SynthesisBMC medicine2015
Opening clinical trial data: are the voluntary data-sharing portals enough?
Synthesis in BMC medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 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
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Exploring changes over time and characteristics associated with data retrieval across individual participant data meta-analyses: systematic review.BMJ (Clinical research ed.) · 2017Pooled it
- Article
- Molecular classification of geriatric breast cancer displays distinct senescent subgroups of prognostic significance.Molecular therapy. Nucleic acids · 2024Article
- Evaluating the Utility and Privacy of Synthetic Breast Cancer Clinical Trial Data Sets.JCO clinical cancer informatics · 2023Article
- A method for generating synthetic longitudinal health data.BMC medical research methodology · 2023Article
- Implementation of platform trials in the COVID-19 pandemic: A rapid review.Contemporary clinical trials · 2022Review
- Status, use and impact of sharing individual participant data from clinical trials: a scoping review.BMJ open · 2021Article
- Development and Validation of a Prediction Model for Elevated Arterial Stiffness in Chinese Patients With Diabetes Using Machine Learning.Frontiers in physiology · 2021Article
- Opportunities and Challenges in Democratizing Immunology Datasets.Frontiers in immunology · 2021Review
- Obtaining and managing data sets for individual participant data meta-analysis: scoping review and practical guide.BMC medical research methodology · 2020Article
- Leveraging Big Data to Transform Drug Discovery.Methods in molecular biology (Clifton, N.J.) · 2019Article
- Data sharing from pharmaceutical industry sponsored clinical studies: audit of data availability.BMC medicine · 2018Article
- Clinical prediction of HBV and HCV related hepatic fibrosis using machine learning.EBioMedicine · 2018Article
- Meta-analysis of randomized clinical trials in the era of individual patient data sharing.International journal of clinical oncology · 2018Article
- FHIRChain: Applying Blockchain to Securely and Scalably Share Clinical Data.Computational and structural biotechnology journal · 2018Article
- Data sharing: A new editorial initiative of the International Committee of Medical Journal Editors. Implications for the editors' network.The Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology · 2017Article
- Data sharing: A new editorial initiative of the International Committee of Medical Journal Editors : Implications for the Editors' Network.Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation · 2017Article
- Data Sharing: A New Editorial Initiative of the International Committee of Medical Journal Editors. Implications for the Editors' Network.Acta Cardiologica Sinica · 2017Article
- Data Sharing: A New Editorial Initiative of the International Committee of Medical Journal Editors. Implications for the Editors´ Network.Arquivos brasileiros de cardiologia · 2017Article
- Data Sharing: a New Editorial Initiative from the International Committee of Medical Journal Editors. Implications for the Editors' Network.Korean circulation journal · 2017Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Data generated by the numerous clinical trials conducted annually worldwide have the potential to be extremely beneficial to the scientific and patient communities. This potential is well recognized and efforts are being made to encourage the release of raw patient-level data from these trials to the public. The issue of sharing clinical trial data has recently gained attention, with many agreeing that this type of data should be made available for research in a timely manner. The availability of clinical trial data is most important for study reproducibility, meta-analyses, and improvement of study design. There is much discussion in the community over key data sharing issues, including the risks this practice holds. However, one aspect that remains to be adequately addressed is that of the accessibility, quality, and usability of the data being shared. Herein, experiences with the two current major platforms used to store and disseminate clinical trial data are described, discussing the issues encountered and suggesting possible solutions.
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.