ArticleAmerican journal of epidemiology2014
Invited commentary: Observational research in the age of the electronic health record.
Article in American journal of epidemiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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
9 citing papers in PubMed.
- Recommended practices and ethical considerations for natural language processing-assisted observational research: A scoping review.Clinical and translational science · 2023Article
- Research and Reporting Considerations for Observational Studies Using Electronic Health Record Data.Annals of internal medicine · 2020Review
- Systematic analyses of drugs and disease indications in RepurposeDB reveal pharmacological, biological and epidemiological factors influencing drug repositioning.Briefings in bioinformatics · 2018Article
- Challenges in adapting existing clinical natural language processing systems to multiple, diverse health care settings.Journal of the American Medical Informatics Association : JAMIA · 2017Article
- Measuring Multimorbidity: A Risky Business.Journal of general internal medicine · 2017Article
- Use of emergency department electronic medical records for automated epidemiological surveillance of suicide attempts: a French pilot study.International journal of methods in psychiatric research · 2017Article
- Translational bioinformatics in the era of real-time biomedical, health care and wellness data streams.Briefings in bioinformatics · 2017Article
- Learning statistical models of phenotypes using noisy labeled training data.Journal of the American Medical Informatics Association : JAMIA · 2016Article
- Carrell et al. respond to "Observational research and the EHR".American journal of epidemiology · 2014Article
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Historically, clinical epidemiologic research has been constrained by the costs and time associated with manually identifying cases and abstracting clinical data. In this issue, Carrell et al. (Am J Epidemiol. 2014;179(6);749-758) report on their impressive success using natural language processing techniques to correctly identify cases of cancer recurrence among women with previous breast cancer. They report a 10-fold decrease in the need for chart abstraction, though with an 8% loss in case detection. This commentary outlines some recent history associated with the development of "high-throughput clinical phenotyping" of electronic health records and speculates on the impact such computational capabilities may have for observational research and patient consent.
Indexed as
Identifiers
24488512What 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.