Evidence map›Paper›PMID 37553403›Full record

ArticleScientific data2023

Clinical trial data sharing: a cross-sectional study of outcomes associated with two U.S. National Institutes of Health models.

Anisa Rowhani-Farid, Mikas Grewal, Steven Solar, Allen O Eghrari, Audrey D Zhang, Cary P Gross, Harlan M Krumholz, Joseph S Ross

Abstract read
In one paragraph

Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Six solutions for clinical study data sharing in Germany.BMC medical research methodology · 2025
    Article
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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.

Anisa Rowhani-FaridDepartment of Practice, Sciences, and Health Outcomes Research, University of Maryland, Baltimore, 220 N Arch St., Baltimore, MD, 21201, USA. anisarowhani@gmail.com.ORCID http://orcid.org/0000-0003-3637-2423
Mikas GrewalSection of General Internal Medicine, Yale School of Medicine, 333 Cedar St., New Haven, CT, 06510, USA.
Steven SolarGenome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, 31 Center Dr, Bethesda, MD, 20894, USA.
Allen O EghrariJohns Hopkins University School of Medicine, 600 N Wolfe St, Baltimore, MD, 21287, USA.
Audrey D ZhangDepartment of Internal Medicine, Duke University School of Medicine, 2301 Erwin Rd., Durham, NC, 27710, USA.ORCID http://orcid.org/0000-0001-9753-4276
Cary P GrossSection of General Internal Medicine, Yale School of Medicine, 333 Cedar St., New Haven, CT, 06510, USA.
Harlan M KrumholzCenter for Outcomes Research and Evaluation (CORE), Yale-New Haven Hospital, 1 Church St., Suite 200, New Haven, CT, 06510, USA.ORCID http://orcid.org/0000-0003-2046-127X
Joseph S RossSection of General Internal Medicine, Yale School of Medicine, 333 Cedar St., New Haven, CT, 06510, USA.ORCID http://orcid.org/0000-0002-9218-3320

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Yale-Mayo FDA Center for Excellence in Regulatory Science and InnovationU01FD005938 · FDA · YALE UNIVERSITY · PI Joseph Solomon Ross · 2016 to 2026
$25.4M
Understanding hospital value: provider, hospital and community effectsR01HS022882 · AHRQ · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI HORWITZ, LEORA · 2014 to 2023
$2.9M
Leveraging Physician Networks to Improve Care and Outcomes for Low-Income PopulationsR01HL144644 · NHLBI · YALE UNIVERSITY · PI NDUMELE, CHIMA · 2019 to 2021
$1.6M
Duke Creating ADRD Researchers for the Next Generation - Stimulating Access to Research in Residency Program (CARiNG-StARR)"R38AG065762 · NIA · DUKE UNIVERSITY · PI VIERA, ANTHONY J, WHITSON, HEATHER E. · 2020 to 2024
$1.4M
Medical reversals: De-implementing ineffective and unsafe treatmentsR01HS025164 · AHRQ · UNIVERSITY OF MINNESOTA · PI KARACA-MANDIC, PINAR · 2017 to 2020
$1.4M
AHRQ HHS R01 HS022882AHRQ HHS R01 HS025164FDA HHS U01 FD005938NCATS NIH HHS UL1 TR001863NHLBI NIH HHS R01 HL144644NIA NIH HHS R38 AG065762
6 · The paper itself

Abstract

The impact and effectiveness of clinical trial data sharing initiatives may differ depending on the data sharing model used. We characterized outcomes associated with models previously used by the U.S. National Institutes of Health (NIH): National Heart, Lung, and Blood Institute's (NHLBI) centralized model and National Cancer Institute's (NCI) decentralized model. We identified trials completed in 2010-2013 that met NIH data sharing criteria and matched studies based on cost and/or size, determining whether trial data were shared, and for those that were, the frequency of secondary internal publications (authored by at least one author from the original research team) and shared data publications (authored by a team external to the original research team). We matched 77 NHLBI-funded trials to 77 NCI-funded trials; among these, 20 NHLBI-sponsored trials (26%) and 4 NCI-sponsored trials (5%) shared data (OR 6.4, 95% CI: 2.1, 19.8). From the 4 NCI-sponsored trials sharing data, we identified 65 secondary internal and 2 shared data publications. From the 20 NHLBI-sponsored trials sharing data, we identified 188 secondary internal and 53 shared data publications. The NHLBI's centralized data sharing model was associated with more trials sharing data and more shared data publications when compared with the NCI's decentralized model.

Indexed as

Clinical Trials as TopicInformation DisseminationNational Institutes of Health (U.S.)Cross-Sectional StudiesNational Cancer Institute (U.S.)United States

Identifiers

PMID37553403
PMCPMC10409750

What OpenQuestion holds

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LicenceCC BY
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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.