Evidence map›Paper›PMID 36565208›Full record

ArticleJournal of the American Heart Association2023

Association of Incidentally Discovered Covert Cerebrovascular Disease Identified Using Natural Language Processing and Future Dementia.

David M Kent, Lester Y Leung, Yichen Zhou, Patrick H Luetmer, David F Kallmes, Jason Nelson, Sunyang Fu, Eric J Puttock, Chengyi Zheng, Hongfang Liu and 1 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

13 citing papers in PubMed, 19 citations in OpenAlex.

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  9. Deep Learning and Geriatric Mental Health.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2024
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 1 country.

David M KentPredictive Analytics and Comparative Effectiveness Center, Tufts Medical Center Boston MA.ORCID 0000-0002-9205-5070
Lester Y LeungDepartment of Neurology Tufts Medical Center Boston MA.
Yichen ZhouDepartment of Research and Evaluation Kaiser Permanente Southern California Pasadena CA.
Patrick H LuetmerDepartment of Radiology Mayo Clinic Rochester MN.ORCID 0000-0003-4660-7644
David F KallmesDepartment of Radiology Mayo Clinic Rochester MN.
Jason NelsonPredictive Analytics and Comparative Effectiveness Center, Tufts Medical Center Boston MA.ORCID 0000-0003-1113-9326
Sunyang FuDepartment of AI and Informatics Mayo Clinic Rochester MN.ORCID 0000-0003-1691-5179
Eric J PuttockDepartment of Research and Evaluation Kaiser Permanente Southern California Pasadena CA.ORCID 0000-0003-3963-314X
Chengyi ZhengDepartment of Research and Evaluation Kaiser Permanente Southern California Pasadena CA.ORCID 0000-0002-4194-0029
Hongfang LiuDepartment of AI and Informatics Mayo Clinic Rochester MN.
Wansu ChenDepartment of Research and Evaluation Kaiser Permanente Southern California Pasadena CA.
Kaiser Permanente · USMayo Clinic · USTufts Medical Center · USMayo Clinic in Arizona · US

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
Covert Cerebrovascular Disease Detected by Artificial Intelligence (C2D2AI): A Platform for Pragmatic Evidence Generation for Stroke and Dementia PreventionRF1NS102233 · NINDS · TUFTS MEDICAL CENTER · PI KENT, DAVID M · 2023 to 2025
$3.1M
NINDS NIH HHS R01 NS102233NINDS NIH HHS RF1 NS102233
6 · The paper itself

Abstract

Background Covert cerebrovascular disease (CCD) has been shown to be associated with dementia in population-based studies with magnetic resonance imaging (MRI) screening, but dementia risk associated with incidentally discovered CCD is not known. Methods and Results Individuals aged ≥50 years enrolled in the Kaiser Permanente Southern California health system receiving head computed tomography (CT) or MRI for nonstroke indications from 2009 to 2019, without prior ischemic stroke/transient ischemic attack, dementia/Alzheimer disease, or visit reason/scan indication suggestive of cognitive decline or stroke were included. Natural language processing identified incidentally discovered covert brain infarction (id-CBI) and white matter disease (id-WMD) on the neuroimage report; white matter disease was characterized as mild, moderate, severe, or undetermined. We estimated risk of dementia associated with id-CBI and id-WMD. Among 241 050 qualified individuals, natural language processing identified 69 931 (29.0%) with id-WMD and 11 328 (4.7%) with id-CBI. Dementia incidence rates (per 1000 person-years) were 23.5 (95% CI, 22.9-24.0) for patients with id-WMD, 29.4 (95% CI, 27.9-31.0) with id-CBI, and 6.0 (95% CI, 5.8-6.2) without id-CCD. The association of id-WMD with future dementia was stronger in younger (aged <70 years) versus older (aged ≥70 years) patients and for CT- versus MRI-discovered lesions. For patients with versus without id-WMD on CT, the adjusted HR was 2.87 (95% CI, 2.58-3.19) for older and 1.87 (95% CI, 1.79-1.95) for younger patients. For patients with versus without id-WMD on MRI, the adjusted HR for dementia risk was 2.28 (95% CI, 1.99-2.62) for older and 1.48 (95% CI, 1.32-1.66) for younger patients. The adjusted HR for id-CBI was 2.02 (95% CI, 1.70-2.41) for older and 1.22 (95% CI, 1.15-1.30) for younger patients for either modality. Dementia risk was strongly correlated with id-WMD severity; adjusted HRs compared with patients who were negative for id-WMD by MRI ranged from 1.41 (95% CI, 1.25-1.60) for those with mild disease on MRI to 4.11 (95% CI, 3.58-4.72) for those with severe disease on CT. Conclusions Incidentally discovered CCD is common and associated with a high risk of dementia, representing an opportunity for prevention. The association is strengthened when discovered at younger age, by increasing id-WMD severity, and when id-WMD is detected by CT scan rather than MRI.

Indexed as

Cognitive DysfunctionDementiaLeukoencephalopathiesStrokeHumansMagnetic Resonance ImagingNatural Language Processingcovert brain infarctioncovert cerebrovascular diseasedementiadementia riskwhite matter disease

Identifiers

PMID36565208
PMCPMC9973577
OpenAlexW4313523870

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.