ArticleMovement disorders clinical practice
Utility of electronic medical record for recruitment in clinical research: from rare to common disease.
Article in Movement disorders clinical practice. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses 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
8 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Case Definitions and Data Sources for NNCSS Parkinson Disease Surveillance: A Systematic Review.JAMA network open · 2026Pooled it
- Identifying Parkinson's disease and parkinsonism cases using routinely collected healthcare data: A systematic review.PloS one · 2019Pooled it
- Evaluating an online-delivered resistance exercise intervention for racially diverse breast cancer survivors using the RE-AIM framework.Translational behavioral medicine · 2026Trial
- Use of comprehensive recruitment strategies in the glycemia reduction approaches in diabetes: A comparative effectiveness study (GRADE) multi-center clinical trial.Clinical trials (London, England) · 2023 · on this mapTrial
- Validation of Parkinson's Disease Ascertainment in the Veterans Administration Electronic Medical Record.Movement disorders : official journal of the Movement Disorder Society · 2025Article
- Addressing Statistical Power and Increasing Diversity in Hospice Research: Electronic Medical Record Participant Identification Compared to Nurse Referral Approaches to Recruitment.Journal of pain and symptom management · 2024Article
- Using electronic health records to streamline provider recruitment for implementation science studies.PloS one · 2022Article
- An initiative using informatics to facilitate clinical research planning and recruitment in the VA health care system.Contemporary clinical trials communications · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
backgroundRecruitment for clinical trials is a major challenge. Movement disorders, which do not have associated diagnostic laboratory tests, may be especially prone to inaccuracy in coding. Our objective was to evaluate the accuracy of diagnostic codes such as cervical dystonia (CD) and PD in an electronic medical record.
methodsRetrospective chart review was performed to confirm the ICD-9 diagnoses of PD, CD and diabetes mellitus type 2 (DM-2), using published clinical diagnostic criteria (PD, CD) and hemoglobin A1c ≥ 6.5 (DM-2).
results421 charts (n=129, n=142, n=150 for PD, CD and DM-2, respectively) were reviewed. The accuracy rate was different between all diseases examined with an overall p<0.001. In post hoc pairwise comparisons, the accuracy of DM-2 diagnosis by ICD-9 (96.6%) was greater than CD (88.0%) and both greater than PD (55.0%) (p≤0.003).
conclusionsUsing an electronic medical record based screening of clinically diagnosed diseases such as CD may be more accurate than previously thought and may identify potential clinical trial participants even without confirmatory lab tests available.
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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.