Evidence map›Paper›PMID 34164614›Full record

ArticleClinical parkinsonism & related disorders2020

Identifying incident Parkinson's disease using administrative diagnostic codes: a validation study.

Brett J Peterson, Walter A Rocca, James H Bower, Rodolfo Savica, Michelle M Mielke

Open access · goldAbstract read
In one paragraph

Article in Clinical parkinsonism & related disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 18% of its field
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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  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. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Incidence, prevalence and mortality of Parkinson's disease in Greece.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Article
  9. Article
  10. Article
  11. Validation of Parkinson's Disease Ascertainment in the Veterans Administration Electronic Medical Record.Movement disorders : official journal of the Movement Disorder Society · 2025
    Article
  12. The epidemiology of Parkinson's disease.Lancet (London, England) · 2024
    Review
  13. Lifelong Association of Disorders Related to Military Trauma with Subsequent Parkinson's Disease.Movement disorders : official journal of the Movement Disorder Society · 2023
    Article
  14. Review
  15. Article
  16. Article
  17. 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

5 authors at 2 institutions in 1 country.

Brett J PetersonDivision of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
Walter A RoccaDivision of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
James H BowerDepartment of Neurology, Mayo Clinic, Rochester, MN, USA.
Rodolfo SavicaDivision of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
Michelle M MielkeDivision of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
Mayo Clinic in Florida · USMayo Clinic in Arizona · US

Funding

Rochester Epidemiology ProjectR01AG034676 · NIA · MAYO CLINIC ROCHESTER · PI ROCCA, WALTER A, ST SAUVER, JENNIFER LYNN · 2010 to 2019
$9.5M
Multiple Chronic Conditions and AgingR01AG052425 · NIA · MAYO CLINIC ROCHESTER · PI ROCCA, WALTER A, ST SAUVER, JENNIFER LYNN · 2017 to 2021
$3.3M
Interdisciplinary Infrastructure for Aging Research: Rochester Epidemiology ProjectR33AG058738 · NIA · MAYO CLINIC ROCHESTER · PI LEBRASSEUR, NATHAN K, OLSON, JANET E · 2020 to 2022
$2.4M
NIA NIH HHS R01 AG034676NIA NIH HHS R01 AG052425NIA NIH HHS R33 AG058738
6 · The paper itself

Abstract

backgroundAdministrative databases that capture diagnostic codes are increasingly being used worldwide for research because they can save time and reduce costs. However, assessing validity is necessary before defining diseases using only diagnostic codes in research applications.

objectiveOur objective was to assess the validity of using diagnostic codes to identify incident Parkinson's disease (PD) cases in Olmsted County, Minnesota using an established standard for comparison (1976-2005).

methodsCases were identified solely using computer programs applied to administrative diagnostic code indexes from the Rochester Epidemiology Project (REP). Two codes >30 days apart or one code on the death certificate constituted PD. The standard was a clinical diagnosis by movement disorders specialists based on medical record review. Validity was assessed using positive predictive value (PPV) and sensitivity. Numbers of incident cases and incidence rates were compared between the two ascertainment methods by sex.

resultsThe codes only method over-counted the number of incident PD cases by 73% (804 versus 464), and this over-counting generally increased with calendar year. Sensitivity was 80% (95% CI [76%, 84%]) and PPV was 46% (95% CI [34%, 50%]). Disease status misclassification accounted for two-thirds of falsely identified cases, where individuals were found to not have PD (43%) or even parkinsonism (23%) after medical record review. The codes only method also over-estimated the incidence rate time trend for men and women by approximately two-fold.

conclusionIn our context, using administrative diagnostic codes only to identify incident PD cases is not recommended unless more accurate algorithms are developed.

Indexed as

Diagnostic codeHealth administrative dataIncidenceParkinson’s diseaseValidation

Identifiers

PMID34164614
PMCPMC8218579
OpenAlexW3033775064

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.