Evidence map›Paper›PMID 40664672›Full record

ArticleScientific data2025

Publication of data sharing statements in clinical trials by cardiovascular journals: a quantitative and qualitative analysis.

Yingxin Liu, Gregory Y H Lip, Jingyi Zhang, Xuerui Bai, Jianfeng Li, Lehana Thabane, Harriette G C Van Spall, Guowei Li

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. 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

8 authors.

Yingxin Liu *Center for Clinical Epidemiology and Methodology (CCEM), The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, China.
Gregory Y H LipLiverpool Centre for Cardiovascular Sciences at University of Liverpool, Liverpool John Moores University, Liverpool Heart & Chest Hospital, Liverpool, United Kingdom.ORCID 0000-0002-7566-1626
Jingyi Zhang *Center for Clinical Epidemiology and Methodology (CCEM), The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, China.
Xuerui BaiDepartment of Epidemiology, School of Medicine, Jinan University, Guangzhou, China.
Jianfeng LiDepartment of Epidemiology and Health Statistics, School of Public Health, Guangdong Medical University, Dongguan, China.
Lehana ThabaneDepartment of Health Research Methods, Evidence, and Impact (HEI), McMaster University, Hamilton, ON, Canada.
Harriette G C Van SpallDepartment of Health Research Methods, Evidence, and Impact (HEI), McMaster University, Hamilton, ON, Canada.
Guowei Li *Center for Clinical Epidemiology and Methodology (CCEM), The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, China. ligw@gd2h.org.cn.ORCID 0000-0002-1184-1791

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82473612
6 · The paper itself

Abstract

Many cardiovascular disease (CVD) journals request data sharing statements upon trial report submission, but their compliance in publishing these statements remains unclear. We therefore performed a quantitative analysis to evaluate the current practice of the publications of data sharing statements in clinical trials by CVD journals, which included 78 CVD journals that published clinical trials from Jan 2019 to Dec 2022 and had data sharing statement request. Multivariable logistic regression analysis was used to examine the association between journal characteristics and journals' publications of statements. We also ran an online qualitative survey by sending anonymous questionnaires to editors-in-chief from CVD journals for their opinions on journals' publications of statements, trying to further explore why the journals did not publish statements. Their perspectives could provide in-depth information on and new insights into promoting publications of data sharing statements. This quantitative and qualitative analysis assessing the current practice of publishing data sharing statements by CVD journals, may generate new evidence to promote the actual data sharing and transparency in CVD trials.

Indexed as

Cardiovascular DiseasesClinical Trials as TopicInformation DisseminationPeriodicals as TopicPublishingHumansSurveys and Questionnaires

Identifiers

PMID40664672
PMCPMC12263965

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.