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Effectiveness and acceptability of different lifestyle interventions for women with polycystic ovary syndrome: protocol for a systematic review and network meta-analysis
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Effectiveness and acceptability of different lifestyle interventions for women with polycystic ovary syndrome: protocol for a systematic review and network meta-analysis
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Effectiveness and acceptability of different lifestyle interventions for women with polycystic ovary syndrome: protocol for a systematic review and network meta-analysis
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Journal Article
Effectiveness and acceptability of different lifestyle interventions for women with polycystic ovary syndrome: protocol for a systematic review and network meta-analysis
2024
Overview
IntroductionWomen with polycystic ovary syndrome (PCOS) experience various metabolic, endocrine, reproductive and psychosocial manifestations. Lifestyle modification is crucial for the management of PCOS to reduce long-term complications. Nonetheless, the efficacy and acceptability of lifestyle interventions differs, and there are no uniform methods of clinical application. Hence, a systematic review and network meta-analysis (NMA) are needed to explore the efficacy and acceptability of lifestyle interventions to inform clinical practice.Methods and analysisTen databases (Cochrane Gynaecology and Fertility Specialised Register, Cochrane Register of Studies Online, PubMed, EMBASE (Excerpta Medica Database), PsycINFO, CINAHL (Cumulative Index to Nursing and Allied Health Literature), Chinese National Knowledge Infrastructure, WanFang, VIP, and Sinomed) and four clinical trial registry platforms will be searched to identify literature published in English or Chinese reporting results of randomised clinical trials conducted to evaluate the effects of lifestyle interventions for women with PCOS. The reference lists of the included studies will be manually searched. Primary outcomes will include biochemical and clinical hyperandrogenism, recruitment and retention rates. Secondary outcomes will encompass menstrual regularity, ovulation, anthropometry and quality of life. Literature selection and extraction of data will be performed independently by at least two researchers. An NMA random-effects model will be implemented for amalgamating evidence. All treatments will be ranked based on the value of p. OpenBUGS will be used for Bayesian modelling, with output verifications generated in Stata and R. The quality of evidence supporting network estimates of major outcomes will also be appraised using the Grading of Recommendations Assessment, Development, and Evaluation framework.Ethics and disseminationEthical approval is not required for this review as no data will be collected from human participants. Results will be presented in a peer-reviewed publication.PROSPERO registration numberCRD42024499819
Publisher
British Medical Journal Publishing Group,BMJ Publishing Group LTD,BMJ Publishing Group
