Evidence map›Paper›PMID 37381621›Full record

SynthesisResearch synthesis methods2023

Estimation of heterogeneity variance based on a generalized Q statistic in meta-analysis of log-odds-ratio.

Elena Kulinskaya, David C Hoaglin

Abstract readMeta-Analysis
In one paragraph

Synthesis in Research synthesis methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

2 authors.

Elena KulinskayaSchool of Computing Sciences, University of East Anglia, Norwich, UK.ORCID https://orcid.org/0000-0002-9843-1663
David C HoaglinDepartment of Population and Quantitative Health Sciences, UMass Chan Medical School, Worcester, Massachusetts, USA.ORCID https://orcid.org/0000-0003-1336-181X

Funding

Economic and Social Research Council ES/L011859/1
6 · The paper itself

Abstract

For estimation of heterogeneity variance

Indexed as

Odds RatioBiasComputer SimulationProbabilitySample Sizeeffective-sample-size weightsheterogeneityinverse-variance weightsrandom effects

Identifiers

PMID37381621
PMCPMC10946484

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.