ReviewClinical and translational science2020
Open Data Revolution in Clinical Research: Opportunities and Challenges.
Review in Clinical and translational science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prevalence and predictors of data and code sharing in the medical and health sciences: systematic review with meta-analysis of individual participant data.BMJ (Clinical research ed.) · 2023Pooled it
- Bridging Research, Policy, and Practice: Advancing Evidence-Informed Approaches for Dementia Care and Prevention: an expert review by the Health Policy Professional Interest Area from ISTAART.Alzheimer's & dementia. Behavior & socioeconomics of aging · 2026Article
- Assessing the Evolution and Influence of Medical Open Databases on Biomedical Research and Health Care Innovation: A 25-Year Perspective With a Focus on Privacy and Privacy-Enhancing Technologies.Journal of medical Internet research · 2026Article
- Biomarkers for predicting immunotherapy response and resistance in glioblastoma.Frontiers in immunology · 2026Review
- Artificial Intelligence in Clinical and Translational Science: From Bench Insights to Bedside Impact.Clinical and translational science · 2025Article
- Ask, and it shall be given you - individual patient data and code availability for randomised controlled trials submitted for publication.Anaesthesia · 2025Article
- Influence of cytokines on the recovery trajectory of HIV patients on antiretroviral therapy: A review.Medicine · 2025Review
- Sharing Data and Transferring Samples Within Pediatric Clinical Studies: How to Overcome Challenges and Make Them a Science Opportunity.Healthcare (Basel, Switzerland) · 2024Article
- Indicators of transparency and data sharing in scientific writing in published randomized controlled trials in orthodontic journals between 2019 and 2023: an empirical study.European journal of orthodontics · 2024Article
- Disease progression joint model predicts time to type 1 diabetes onset: Optimizing future type 1 diabetes prevention studies.CPT: pharmacometrics & systems pharmacology · 2023Article
- Systematic reviewers' perspectives on sharing review data, analytic code, and other materials: A survey.Cochrane evidence synthesis and methods · 2023Article
- Establishment of a Chinese critical care database from electronic healthcare records in a tertiary care medical center.Scientific data · 2023Article
- Influence of Subject-Specific Effects in Longitudinal Modelling of Cognitive Decline in Alzheimer's Disease.Journal of Alzheimer's disease : JAD · 2022Article
- The importance of adherence to international standards for depositing open data in public repositories.BMC research notes · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Efforts for sharing individual clinical data are gaining momentum due to a heightened recognition that integrated data sets can catalyze biomedical discoveries and drug development. Among the benefits are the fact that data sharing can help generate and investigate new research hypothesis beyond those explored in the original study. Despite several accomplishments establishing public systems and guidance for data sharing in clinical trials, this practice is not the norm. Among the reasons are ethical challenges, such as privacy of individuals, data ownership, and control. This paper creates awareness of the potential benefits and challenges of sharing individual clinical data, how to overcome these challenges, and how as a clinical pharmacology community we can shape future directions in this field.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.