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Patient and Health Professional's Perspectives of Periprosthetic Joint Infection: A Systematic Review and Meta-Ethnography.
Surg Infect (Larchmt)
January 2025
Norfolk and Norwich University Hospital, Norwich, United Kingdom.
Periprosthetic joint infection (PJI) is a major challenge for surgical teams and patients following an orthopedic surgical procedure. There is limited understanding on patient and health professional's perception of PJI. The aim of this study was to examine the literature to better understand the perspectives of patients, and those who manage PJI.
View Article and Find Full Text PDFRisk of bias assessment tools often addressed items not related to risk of bias and used numerical scores.
J Clin Epidemiol
January 2025
Division of Nephrology and Hypertension, Department of Internal Medicine, University of Kansas Medical Centre, 3901 Rainbow Blvd, MS3002, Kansas City, KS, USA. Electronic address:
Objective: We aimed to determine whether the existing risk of bias assessment tools addressed constructs other than risk of bias or internal validity, and whether they used numerical scores to express quality, which is discouraged and may be a misleading approach.
Methods: We searched Ovid MEDLINE and Embase to identify quality appraisal tools across all disciplines in human health research. Tools designed specifically to evaluate reporting quality were excluded.
The effectiveness and safety of Xiao'er Feike granules in the treatment of acute bronchitis: A systematic review and meta-analysis.
J Ethnopharmacol
January 2025
School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China. Electronic address:
Ethnopharmacological Relevance: Xiao'er Feike Granules (XFG), containing eighteen incompatibilities, is an approved and widely used classical Chinese medicine prescription for the treatment of pediatric respiratory diseases. Extensive clinical studies have reported that XFG demonstrates high efficacy and minimal adverse reactions in treating acute bronchitis (AB). However, there is an urgent need for a more cohesive evaluation of the evidence regarding the safe clinical use of XFG for AB.
View Article and Find Full Text PDFEffects of non-pharmacological interventions on biochemical hyperandrogenism in women with polycystic ovary syndrome: a systematic review and network meta-analysis.
J Ovarian Res
January 2025
LongHua Hospital Shanghai University of Traditional Chinese Medicine, No.725 Wanping South Road, Xuhui District, Shanghai, 200032, China.
Objective: To systematically evaluate the effectiveness of non-pharmacological interventions (NPIs), including electroacupuncture, exercise, diet, and lifestyle changes, in reducing androgen levels in women with polycystic ovary syndrome (PCOS) through a systematic review and network meta-analysis.
Methods: Comprehensive searches were conducted in PubMed, Embase, Cochrane Library, Web of Science, CNKI, and Wanfang up to June 2024. Randomized controlled trials (RCTs) comparing NPIs with other NPIs or placebo treatments in adult women with PCOS were included.
Methods for data extraction and data transformation in convergent integrated mixed methods systematic reviews.
JBI Evid Synth
January 2025
The University of West London Centre for Evidence-Based Healthcare: A JBI Centre of Excellence, College of Nursing, Midwifery and Healthcare, University of West London, London, United Kingdom.
Objective: The objective of this guidance paper is to describe data transformation involving qualitization, including when and how to undertake this process, and to clarify how it aligns with data extraction in order to expand on the current guidance for JBI convergent integrated mixed methods systematic reviews (MMSRs).
Introduction: The convergent integrated approach to MMSRs involves combining extracted data from both quantitative studies (including the quantitative components of mixed methods studies) and qualitative studies (including the qualitative components of mixed methods studies). This process requires data transformation, which can occur either by converting qualitative data into quantitative data (ie, quantitizing) or converting quantitative data into qualitative data (ie, qualitizing).
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