دورية أكاديمية

Synthesis methods used to combine observational studies and randomised trials in published meta-analyses

التفاصيل البيبلوغرافية
العنوان: Synthesis methods used to combine observational studies and randomised trials in published meta-analyses
المؤلفون: Cherifa Cheurfa, Sofia Tsokani, Katerina-Maria Kontouli, Isabelle Boutron, Anna Chaimani
المصدر: Systematic Reviews, Vol 13, Iss 1, Pp 1-9 (2024)
بيانات النشر: BMC, 2024.
سنة النشر: 2024
المجموعة: LCC:Medicine
مصطلحات موضوعية: Data synthesis, Non-randomised studies, Comparative effectiveness, heterogeneous designs, Medicine
الوصف: Abstract Background This study examined the synthesis methods used in meta-analyses pooling data from observational studies (OSs) and randomised controlled trials (RCTs) from various medical disciplines. Methods We searched Medline via PubMed to identify reports of systematic reviews of interventions, including and pooling data from RCTs and OSs published in 110 high-impact factor general and specialised journals between 2015 and 2019. Screening and data extraction were performed in duplicate. To describe the synthesis methods used in the meta-analyses, we considered the first meta-analysis presented in each article. Results Overall, 132 reports were identified with a median number of included studies of 14 [9–26]. The median number of OSs was 6.5 [3–12] and that of RCTs was 3 [1–6]. The effect estimates recorded from OSs (i.e., adjusted or unadjusted) were not specified in 82% (n = 108) of the meta-analyses. An inverse-variance common-effect model was used in 2% (n = 3) of the meta-analyses, a random-effects model was used in 55% (n = 73), and both models were used in 40% (n = 53). A Poisson regression model was used in 1 meta-analysis, and 2 meta-analyses did not report the model they used. The mean total weight of OSs in the studied meta-analyses was 57.3% (standard deviation, ± 30.3%). Only 44 (33%) meta-analyses reported results stratified by study design. Of them, the results between OSs and RCTs had a consistent direction of effect in 70% (n = 31). Study design was explored as a potential source of heterogeneity in 79% of the meta-analyses, and confounding factors were investigated in only 10% (n = 13). Publication bias was assessed in 70% (n = 92) of the meta-analyses. Tau-square was reported in 32 meta-analyses with a median of 0.07 [0–0.30]. Conclusion The inclusion of OSs in a meta-analysis on interventions could provide useful information. However, considerations of several methodological and conceptual aspects of OSs, that are required to avoid misleading findings, were often absent or insufficiently reported in our sample.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2046-4053
Relation: https://doaj.org/toc/2046-4053
DOI: 10.1186/s13643-024-02464-w
URL الوصول: https://doaj.org/article/e69310752b14470089ef32e22db400d4
رقم الأكسشن: edsdoj.69310752b14470089ef32e22db400d4
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20464053
DOI:10.1186/s13643-024-02464-w