Evidence map›Paper›PMID 36524738›Full record

ArticleBrain injury2023

Investigation of the association of military employment and Parkinson's disease with a validated Parkinson's disease case-finding strategy.

Melinda C Power, Varsha Parthasarathy, Kan Z Gianattasio, Rod L Walker, Paul K Crane, Eric B Larson, Laura E Gibbons, Raj G Kumar, Kristen Dams O'Connor

Open access · greenAbstract read
In one paragraph

Article in Brain injury, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 42% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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 at 5 institutions in 1 country.

Melinda C PowerDepartment of Epidemiology, George Washington University Milken Institute School of Public Health, Washington, DC, USA.
Varsha ParthasarathyDepartment of Medicine, The George Washington School of Medicine and Health Sciences, Washington, Washington, USA.
Kan Z GianattasioDepartment of Epidemiology, George Washington University Milken Institute School of Public Health, Washington, DC, USA.
Rod L WalkerKaiser Permanente Washington Health Research Institute, Seattle, Washington, USA.
Paul K CraneDepartment of Medicine, University of Washington, Seattle, Washington, USA.
Eric B LarsonKaiser Permanente Washington Health Research Institute, Seattle, Washington, USA.
Laura E GibbonsDepartment of Medicine, University of Washington, Seattle, Washington, USA.
Raj G KumarDepartment of Rehabilitation Medicine, Icahn School of Medicine at Mount Sinai, NY, New York, USA.
Kristen Dams O'ConnorDepartment of Rehabilitation Medicine, Icahn School of Medicine at Mount Sinai, NY, New York, USA.
George Washington University · USIcahn School of Medicine at Mount Sinai · USKaiser Permanente Washington Health Research Institute · USUniversity of Washington · USMilken Institute · US

Funding

Translational pharmacoepidemiology: neuroprotection and neurotoxicity of antihypertensives and strong anticholinergicsU19AG066567 · NIA · KAISER FOUNDATION RESEARCH INSTITUTE · PI Paul K Crane, Andrea Z. LaCroix · 2021 to 2026
$80.4M
THERAPEUTIC EFFECTS OF INTRA-NASAL INSULIN DETEMIRP50AG005136 · NIA · UNIVERSITY OF WASHINGTON · PI JAYADEY, SUMAN · 1985 to 2019
$57.2M
Furthering scientific understanding of mechanisms underlying resilience to the effects of AD pathology by incorporating state of the art quantification of gliosis, inflammation, & synaptic toxicityU01AG006781 · NIA · UNIVERSITY OF WASHINGTON · PI CRANE, PAUL K, LARSON, ERIC B · 1986 to 2020
$39.3M
University of Washington Alzheimer's Disease Research CenterP30AG066509 · NIA · UNIVERSITY OF WASHINGTON · PI SUMAN JAYADEV · 2020 to 2026
$29.0M
Leveraging Existing Aging Research Networks to investigate TBI and AD/ADRD risk (LEARN TBI & AD)R01AG061028 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI DAMS-O'CONNOR, KRISTEN, MEZ, JESSE BENJAMIN · 2019 to 2023
$5.9M
NIA NIH HHS P30 AG066509NIA NIH HHS P50 AG005136NIA NIH HHS R01 AG061028NIA NIH HHS U01 AG006781NIA NIH HHS U19 AG066567
6 · The paper itself

Abstract

introductionPersons with military involvement may be more likely to have Parkinson's disease (PD) risk factors. As PD is rare, case finding remains a challenge, contributing to our limited understanding of PD risk factors. Here, we explore the validity of case-finding strategies and whether military employment is associated with PD. MATERIALS AND

methodsWe identified Adult Changes in Thought (ACT) study participants reporting military employment as their longest or second longest occupation. We used self-report and prescription fills to identify PD cases and validated this case-finding approach against medical record review.

resultsAt enrollment, 6% of 5,125 eligible participants had military employment and 1.8% had prevalent PD; an additional 3.5% developed PD over follow-up (mean: 8.3 years). Sensitivity of our case-finding approach was higher for incident (80%) than prevalent cases (54%). Specificity was high (>97%) for both. Military employment was not associated with prevalent PD. Among nonsmokers, point estimates suggested an increased risk of incident PD with military employment, but the result was non-significant and based on a small number of cases.

conclusionsSelf-report and prescription medications can accurately identify incident PD cases relative to the reference method of medical record review. We found no association between military employment and PD.

Indexed as

Military PersonnelParkinson DiseaseAdultEmploymentHumansSelf ReportepidemiologyMilitaryparkinson’s diseaseriskveteran

Identifiers

PMID36524738
PMCPMC10033361
OpenAlexW4311686933

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.