A 7-Step Guideline for Qualitative Synthesis and Meta-Analysis of Observational Studies in Health Sciences

被引:4
|
作者
Glisic, Marija [1 ,2 ]
Raguindin, Peter Francis [1 ,2 ,3 ,4 ]
Gemperli, Armin [2 ,5 ]
Taneri, Petek Eylul [6 ]
Salvador, Dante, Jr. [1 ,3 ]
Voortman, Trudy [7 ,8 ]
Vidal, Pedro Marques [9 ,10 ]
Papatheodorou, Stefania I. [11 ]
Kunutsor, Setor K. [12 ,13 ]
Bano, Arjola [1 ,14 ]
Ioannidis, John P. A. [15 ,16 ,17 ,18 ]
Muka, Taulant [1 ,18 ,19 ]
机构
[1] Univ Bern, Inst Social & Prevent Med, Bern, Switzerland
[2] Swiss Parapleg Res, Nottwil, Switzerland
[3] Univ Bern, Grad Sch Hlth Sci, Bern, Switzerland
[4] Univ Lucerne, Fac Hlth Sci & Med, Luzern, Switzerland
[5] Univ Lucerne, Inst Primary & Community Care, Luzern, Switzerland
[6] Natl Univ Ireland, HRB Trials Methodol Res Network, Galway, Ireland
[7] Univ Med Ctr, Erasmus MC, Dept Epidemiol, Rotterdam, Netherlands
[8] Wageningen Univ & Res, Div Human Nutr & Hlth, Wageningen, Netherlands
[9] Lausanne Univ Hosp CHUV, Dept Med, Internal Med, Lausanne, Switzerland
[10] Univ Lausanne, Lausanne, Switzerland
[11] Harvard TH Chan Sch Publ Hlth, Dept Epidemiol, Boston, MA USA
[12] Univ Leicester, Leicester Gen Hosp, Diabet Res Ctr, Leicester, England
[13] Univ Bristol, Southmead Hosp, Bristol Med Sch, Translat Hlth Sci, Bristol, England
[14] Univ Bern, Bern Univ Hosp, Dept Cardiol, Inselspital, Bern, Switzerland
[15] Stanford Univ, Stanford Prevent Res Ctr, Dept Med, Sch Med, Stanford, CA USA
[16] Stanford Univ, Dept Epidemiol & Populat Hlth, Sch Med, Stanford, CA USA
[17] Stanford Univ, Dept Stat, Stanford, CA USA
[18] Stanford Univ, Meta Res Innovat Ctr Stanford METR, Stanford, CA 94305 USA
[19] Epistudia, Bern, Switzerland
基金
欧盟地平线“2020”;
关键词
cross-sectional studies; observational study; evidence-based approach; cohort studies; systematic review and meta-analysis; DOSE-RESPONSE DATA; COCHRANS Q TEST; PUBLICATION BIAS; META-REGRESSION; HETEROGENEITY; RISK; POWER;
D O I
10.3389/phrs.2023.1605454
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Objectives: To provide a step-by-step, easy-to-understand, practical guide for systematic review and meta-analysis of observational studies.Methods: A multidisciplinary team of researchers with extensive experience in observational studies and systematic review and meta-analysis was established. Previous guidelines in evidence synthesis were considered.Results: There is inherent variability in observational study design, population, and analysis, making evidence synthesis challenging. We provided a framework and discussed basic meta-analysis concepts to assist reviewers in making informed decisions. We also explained several statistical tools for dealing with heterogeneity, probing for bias, and interpreting findings. Finally, we briefly discussed issues and caveats for translating results into clinical and public health recommendations. Our guideline complements "A 24-step guide on how to design, conduct, and successfully publish a systematic review and meta-analysis in medical research" and addresses peculiarities for observational studies previously unexplored.Conclusion: We provided 7 steps to synthesize evidence from observational studies. We encourage medical and public health practitioners who answer important questions to systematically integrate evidence from observational studies and contribute evidence-based decision-making in health sciences.
引用
收藏
页数:12
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