ArticleTrials2017
Resource implications of preparing individual participant data from a clinical trial to share with external researchers.
Article in Trials, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05466955 (Slashing Two-wheeled Accidents by Leveraging Eyecare), which is not on this map. Cited by 20 papers, 2 of them syntheses that pooled it.
What it found
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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.
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.
Slashing Two-wheeled Accidents by Leveraging Eyecare: a Stepped-wedge Cluster Randomised Controlled Trial to Assess Impact of Spectacles on Reducing Crash and Near-crash Events Among Myopic Motorcycle Drivers in Ho Chi Minh City Vietnam
Who cites it
20 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- An Introduction to Individual Participant Data Meta-analysis.Neurology · 2023Pooled it
- Individual participant data meta-analysis versus aggregate data meta-analysis: A case study in eczema and food allergy prevention.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2022Pooled it
- Data reuse in global health: perspectives from actors in policy, funding and research.BMJ global health · 2026Article
- Review
- Article
- A survey on UK researchers' views regarding their experiences with the de-identification, anonymisation, release methods and re-identification risk estimation for clinical trial datasets.Clinical trials (London, England) · 2025Article
- Robust Automated Harmonization of Heterogeneous Data Through Ensemble Machine Learning: Algorithm Development and Validation Study.JMIR medical informatics · 2025Article
- Large language models generating synthetic clinical datasets: a feasibility and comparative analysis with real-world perioperative data.Frontiers in artificial intelligence · 2025Article
- Article
- Article
- Article
- Current recommendations/practices for anonymising data from clinical trials in order to make it available for sharing: A scoping review.Clinical trials (London, England) · 2022Article
- Practical Considerations and Challenges When Conducting an Individual Participant Data (IPD) Meta-Analysis.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Status, use and impact of sharing individual participant data from clinical trials: a scoping review.BMJ open · 2021Article
- PRIME-IPD SERIES Part 1. The PRIME-IPD tool promoted verification and standardization of study datasets retrieved for IPD meta-analysis.Journal of clinical epidemiology · 2021Article
- Evaluation of Data Sharing After Implementation of the International Committee of Medical Journal Editors Data Sharing Statement Requirement.JAMA network open · 2021Article
- Funders' data-sharing policies in therapeutic research: A survey of commercial and non-commercial funders.PloS one · 2020Article
- Article
- Sharing and reuse of individual participant data from clinical trials: principles and recommendations.BMJ open · 2017Article
- Compliance with International Committee of Medical Journal Editors policy on individual participant data sharing in clinical trial registries: An audit.Perspectives in clinical researchArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDemands are increasingly being made for clinical trialists to actively share individual participant data (IPD) collected from clinical trials using responsible methods that protect the confidentiality and privacy of clinical trial participants. Clinical trialists, particularly those receiving public funding, are often concerned about the additional time and money that data-sharing activities will require, but few published empirical data are available to help inform these decisions. We sought to evaluate the activity and resources required to prepare anonymised IPD from a clinical trial in anticipation of a future data-sharing request.
methodsData from two UK publicly funded clinical trials were used for this exercise: 2437 participants with epilepsy recruited from 90 hospital outpatient clinics in the SANAD trial and 146 children with neuro-developmental problems recruited from 18 hospitals in the MENDS trial. We calculated the time and resources required to prepare each anonymised dataset and assemble a data pack ready for sharing.
resultsThe older SANAD trial (published 2007) required 50 hours of staff time with a total estimated associated cost of £3185 whilst the more recently completed MENDS trial (published 2012) required 39.5 hours of staff time with total estimated associated cost of £2540.
conclusionsClinical trial researchers, funders and sponsors should consider appropriate resourcing and allow reasonable time for preparing IPD ready for subsequent sharing. This process would be most efficient if prospectively built into the standard operational design and conduct of a clinical trial. Further empirical examples exploring the resource requirements in other settings is recommended.
trial registrationSANAD: International Standard Randomised Controlled Trials Registry: ISRCTN38354748 . Registered on 25 April 2003. MENDS: EU Clinical Trials Register Eudract 2006-004025-28 . Registered on 16 May 2007. International Standard Randomised Controlled Trials Registry: ISRCTN05534585 /MREC 07/MRE08/43. Registered on 26 January 2007.
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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.