Evidence map›Paper›PMID 42482605›Full record

ArticleJournal of evidence-based medicine2026

Practical Guidance on Fisher's z Transformation for Meta-Analysis of Pearson's Correlation Coefficients.

Jiayu Chen, Yipeng Wang, Lifeng Lin

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of evidence-based medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Jiayu ChenDepartment of Statistics, Florida State University, Tallahassee, USA.
Yipeng WangEli Lilly and Company, Indianapolis, USA.
Lifeng LinDepartment of Epidemiology and Biostatistics, University of Arizona, Tucson, USA.

Funding

Advanced Methods and Software for Trial Sequential Analysis in Living Systematic ReviewsR21LM014533 · NLM · UNIVERSITY OF ARIZONA · PI LIN, LIFENG · 2024 to 2025
$364k
Innovative Data Integration Models for Handling Evidence Inconsistency in AD/ADRD ResearchR03AG093555 · NIA · UNIVERSITY OF ARIZONA · PI LIN, LIFENG · 2025 to 2025
$301k
Arizona Biomedical Research Centre RFGA2023-008-11NIA NIH HHS R03 AG093555NLM NIH HHS R21 LM014533US National Institute on Aging R03 AG093555US National Library of Medicine R21 LM014533
6 · The paper itself

Abstract

Meta-analyses of correlation coefficients are widely used to synthesize evidence on associations among variables in psychology, medicine, education, and the social sciences, yet practical guidance on how to implement these analyses in standard software remains limited. In this article, we provide a step-by-step introduction to conducting meta-analyses of correlation coefficients in Stata and R, with focus on the use of Fisher's

Indexed as

Meta-Analysis as TopicSoftwareData Interpretation, StatisticalHumanscorrelationdata transformationforest plotfunnel plotmeta‐analysisR softwareStata

Identifiers

PMID42482605
PMCPMC13403996

What OpenQuestion holds

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Registered trials

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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.