Literature DB >> 35799334

Synthesizing evidence from the earliest studies to support decision-making: To what extent could the evidence be reliable?

Tianqi Yu1, Lifeng Lin2, Luis Furuya-Kanamori3, Chang Xu4.   

Abstract

In evidence-based practice, new topics generally only have a few studies available for synthesis. As a result, the evidence of such meta-analyses raised substantial concerns. We investigated the robustness of the evidence from these earliest studies. Real-world data from the Cochrane Database of Systematic Reviews (CDSR) were collected. We emulated meta-analyses with the earliest 1 to 10 studies through cumulative meta-analysis from eligible meta-analyses. The magnitude and the direction of meta-analyses with the earliest few studies were compared to the full meta-analyses. From the CDSR, we identified 20,227 meta-analyses of binary outcomes and 7683 meta-analyses of continuous outcomes. Under the tolerable difference of 20% on the magnitude of the effects, the convergence proportion ranged from 24.24% (earliest 1 study) to 77.45% (earliest 10 studies) for meta-analyses of few earliest studies with binary outcomes. For meta-analyses of continuous outcomes, the convergence proportion ranged from 13.86% to 56.52%. In terms of the direction of the effects, even when only three studies were available at the earliest stage, the majority had the same direction as full meta-analyses; Only 19% for binary outcomes and 12% for continuous outcomes changed the direction as further evidence accumulated. Synthesizing evidence from the earliest studies is feasible to support urgent decision-making, and in most cases, the decisions would be reasonable. Considering the potential uncertainties, it is essential to evaluate the confidence of the evidence of these meta-analyses and update the evidence when necessary.
© 2022 John Wiley & Sons Ltd.

Entities:  

Keywords:  decision-making; earliest studies; empirical investigation; evidence synthesis

Mesh:

Year:  2022        PMID: 35799334      PMCID: PMC9585992          DOI: 10.1002/jrsm.1587

Source DB:  PubMed          Journal:  Res Synth Methods        ISSN: 1759-2879            Impact factor:   9.308


  38 in total

1.  Issues in the selection of a summary statistic for meta-analysis of clinical trials with binary outcomes.

Authors:  Jonathan J Deeks
Journal:  Stat Med       Date:  2002-06-15       Impact factor: 2.373

2.  Meta-analyses of small numbers of trials often agree with longer-term results.

Authors:  Peter Herbison; Jean Hay-Smith; William J Gillespie
Journal:  J Clin Epidemiol       Date:  2010-07-06       Impact factor: 6.437

Review 3.  Early studies reported extreme findings with large variability: a meta-epidemiologic study in the field of endocrinology.

Authors:  Zhen Wang; Fares Alahdab; Jehad Almasri; Qusay Haydour; Khaled Mohammed; Abd Moain Abu Dabrh; Larry J Prokop; Wedad Alfarkh; Sumaya Lakis; Victor M Montori; Mohammad Hassan Murad
Journal:  J Clin Epidemiol       Date:  2015-11-10       Impact factor: 6.437

4.  Effect sizes in cumulative meta-analyses of mental health randomized trials evolved over time.

Authors:  Thomas A Trikalinos; Rachel Churchill; Marica Ferri; Stefan Leucht; Arja Tuunainen; Kristan Wahlbeck; John P A Ioannidis
Journal:  J Clin Epidemiol       Date:  2004-11       Impact factor: 6.437

Review 5.  Early extreme contradictory estimates may appear in published research: the Proteus phenomenon in molecular genetics research and randomized trials.

Authors:  John P A Ioannidis; Thomas A Trikalinos
Journal:  J Clin Epidemiol       Date:  2005-04-18       Impact factor: 6.437

6.  Meta-analysis in clinical trials.

Authors:  R DerSimonian; N Laird
Journal:  Control Clin Trials       Date:  1986-09

7.  Rationale for systematic reviews.

Authors:  C D Mulrow
Journal:  BMJ       Date:  1994-09-03

8.  Interpretation of random effects meta-analyses.

Authors:  Richard D Riley; Julian P T Higgins; Jonathan J Deeks
Journal:  BMJ       Date:  2011-02-10

Review 9.  Treatment Effect in Earlier Trials of Patients With Chronic Medical Conditions: A Meta-Epidemiologic Study.

Authors:  Fares Alahdab; Wigdan Farah; Jehad Almasri; Patricia Barrionuevo; Feras Zaiem; Raed Benkhadra; Noor Asi; Mouaz Alsawas; Yifan Pang; Ahmed T Ahmed; Tamim Rajjo; Amrit Kanwar; Khalid Benkhadra; Zayd Razouki; M Hassan Murad; Zhen Wang
Journal:  Mayo Clin Proc       Date:  2018-02-21       Impact factor: 7.616

10.  Characteristics of meta-analyses and their component studies in the Cochrane Database of Systematic Reviews: a cross-sectional, descriptive analysis.

Authors:  Jonathan Davey; Rebecca M Turner; Mike J Clarke; Julian P T Higgins
Journal:  BMC Med Res Methodol       Date:  2011-11-24       Impact factor: 4.615

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.