Evidence map›Paper›PMID 35799334›Full record

SynthesisResearch synthesis methods2022

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

Tianqi Yu, Lifeng Lin, Luis Furuya-Kanamori, Chang Xu

Abstract readMeta-Analysis
In one paragraph

Synthesis in Research synthesis methods, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Tianqi YuChinese Evidence-based Medicine Center, West China Hospital, Sichuan University, Chengdu, China.ORCID https://orcid.org/0000-0002-6160-505X
Lifeng LinDepartment of Statistics, Florida State University, Tallahassee, Florida, USA.ORCID https://orcid.org/0000-0002-3562-9816
Luis Furuya-KanamoriUQ Centre for Clinical Research, Faculty of Medicine, University of Queensland, Herston, Australia.ORCID https://orcid.org/0000-0002-4337-9757
Chang XuMinistry of Education Key Laboratory for Population Health Across-life Cycle & Anhui Provincial Key Laboratory of Population Health and Aristogenics & School of Public Health, Anhui Medical University, Anhui, China.ORCID https://orcid.org/0000-0002-2627-1250

Funding

Statistical Methods and Software for Multivariate Meta-analysisR01LM012982 · NLM · UNIVERSITY OF MINNESOTA · PI LIN, LIFENG, SIEGEL, LIANNE · 2019 to 2022
$1.3M
Joint modeling of continuous and binary data in meta-analysisR03MH128727 · NIMH · UNIVERSITY OF ARIZONA · PI LIN, LIFENG · 2022 to 2023
$146k
Australian National Health and Medical Research Council APP1158469NIMH NIH HHS R03 MH128727NLM NIH HHS R01 LM012982
6 · The paper itself

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.

Indexed as

Systematic Reviews as TopicData Collectiondecision-makingearliest studiesempirical investigationevidence synthesis

Identifiers

PMID35799334
PMCPMC9585992

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.