ArticleClinical and translational science2025
With big data comes big responsibility: Strategies for utilizing aggregated, standardized, de-identified electronic health record data for research.
Article in Clinical and translational science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
26 citing papers in PubMed.
- Choosing real-world data for clinical and epidemiological research: methodological lessons from NHIRD and TriNetX-A narrative review.Annals of medicine · 2026Review
- Comorbidity Associations with Ocular Pain after Cataract Surgery: Overall and Sex-Stratified Analysis.AJO international · 2026Article
- TriNetX LATAM Collaborative Network, an EHR Data Source in Latin America.Pharmacoepidemiology and drug safety · 2026Article
- A Secure, Scalable Large Language Model-Based System (CIDER) for High-Throughput Clinical Data Extraction From Medical Reports: Retrospective Validation Study.Journal of medical Internet research · 2026Article
- AI-based CT quantification reveals small airway loss and vascular simplification in rheumatoid arthritis-associated lung disease.Clinical rheumatology · 2026Article
- Finerenone exposure and ischaemic stroke in patients with type 2 diabetes and chronic kidney disease: A propensity score-matched cohort study.Clinical medicine (London, England) · 2026Article
- Comparative Outcomes of GLP-1 Therapy vs. Bariatric Surgery in Patients with Cirrhosis.Obesity surgery · 2026Article
- Annual gout flare frequency as a marker of sustained cardiovascular risk: a clinical threshold for risk stratification.Rheumatology (Oxford, England) · 2026Article
- Rapid Eye Movement Sleep Suppressing Antidepressant Prescription is Associated with Improved Survival in Amyotrophic Lateral Sclerosis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026Article
- Obstructive sleep apnea is associated with a higher 28-day incidence of venous thromboembolism and stroke after total hip arthroplasty.Sleep & breathing = Schlaf & Atmung · 2026Article
- Balancing generalizability and internal validity in pediatric TriNetX cohort design.Pediatric nephrology (Berlin, Germany) · 2026Article
- Real-World Clinical Datasets in Practice: Applications for Learners, Clinician-Educators, and Health Services Teams.Clinical and translational science · 2026Review
- AI in Clinical Decision Support Systems: Promising Applications and Strategies for Managing Data Challenges.Journal of medical Internet research · 2026Article
- Glucagon-like peptide-1 receptor agonists are associated with reduced abdominal aortic aneurysm-related events.Journal of vascular surgery · 2026Article
- Maternal safety outcomes of respiratory syncytial vaccination during pregnancy with a large-scale database.NPJ vaccines · 2026Article
- Advancing Real-World Evidence Generation: Growth and Lessons Learned from the Early Years of Cosmos.ACI open · 2026Review
- Increased Incidence of Hamstring Injuries in the United States From 2015 to 2024 and Projected Growth Through 2030.Arthroscopy, sports medicine, and rehabilitation · 2025Article
- Use of Ursodeoxycholic Acid and Cancer Risk for Patients With Primary Biliary Cholangitis.JAMA network open · 2025Article
- One Step Closer to Conversational Medical Records: ChatGPT Parses Psoriasis Treatments from EMRs.Journal of clinical medicine · 2025Article
- Are Aggregated Electronic Health Record Datasets Good for Research?Journal of general internal medicine · 2025Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Electronic health records (EHRs), though they are maintained and utilized for clinical and billing purposes, may provide a wealth of information for research. Currently, sources are available that offer insight into the health histories of well over a quarter of a billion people. Their use, however, is fraught with hazards, including introduction or reinforcement of biases, clarity of disease definitions, protection of patient privacy, definitions of covariates or confounders, accuracy of medication usage compared with prescriptions, the need to introduce other data sources such as vaccination or death records and the ensuing potential for inaccuracy, duplicative records, and understanding and interpreting the outcomes of data queries. On the other hand, the possibility of study of rare disorders or the ability to link apparently disparate events are extremely valuable. Strategies for avoiding the worst pitfalls and hewing to conservative interpretations are essential. This article summarizes many of the approaches that have been used to avoid the most common pitfalls and extract the maximum information from aggregated, standardized, and de-identified EHR data. This article describes 26 topics broken into three major areas: (1) 14 topics related to design issues for observational study using EHR data, (2) 7 topics related to analysis issues when analyzing EHR data, and (3) 5 topics related to reporting studies using EHR data.
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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.