ArticleCurrent epidemiology reports2018
Measurement error and misclassification in electronic medical records: methods to mitigate bias.
Article in Current epidemiology reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.
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
38 citing papers in PubMed, 1 synthesis or guideline pooled it.
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- Long COVID longitudinal symptoms burden clusters within a national community-based cohort.BMC infectious diseases · 2026Article
- Integrating AI Into Governmental Public Health Decision Making: Challenges, Considerations, and a Path Forward.JMIR public health and surveillance · 2026Article
- An operational target trial emulation framework for causal inference using electronic health record data.NPJ digital medicine · 2026Review
- A Latent Variable Approach for Causal Effect Estimation Under Misclassified Treatment Assignment.Statistics in medicine · 2026Article
- Auditable large language model curation of clinical notes refines glucagon-like peptide-1 initiation, persistence ascertainment, and compounding use beyond prescription records.Biology methods & protocols · 2026Article
- Validity of Using Prescription Medications to Classify Disease - A Retrospective Observational Study Using Routinely Collected Electronic Health Records from the UK.Pragmatic and observational research · 2026Article
- Unmeasured confounding and misclassification in studies estimating vaccine effectiveness against hospitalisation and death using electronic health records (EHRs): an evaluation of a multi-country European retrospective cohort study.BMC medical research methodology · 2025Article
- An Augmented Likelihood Approach Incorporating Error-Prone Auxiliary Data Into a Survival Analysis.Statistics in medicine · 2025Article
- Chronic Disease Monitoring: Methodology for Classification Error and Self-Selection Bias Correction in Clinical Laboratory Data.Healthcare (Basel, Switzerland) · 2025Article
- Long COVID Longitudinal Symptoms Burden Clusters Within A National Community-Based Cohort.medRxiv : the preprint server for health sciences · 2025Article
- Association Between Long-Term Testosterone Exposure and Major Adverse Cardiovascular Events in Aging Men.Journal of the Endocrine Society · 2025Article
- Demystifying Clone-Censor-Weighting to Studying Treatment Initiation Windows: An Example Using Publicly Available Synthetic Medicare Claims Data.Pharmacoepidemiology and drug safety · 2025Article
- Modern sources of controls in case-control studies.American journal of epidemiology · 2025Article
- Evaluation of the impact of defining observable time in real-world data on outcome incidence.Journal of the American Medical Informatics Association : JAMIA · 2025Article
- Leveraging undecided cases in chart-reviewed phenotypes to enhance EHR-based association studies.Journal of biomedical informatics · 2025Article
- The association between allostatic load and lymphedema in breast cancer survivors.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025Article
- Linking Electronic Health Record Prescribing Data and Pharmacy Dispensing Records to Identify Patient-Level Factors Associated With Psychotropic Medication Receipt: Retrospective Study.JMIR medical informatics · 2025Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
purpose of reviewWe sought to: 1) examine common sources of measurement error in research using data from electronic medical records (EMR), 2) discuss methods to assess the extent and type of measurement error, and 3) describe recent developments in methods to address this source of bias. RECENT
findingsWe identified eight sources of measurement error frequently encountered in EMR studies, the most prominent being that EMR data usually reflect only the health services and medications delivered within the specific health facility/system contributing to the EMR data. Methods for assessing measurement error in EMR data usually require gold standard or validation data, which may be possible using data linkage. Recent methodological developments to address the impact of measurement error in EMR analyses were particularly rich in the multiple imputation literature. SUMMARY: Presently, sources of measurement error impacting EMR studies are still being elucidated, as are methods for assessing and addressing them. Given the magnitude of measurement error that has been reported, investigators are urged to carefully evaluate and rigorously address this potential source of bias in studies based in EMR data.
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