ArticleArthritis care & research2010
Electronic medical records for discovery research in rheumatoid arthritis.
Article in Arthritis care & research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 215 papers, 5 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
215 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- Accuracy of Diagnostic Codes and Algorithms Used to Identify Rheumatoid Arthritis and Juvenile Idiopathic Arthritis in Administrative Claims and Electronic Health Records: Systematic Review and Meta-Analysis.Arthritis care & research · 2026Pooled it
- Sepsis prediction, early detection, and identification using clinical text for machine learning: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2022Pooled it
- ATLAS: an automated association test using probabilistically linked health records with application to genetic studies.Journal of the American Medical Informatics Association : JAMIA · 2021Pooled it
- Extracting information from the text of electronic medical records to improve case detection: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2016Pooled it
- Meta-analysis of shared genetic architecture across ten pediatric autoimmune diseases.Nature medicine · 2015Pooled it
- Improving case definition of Crohn's disease and ulcerative colitis in electronic medical records using natural language processing: a novel informatics approach.Inflammatory bowel diseases · 2013Trial
- Patterns and associated risk of perioperative use of anti-tumor necrosis factor in patients with rheumatoid arthritis undergoing total knee replacement.The Journal of rheumatology · 2013Trial
- Trial
- Variability in the Preoperative Rheumatoid Arthritis Medication Management in Hand Surgery.Journal of hand surgery global online · 2027Article
- Association of Clonal Hematopoiesis With Incident, Late-Onset, Seropositive Rheumatoid Arthritis.Arthritis & rheumatology (Hoboken, N.J.) · 2026Article
- Large language model-based extraction of rheumatoid arthritis clinical disease activity index from clinical notes.JAMIA open · 2026Article
- Natural language processing to enhance rheumatoid arthritis care in clinical studies: a scoping review of applications, data, approaches, challenges and future directions.Rheumatology international · 2026Article
- Assessing the real-world impact of interstitial lung disease in patients with rheumatoid arthritis on healthcare resources and treatment patterns through natural language processing.EULAR rheumatology open · 2026Article
- Article
- Identifying the strongest novel gene-respiratory disease interactions for rheumatoid arthritis risk.Seminars in arthritis and rheumatism · 2026Article
- Improving classification of myocardial infarction with machine learning in a diverse population.American journal of epidemiology · 2026Article
- Leveraging natural language processing and machine learning to identify chronic conditions from primary care electronic medical records.Scientific reports · 2026Article
- Leveraging Hybrid Natural Language Processing Techniques for Large-Scale Pulmonary Embolism Identification.JACC. Advances · 2025Article
- Use of a Novel Natural Language Processing Utility to Extract Structured Data From Free-Text Medical Notes.Cureus · 2025Article
- Risk of total and cause-specific mortality in patients with rheumatoid arthritis-associated interstitial lung disease or bronchiectasis.Rheumatology (Oxford, England) · 2025Article
155 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
12 authors.
Funding
Abstract
objectiveElectronic medical records (EMRs) are a rich data source for discovery research but are underutilized due to the difficulty of extracting highly accurate clinical data. We assessed whether a classification algorithm incorporating narrative EMR data (typed physician notes) more accurately classifies subjects with rheumatoid arthritis (RA) compared with an algorithm using codified EMR data alone.
methodsSubjects with > or =1 International Classification of Diseases, Ninth Revision RA code (714.xx) or who had anti-cyclic citrullinated peptide (anti-CCP) checked in the EMR of 2 large academic centers were included in an "RA Mart" (n = 29,432). For all 29,432 subjects, we extracted narrative (using natural language processing) and codified RA clinical information. In a training set of 96 RA and 404 non-RA cases from the RA Mart classified by medical record review, we used narrative and codified data to develop classification algorithms using logistic regression. These algorithms were applied to the entire RA Mart. We calculated and compared the positive predictive value (PPV) of these algorithms by reviewing the records of an additional 400 subjects classified as having RA by the algorithms.
resultsA complete algorithm (narrative and codified data) classified RA subjects with a significantly higher PPV of 94% than an algorithm with codified data alone (PPV of 88%). Characteristics of the RA cohort identified by the complete algorithm were comparable to existing RA cohorts (80% women, 63% anti-CCP positive, and 59% positive for erosions).
conclusionWe demonstrate the ability to utilize complete EMR data to define an RA cohort with a PPV of 94%, which was superior to an algorithm using codified data alone.
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.