Evidence map›Paper›PMID 39629536›Full record

ArticleMovement disorders : official journal of the Movement Disorder Society2025

Validation of Parkinson's Disease Ascertainment in the Veterans Administration Electronic Medical Record.

Samuel M Goldman, Frances M Weaver, Lishan Cao, Beverly Gonzalez, Kevin T Stroupe, Kalea Colletta, Shamil Jugnundan, Ethan G Brown, Caroline M Tanner

Abstract readValidation Study
In one paragraph

Article in Movement disorders : official journal of the Movement Disorder Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Revisiting the Association Between Calcium Channel Blockers and Parkinson's Disease in the E3N Cohort.Movement disorders : official journal of the Movement Disorder Society · 2026
    Article
  3. Small Strokes, Big Impact: Excessive Mortality After Acute Ischemic Stroke in Parkinson's Disease.Movement disorders : official journal of the Movement Disorder Society · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Lewy body dementia promotion by air pollutants.Science (New York, N.Y.) · 2025
    Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Samuel M GoldmanDivision of Occupational, Environmental, and Climate Medicine, Department of Medicine, University of California San Francisco, San Francisco, California, USA.ORCID 0000-0002-3039-9927
Frances M WeaverHines Veterans Affairs Hospital, Center of Innovation for Complex Chronic Healthcare, Hines, Illinois, USA.
Lishan CaoHines Veterans Affairs Hospital, Center of Innovation for Complex Chronic Healthcare, Hines, Illinois, USA.
Beverly GonzalezGeriatrics and Extended Care Data Analysis Center, Canandaigua VA Medical Center, Canandaigua, New York, USA.
Kevin T StroupeHines Veterans Affairs Hospital, Center of Innovation for Complex Chronic Healthcare, Hines, Illinois, USA.
Kalea CollettaHines Veterans Affairs Hospital, Center of Innovation for Complex Chronic Healthcare, Hines, Illinois, USA.
Shamil JugnundanDivision of Occupational, Environmental, and Climate Medicine, Department of Medicine, University of California San Francisco, San Francisco, California, USA.
Ethan G BrownSan Francisco Veterans Affairs Health Care System, San Francisco, California, USA.ORCID 0000-0001-9744-8562
Caroline M TannerSan Francisco Veterans Affairs Health Care System, San Francisco, California, USA.

Funding

CSRD VA I01 CX002040HRSA HHSMichael J. Fox FoundationNIH HHSthe Department of DefenseU.S. Department of Veterans Affairs I01 CX002040-01
6 · The paper itself

Abstract

backgroundElectronic medical record (EMR)-based studies hold great potential for epidemiologic investigations of Parkinson's disease (PD) causal factors and phenomenology, but diagnostic misclassification may obscure or bias inferences.

objectivesThe aims were to determine the validity of PD diagnostic codes in the Veterans Administration (VA) national electronic medical databases and develop recommendations for maximizing ascertainment accuracy.

methodsWe investigated a cohort of 146,776 veterans who utilized VA healthcare between 1999 and 2021. We reviewed the medical records of individuals with a PD International Classification of Diseases (ICD) code in outpatient, inpatient, or community care encounters to assign a gold-standard diagnosis. We determined diagnostic accuracy based on provider type, coding frequency, medications, and potentially exclusionary ICD codes overall and by race.

resultsA total of 377 of 810 (46.5%) with a PD ICD code had PD. Veterans whose PD was coded by a PD-specialist neurologist were most likely to have PD (83.6%), but sensitivity was low (15.0%). Diagnostic accuracy decreased for PD coded by any neurologist (66.9%), but sensitivity improved (69.4%). Requiring two or more PD codes in combination with two or more levodopa prescriptions improved accuracy, particularly among nonneurologists. Neuroleptic-induced parkinsonism was the most frequent diagnosis in those without PD (15.6%). Accuracy was lower in Black (29.0%) than White (50.5%) veterans regardless of provider type (miscoding odds ratio 2.5, 95% confidence interval 1.7-3.6).

conclusionsThese results highlight the limitations of EMR-based PD ascertainment. Researchers can maximize accuracy by considering provider specialty, coding frequency, pharmacy data, and exclusionary diagnoses, but some degree of record review is required to ensure high accuracy. Higher miscoding among Black veterans warrants further study. © 2024 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.

Indexed as

Electronic Health RecordsParkinson DiseaseAgedFemaleHumansInternational Classification of DiseasesMaleMiddle AgedUnited StatesUnited States Department of Veterans AffairsVeteransascertainmentdiagnostic validationelectronic medical recordParkinson's disease

Identifiers

PMID39629536
PMCPMC11832812

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Registered trials

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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.