-analyze the data. I2 was used to quantify statistical heterogeneity among the included RCTs. PROSPERO registered protocol: CRD42023408880. RESULTS: A total of six RCTs with 339 participants were included. Four trials used H. sabdariffa extract in capsules as the intervention of interest compared to placebo, while the other two trials used H. sabdariffa tea compared to black or green tea. Our meta-analyses showed that the mean difference in weight reduction between H. sabdariffa and control was - 0.27 kg (95 % confidence interval (CI); - 1.98 to 1.42, I2 = 0.0 %). The mean differences for BMI and waist circumference reduction were - 0.06 kg/m2 (95 % CI; - 0.58 to 0.47, I2 = 0.0 %) and - 0.20 centimeters (95 % CI; - 2.06 to 1.66, I2 = 0.00 %). No safety concerns were reported in the included studies. CONCLUSION: Our study did not show a clinical benefit of H. sabdariffa extract in obesity treatment. However, further high-quality RCTs with a longer treatment duration and a standard dose are still warranted.
ABSTRACT
OBJECTIVE: To determine the comparative effects of different types of telemedicine on anticoagulation control and adverse outcomes in patients taking warfarin. DATA SOURCES: A systematic search was conducted in PubMed, the Cochrane library, EMBASE, CINAHL, OpenGrey, and DART-Europe from inception to September 2019. STUDY SELECTION: Randomized controlled trials, quasi-experimental and cohort studies were included if they evaluated the effect of telemedicine in patients using warfarin for 3 months or more. METHODS: Two reviewers extracted and assessed the quality of studies by means of the Cochrane Effective Practice and Organization of Care Group. Network meta-analyses were performed using a random-effects model. Surface under the cumulative ranking curve (SUCRA) methods were used to rank different telemedicine types. RESULTS: Of the 14,673 articles retrieved, 12 studies involving 11,478 patients met the inclusion criteria. The 5 types of telemedicine categorized were 1) laboratory draw with individual telephonic follow-up by health care (HC) providers (Lab/Tel/HC); 2) laboratory draw with individual telephonic follow-up with periodic, routine routine face-to-face (F2F) visit (Lab/Tel+F2F/HC); 3) laboratory draw with individual and group follow-up via online access (Lab/Online/HC); 4) patient self-test (PST) with telephonic or Web-based follow-up by automated management system (PST/Tel-Online/Auto); and 5) PST with telephonic follow-up by HC provider (PST/Tel/HC). PST/Tel-Online/Auto appears to be superior to F2F for TTR (mean difference 8.78%; 95% CI 0.06%-17.50%) and Lab/Online/HC for in-range INR (odds ratio 2.59; 95% CI 1.04-6.46). The SUCRAs suggested that PST/Tel-Online/Auto was preferred for both TTR and INR, at 84.2% and 93.9%, respectively, whereas Lab/Tel/HC was preferred to prevent major bleeding (74.1%) or thromboembolic event (70.7%). CONCLUSION: According to the current evidence of uncertain quality, the best effects on anticoagulation control and adverse outcomes were achieved from different types of telemedicine. Variations in the effects of telemedicine on diverse outcomes should be considered before implementing telemedicine interventions in patients taking warfarin.
