Evidence map›Paper›PMID 41523632›Full record

ArticleJournal of clinical and translational science2025

Representation and generalizability in clinical research: Back to basics.

Shari Messinger, Ann Brearley, Barbara H Brumbach, Manisha Desai, Felicity T Enders, Jodi Lapidus, Mary Sammel, Heidi M Spratt

Abstract readEditorial
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical and translational science, 2025. 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

8 authors.

Shari MessingerDepartment of Public Health Science, Division of Biostatistics and Bioinformatics, University of Miami Miller School of Medicine, Miami, FL, USA.ORCID https://orcid.org/0000-0003-1182-2280
Ann BrearleyDivision of Biostatistics and Health Data Science, School of Public Health, University of Minnesota, Minneapolis, MN, USA.ORCID https://orcid.org/0000-0002-6363-7717
Barbara H BrumbachOregon Health and Science University-Portland State University School of Public Health, Portland, OR, USA.
Manisha DesaiQuantitative Sciences Unit, Stanford University School of Medicine, Stanford, CA, USA.ORCID https://orcid.org/0000-0002-6949-2651
Felicity T EndersDepartment of Quantitative Health Sciences, Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN, USA.ORCID https://orcid.org/0000-0002-3261-5400
Jodi LapidusOregon Health and Science University-Portland State University School of Public Health, Portland, OR, USA.
Mary SammelDepartment of Biostatistics & Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.ORCID https://orcid.org/0000-0003-1248-4199
Heidi M SprattDepartment of Biostatistics and Data Science, University of Texas Medical Branch, Galveston, TX, USA.ORCID https://orcid.org/0000-0002-9420-5028

Funding

Oregon Clinical and Translational Research Institute - The National COVID Cohort Collaborative (N3C)UL1TR002369 · NCATS · OREGON HEALTH & SCIENCE UNIVERSITY · PI Cynthia D Morris, Christopher G. Slatore · 2017 to 2026
$78.4M
Miami Clinical and Translational Science InstituteUM1TR004556 · NCATS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Olveen Carrasquillo, ERIN N KOBETZ · 2023 to 2026
$16.0M
NCATS NIH HHS UL1 TR002369NCATS NIH HHS UM1 TR004556
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

efficiencyexternal validityGeneralizabilityheterogeneity of effectsrepresentationstatistical bias

Identifiers

PMID41523632
PMCPMC12779481

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.