Evidence map›Paper›PMID 34057290›Full record

ArticleResearch synthesis methods2021

Data sharing-trialists' plans at registration, attitudes, barriers and facilitators: A cohort study and cross-sectional survey.

Aidan Christopher Tan, Lisa M Askie, Kylie Elizabeth Hunter, Angie Barba, Robert John Simes, Anna Lene Seidler

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Research synthesis methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
7.1field-weighted citation impact, top 3% of its field
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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 47 citations in OpenAlex.

  1. Pooled it
  2. Investigating for Whom Brief Substance Use Interventions Are Most Effective: An Individual Participant Data Meta-analysis.Prevention science : the official journal of the Society for Prevention Research · 2023
    Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Six solutions for clinical study data sharing in Germany.BMC medical research methodology · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Responsibilities for receiving and using individual participant data.Cochrane evidence synthesis and methods · 2023
    Article
  12. The changing landscape of clinical trials in Australia.The Medical journal of Australia · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. The landscape of COVID-19 trials in Australia.The Medical journal of Australia · 2021
    Article
  19. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Aidan Christopher TanNHMRC Clinical Trials Centre, University of Sydney, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0003-0354-4006
Lisa M AskieNHMRC Clinical Trials Centre, University of Sydney, Sydney, New South Wales, Australia.
Kylie Elizabeth HunterNHMRC Clinical Trials Centre, University of Sydney, Sydney, New South Wales, Australia.
Angie BarbaNHMRC Clinical Trials Centre, University of Sydney, Sydney, New South Wales, Australia.
Robert John SimesNHMRC Clinical Trials Centre, University of Sydney, Sydney, New South Wales, Australia.
Anna Lene SeidlerNHMRC Clinical Trials Centre, University of Sydney, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0002-0027-1623
The University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Data unavailability impedes research transparency and is a major problem for individual participant data (IPD) meta-analyses as it reduces statistical power, increases risk of bias, and may even preclude completion. The primary objectives of this study were to determine IPD sharing plans reported in recently registered clinical trial registration records, how data sharing commitment relates to clinical trial characteristics, and principal investigators' attitudes, motivations and barriers to data sharing. The secondary objective was to derive recommendations to overcome identified barriers to data sharing. This was a retrospective cohort study of all interventional trials registered on the Australian New Zealand Clinical Trials Registry (ANZCTR) from 1 December 2018 to 30 November 2019, and an online cross-sectional survey of their principal investigators. In the cohort study of all clinical trials registered on the ANZCTR in the study period (n = 1517), commitment to share data was low (22%, 329/1517). In the cross-sectional survey (n = 281, 23% response rate), principal investigators showed strong support for the concept of data sharing (77%, 216/281) but a substantially lower intention to actually share data from their clinical trials (40%, 111/281). Major barriers to data sharing included lacking informed consent to share data, protecting participant confidentiality and preventing misinterpretation of data or misleading secondary analyses. There is a gap between high in-principle support for data sharing, and low in-practice intention from investigators to share data from their own clinical trials. Multiple pathways exist to bridge this gap by addressing the identified barriers to data sharing.

Indexed as

AttitudeInformation DisseminationAustraliaClinical Trials as TopicCohort StudiesCross-Sectional StudiesHumansRetrospective Studiesclinical trial registrationdata sharingindividual participant dataresearch ethics

Identifiers

PMID34057290
OpenAlexW3165880742

What Socratic holds

Textmetadata
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 Socratic graph.