Evidence map›Paper›PMID 35866711›Full record

ArticleAnnals of neurology2022

Development of Parkinson Disease and Its Relationship with Incidentally Discovered White Matter Disease and Covert Brain Infarction in a Real-World Cohort.

David M Kent, Lester Y Leung, Eric J Puttock, Andy Y Wang, Patrick H Luetmer, David F Kallmes, Jason Nelson, Sunyang Fu, Chengyi Zheng, Ellen M Vickery and 3 more

Open access · greenAbstract read
In one paragraph

Article in Annals of neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Update: Protective and risk factors for Parkinson disease.Parkinsonism & related disorders · 2024
    Review
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

13 authors at 4 institutions in 2 countries.

David M KentPredictive Analytics and Comparative Effectiveness Center, Tufts Medical Center, Boston, Massachusetts, USA.ORCID 0000-0002-9205-5070
Lester Y LeungDepartment of Neurology, Tufts Medical Center, Boston, Massachusetts, USA.
Eric J PuttockDepartment of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA.ORCID 0000-0003-3963-314X
Andy Y WangPredictive Analytics and Comparative Effectiveness Center, Tufts Medical Center, Boston, Massachusetts, USA.
Patrick H LuetmerDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
David F KallmesDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Jason NelsonPredictive Analytics and Comparative Effectiveness Center, Tufts Medical Center, Boston, Massachusetts, USA.
Sunyang FuDepartment of AI and Informatics, Mayo Clinic, Rochester, Minnesota, USA.
Chengyi ZhengDepartment of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA.
Ellen M VickeryPredictive Analytics and Comparative Effectiveness Center, Tufts Medical Center, Boston, Massachusetts, USA.
Hongfang LiuDepartment of AI and Informatics, Mayo Clinic, Rochester, Minnesota, USA.
Alastair J NoycePreventive Neurology Unit, Wolfson Institute of Population Health, Queen Mary University of London, London, UK.ORCID 0000-0003-3027-5497
Wansu ChenDepartment of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA.
Tufts Medical Center · USMayo Clinic · USKaiser Permanente · USQueen Mary University of London · GB

Funding

Enabling Comparative Effectiveness Research in Silent Brain Infarction Through Natural Language Processing and Big DataR01NS102233 · NINDS · TUFTS MEDICAL CENTER · PI DAVID M KENT · 2017 to 2026
$3.4M
NINDS NIH HHS R01 NS102233
6 · The paper itself

Abstract

objectiveThis study aimed to examine the relationship between covert cerebrovascular disease, comprised of covert brain infarction and white matter disease, discovered incidentally in routine care, and subsequent Parkinson disease.

methodsPatients were ≥50 years and received neuroimaging for non-stroke indications in the Kaiser Permanente Southern California system from 2009 to 2019. Natural language processing identified incidentally discovered covert brain infarction and white matter disease and classified white matter disease severity. The Parkinson disease outcome was defined as 2 ICD diagnosis codes.

results230,062 patients were included (median follow-up 3.72 years). A total of 1,941 Parkinson disease cases were identified (median time-to-event 2.35 years). Natural language processing identified covert cerebrovascular disease in 70,592 (30.7%) patients, 10,622 (4.6%) with covert brain infarction and 65,814 (28.6%) with white matter disease. After adjustment for known risk factors, white matter disease was associated with Parkinson disease (hazard ratio 1.67 [95%CI, 1.44, 1.93] for patients <70 years and 1.33 [1.18, 1.50] for those ≥70 years). Greater severity of white matter disease was associated with increased incidence of Parkinson disease(/1,000 person-years), from 1.52 (1.43, 1.61) in patients without white matter disease to 4.90 (3.86, 6.13) in those with severe disease. Findings were robust when more specific definitions of Parkinson disease were used. Covert brain infarction was not associated with Parkinson disease (adjusted hazard ratio = 1.05 [0.88, 1.24]).

interpretationIncidentally discovered white matter disease was associated with subsequent Parkinson disease, an association strengthened with younger age and increased white matter disease severity. Incidentally discovered covert brain infarction did not appear to be associated with subsequent Parkinson disease. ANN NEUROL 2022;92:620-630.

Indexed as

LeukoencephalopathiesParkinson DiseaseWhite MatterBrainBrain InfarctionCohort StudiesHumans

Identifiers

PMID35866711
PMCPMC9489676
OpenAlexW4286488859

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.