Evidence mapPaperPMID 41489000Full record

ArticleJBI evidence synthesis2026

Individual participant data meta-analysis tips and tricks: troubleshooting commonly encountered issues of contacting trialists for individual participant data.

Madeline Flanagan, Lyle C Gurrin, Wentao Li, Malitha Patabendige, Daniel L Rolnik, Ben W Mol

Abstract read
In one paragraph

Article in JBI evidence synthesis, 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

6 authors.

Madeline FlanaganDepartment of Obstetrics and Gynaecology, Monash University, Monash Medical Centre, Clayton, VIC, Australia.ORCID 0000-0001-8371-3126
Lyle C GurrinMelbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia.ORCID 0000-0001-7052-1969
Wentao LiDepartment of Obstetrics and Gynaecology, Monash University, Monash Medical Centre, Clayton, VIC, Australia.ORCID 0000-0001-8980-0909
Malitha PatabendigeDepartment of Obstetrics and Gynaecology, Monash University, Monash Medical Centre, Clayton, VIC, Australia.ORCID 0000-0002-4092-7092
Daniel L RolnikDepartment of Obstetrics and Gynaecology, Monash University, Monash Medical Centre, Clayton, VIC, Australia.ORCID 0000-0002-2263-3592
Ben W MolDepartment of Obstetrics and Gynaecology, Monash University, Monash Medical Centre, Clayton, VIC, Australia.ORCID 0000-0001-8337-550

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe present a framework to guide researchers in contacting and retrieving trial data from trialists. This framework serves 2 purposes: i) to provide a consistent and transparent approach for contacting authors, and ii) to describe how to record clearly all contact attempts and to identify trialists who have not responded to reasonable attempts at communication. This framework will help researchers identify trials that may require investigation for data integrity issues.

backgroundIndividual participant data meta-analysis (IPD-MA) is considered the gold standard for evaluating clinical interventions. The popularity of IPD-MA has increased due to the potential for advanced statistical analyses and the ability to test data veracity prior to analysis. Contacting trialists and requesting data is the most time-intensive step in an IPD-MA project. Often, many datasets are not retrieved, as authors are uncontactable or do not share data. This absence of IPD can bias meta-analysis and interpretation of results. Currently, there is no framework in place to guide researchers in contacting trialists and to define a reasonable point to cease communication attempts. PROPOSED FRAMEWORK: The framework consists of 4 approaches: first, contacting the listed authors on the trial publication; second, contacting the trialists' associated institutions (hospitals and universities); third, contacting colleagues from similar regions within a particular country; and fourth, contacting the journal in search of trialists' contact details. If trialists do not respond to sustained communication attempts, their study should be classified as "non-responding." Depending on the trial context, non-responding trialists or those who respond with concerning reasons why data are unavailable may be subject to further review regarding trial quality and data integrity concerns. CASE STUDY: This framework was applied in an IPD-MA comparing misoprostol with oxytocin for the prevention of postpartum hemorrhage, which included 79 randomized controlled trials. With the use of this framework, trialists from 10 trials responded to the IPD invitation and contributed data (6 of which were used in final analysis); 38 trialists responded but did not contribute data; and 31 trialists did not respond and their trials were subsequently classified as non-responding.

conclusionsThe proposed framework provides a uniform structure for contacting authors and requesting data for IPD-MA, which may increase the likelihood that trialists will respond to IPD-MA invitations. This framework will also help to identify trialists who do not respond to reasonable attempts at communication.

Indexed as

Clinical Trials as TopicMeta-Analysis as TopicResearch PersonnelCommunicationHumansResearch Designdata integritydata sharingindividual participant data meta-analysis (IPD-MA)randomized controlled trials (RCTs)

Identifiers

PMID41489000
PMCPMC12970550

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.