ReviewGenome medicine2016
Reconciling evidence-based medicine and precision medicine in the era of big data: challenges and opportunities.
Review in Genome medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 104 papers, 2 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
104 citing papers in PubMed, 2 syntheses or guidelines pooled it, 260 citations in OpenAlex.
- Artificial intelligence in polycystic ovarian syndrome management: past, present, and future.La Radiologia medica · 2025Pooled it
- Wearable systems for shoulder kinematics assessment: a systematic review.BMC musculoskeletal disorders · 2019Pooled it
- Review
- Sorting out and navigating uncertainty in precision medicine.History and philosophy of the life sciences · 2026Article
- Towards functional precision medicine? Evidence standards of organoids as patient-specific models.History and philosophy of the life sciences · 2026Article
- Leveraging training expertise to build capacity in computational personalised medicine.Bioinformatics advances · 2026Article
- Precision Medicine for Obesity Treatment.Journal of the Endocrine Society · 2025Review
- Towards a personalized happiness approach to capturing change in satisfaction.Nature human behaviour · 2025Article
- New horizons at the interface of artificial intelligence and translational cancer research.Cancer cell · 2025Review
- Big data for neuroscience in the context of predictive, preventive, and personalized medicine.The EPMA journal · 2025Review
- Seeing the random forest through the decision trees. Supporting learning health systems from histopathology with machine learning models: Challenges and opportunities.Journal of pathology informatics · 2024Review
- Revolutionizing Personalized Medicine: Synergy with Multi-Omics Data Generation, Main Hurdles, and Future Perspectives.Biomedicines · 2024Review
- The Difficulty Implementing Evidence-Based Practice in the Perioperative Setting.Anesthesia and analgesia · 2024Article
- Evaluation of Spin in Abstracts of Randomized Controlled Trials Published in Pediatric Dentistry Journals.International journal of clinical pediatric dentistry · 2024Review
- Computational simulation of the potential improvement in clinical outcomes of cardiovascular diseases with the use of a personalized predictive medicine approach.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- Review
- Precision medicine within health professions education: Defining a research agenda for emergency medicine using a foresight and strategy technique (FaST) review.AEM education and training · 2024Article
- Phenotyping Down syndrome: discovery and predictive modelling with electronic medical records.Journal of intellectual disability research : JIDR · 2024Article
- Diagnosing an overcrowded emergency department from its Electronic Health Records.Scientific reports · 2024Article
- Machine learning models with time-series clinical features to predict radiographic progression in patients with ankylosing spondylitis.Journal of rheumatic diseases · 2024Article
44 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This era of groundbreaking scientific developments in high-resolution, high-throughput technologies is allowing the cost-effective collection and analysis of huge, disparate datasets on individual health. Proper data mining and translation of the vast datasets into clinically actionable knowledge will require the application of clinical bioinformatics. These developments have triggered multiple national initiatives in precision medicine-a data-driven approach centering on the individual. However, clinical implementation of precision medicine poses numerous challenges. Foremost, precision medicine needs to be contrasted with the powerful and widely used practice of evidence-based medicine, which is informed by meta-analyses or group-centered studies from which mean recommendations are derived. This "one size fits all" approach can provide inadequate solutions for outliers. Such outliers, which are far from an oddity as all of us fall into this category for some traits, can be better managed using precision medicine. Here, we argue that it is necessary and possible to bridge between precision medicine and evidence-based medicine. This will require worldwide and responsible data sharing, as well as regularly updated training programs. We also discuss the challenges and opportunities for achieving clinical utility in precision medicine. We project that, through collection, analyses and sharing of standardized medically relevant data globally, evidence-based precision medicine will shift progressively from therapy to prevention, thus leading eventually to improved, clinician-to-patient communication, citizen-centered healthcare and sustained well-being.
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.