Evidence map›Paper›PMID 24874700›Full record

ArticlePloS one2014

Sharing individual participant data from clinical trials: an opinion survey regarding the establishment of a central repository.

Catrin Tudur Smith, Kerry Dwan, Douglas G Altman, Mike Clarke, Richard Riley, Paula R Williamson

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
7.7field-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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Bayesian Multiparameter Evidence Synthesis to Inform Decision Making: A Case Study in Metastatic Hormone-Refractory Prostate Cancer.Medical decision making : an international journal of the Society for Medical Decision Making · 2018
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Best practice for analysis of shared clinical trial data.BMC medical research methodology · 2016
    Article
  14. Article
  15. Article
  16. Taking Bioinformatics to Systems Medicine.Methods in molecular biology (Clifton, N.J.) · 2016
    Review
  17. Review
  18. Article
  19. Article
  20. 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

6 authors at 4 institutions in 2 countries.

Catrin Tudur SmithNorth West Hub for Trials Methodology Research, Department of Biostatistics, University of Liverpool, Liverpool, England.
Kerry DwanNorth West Hub for Trials Methodology Research, Department of Biostatistics, University of Liverpool, Liverpool, England.
Douglas G AltmanCentre for Statistics in Medicine, University of Oxford, Oxford, England.
Mike ClarkeAll-Ireland Hub for Trials Methodology Research, Queen's University, Belfast, Ireland.
Richard RileySchool of Health and Population Sciences, University of Birmingham, Birmingham, England.
Paula R WilliamsonNorth West Hub for Trials Methodology Research, Department of Biostatistics, University of Liverpool, Liverpool, England.
University of Liverpool · GBTrials Methodology Research Network · IEUniversity of Birmingham · GBUniversity of Oxford · GB

Funding

Cancer Research UK 16895Cancer Research UK C5529Medical Research Council G0800792Medical Research Council G0800808Medical Research Council G0901530Medical Research Council MR/K025635/1
6 · The paper itself

Abstract

backgroundCalls have been made for increased access to individual participant data (IPD) from clinical trials, to ensure that complete evidence is available. However, despite the obvious benefits, progress towards this is frustratingly slow. In the meantime, many systematic reviews have already collected IPD from clinical trials. We propose that a central repository for these IPD should be established to ensure that these datasets are safeguarded and made available for use by others, building on the strengths and advantages of the collaborative groups that have been brought together in developing the datasets.

objectiveEvaluate the level of support, and identify major issues, for establishing a central repository of IPD.

designOn-line survey with email reminders.

participants71 reviewers affiliated with the Cochrane Collaboration's IPD Meta-analysis Methods Group were invited to participate.

results30 (42%) invitees responded: 28 (93%) had been involved in an IPD review and 24 (80%) had been involved in a randomised trial. 25 (83%) agreed that a central repository was a good idea and 25 (83%) agreed that they would provide their IPD for central storage. Several benefits of a central repository were noted: safeguarding and standardisation of data, increased efficiency of IPD meta-analyses, knowledge advancement, and facilitating future clinical, and methodological research. The main concerns were gaining permission from trial data owners, uncertainty about the purpose of the repository, potential resource implications, and increased workload for IPD reviewers. Restricted access requiring approval, data security, anonymisation of data, and oversight committees were highlighted as issues under governance of the repository.

conclusionThere is support in this community of IPD reviewers, many of whom are also involved in clinical trials, for storing IPD in a central repository. Results from this survey are informing further work on developing a repository of IPD which is currently underway by our group.

Indexed as

Clinical Trials as TopicDatabases, FactualPatient ParticipationData CollectionHumansInternetSurveys and Questionnaires

Identifiers

PMID24874700
PMCPMC4038514
OpenAlexW2043763793

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.