ArticleGenome medicine2016
Making sense of big data in health research: Towards an EU action plan.
Article in Genome medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT05095662 (Establish a Specific Cohort Database for Depressive Disorders), which is not on this map. Cited by 96 papers, 3 of them syntheses 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.
Establish a Specific Cohort Database for Depressive Disorders
Who cites it
96 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Machine Learning in HIV Care and Antiretroviral Therapy: Systematic Review.Journal of medical Internet research · 2026Pooled it
- Responsible data sharing in international health research: a systematic review of principles and norms.BMC medical ethics · 2019Pooled it
- Factors influencing harmonized health data collection, sharing and linkage in Denmark and Switzerland: A systematic review.PloS one · 2019Pooled it
- Enhancing cause of death prediction: development and validation of machine learning models using multimodal data across multiple health-care sites.JAMIA open · 2026Article
- Inflammation and Immune Dysregulation Across Respiratory Diseases: From Cellular Mechanisms to Therapeutic Targets.Journal of inflammation research · 2026Review
- Personalized federated learning for predicting disability progression in multiple sclerosis using real-world routine clinical data.NPJ digital medicine · 2025Article
- Benefits and risks of health data reuse for healthcare providers: stakeholder perspectives from a qualitative interview study.BMC health services research · 2025Article
- Realizing the promise of machine learning in precision oncology: expert perspectives on opportunities and challenges.BMC cancer · 2025Article
- Participant Contributions to Person-Generated Health Data Research Using Mobile Devices: Scoping Review.Journal of medical Internet research · 2025Article
- Digital remote monitoring of people with multiple sclerosis.Frontiers in immunology · 2025Review
- A Generic Transformation Approach for Complex Laboratory Data Using the Fast Healthcare Interoperability Resources Mapping Language: Method Development and Implementation.JMIR medical informatics · 2024Article
- A Sustainable Model for Healthcare Systems: The Innovative Approach of ESG and Digital Transformation.Healthcare (Basel, Switzerland) · 2024Article
- A machine learning model to predict heart failure readmission: toward optimal feature set.Frontiers in artificial intelligence · 2024Article
- Democratizing Artificial Intelligence Imaging Analysis With Automated Machine Learning: Tutorial.Journal of medical Internet research · 2023Article
- Omics and Multi-Omics in IBD: No Integration, No Breakthroughs.International journal of molecular sciences · 2023Review
- Design and Implementation of a Collaborative Clinical Practice and Research Documentation System Using SNOMED-CT and HL7-CDA in the Context of a Pediatric Neurodevelopmental Unit.Healthcare (Basel, Switzerland) · 2023Article
- Stage III Non-Small-Cell Lung Cancer: An Overview of Treatment Options.Current oncology (Toronto, Ont.) · 2023Review
- Toward a global harmonization of service infrastructure in academic clinical trial units: an international survey.Frontiers in medicine · 2023Article
- Paucity of Health Data in Africa: An Obstacle to Digital Health Implementation and Evidence-Based Practice.Public health reviews · 2023Article
- Real World-Big Data Analytics in Healthcare.International journal of environmental research and public health · 2022Article
36 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
57 authors.
Funding
Abstract
Medicine and healthcare are undergoing profound changes. Whole-genome sequencing and high-resolution imaging technologies are key drivers of this rapid and crucial transformation. Technological innovation combined with automation and miniaturization has triggered an explosion in data production that will soon reach exabyte proportions. How are we going to deal with this exponential increase in data production? The potential of "big data" for improving health is enormous but, at the same time, we face a wide range of challenges to overcome urgently. Europe is very proud of its cultural diversity; however, exploitation of the data made available through advances in genomic medicine, imaging, and a wide range of mobile health applications or connected devices is hampered by numerous historical, technical, legal, and political barriers. European health systems and databases are diverse and fragmented. There is a lack of harmonization of data formats, processing, analysis, and data transfer, which leads to incompatibilities and lost opportunities. Legal frameworks for data sharing are evolving. Clinicians, researchers, and citizens need improved methods, tools, and training to generate, analyze, and query data effectively. Addressing these barriers will contribute to creating the European Single Market for health, which will improve health and healthcare for all Europeans.
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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.