Evidence map›Paper›PMID 42063315›Full record

Observational studyAlzheimer's & dementia : the journal of the Alzheimer's Association2026

Predictors of cognitive resilience in the old-old: An observational study using real-world electronic health record data.

Konstantina Skolariki, Paul B Rosenberg, Esther S Oh, Jeannie Leoutsakos, Constantine G Lyketsos, Roy Adams

Abstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Konstantina SkolarikiDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0002-7704-5368
Paul B RosenbergDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Esther S OhDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Jeannie LeoutsakosDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Constantine G LyketsosDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Roy AdamsDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

Funding

Research Education ComponentP30AG066507 · NIA · JOHNS HOPKINS UNIVERSITY · PI Corinne Pettigrew · 2020 to 2026
$29.3M
Machine learning-based methods for phenotyping dementia patients from electronic health record dataK25AG083064 · NIA · JOHNS HOPKINS UNIVERSITY · PI Roy Adams · 2023 to 2026
$561k
Johns Hopkins Alzheimer's Disease Research CenterNIA NIH HHS K25 AG083064NIA NIH HHS P30 AG066507NIHNIH HHS K25AG083064Richman Family Foundation, the Rick Sharp Alzheimer's Foundation, the Sharp Family FoundationRichman Family Precision Medicine Center of Excellence
6 · The paper itself

Abstract

introductionUnderstanding factors associated with cognitive resilience is critical for developing interventions to preserve cognitive health in the old-old. Our aim is identifying clinical predictors of cognitive resilience in a large real-world cohort of adults aged 75+.

methodsLongitudinal analysis of electronic health records from Johns Hopkins primary care clinics between January 1, 2014, and August 31, 2025. A minimum of two follow-up visits at least a year apart were required. To estimate the associations between predictors and cognitive resilience, we employed a Cox model with cognitive disorder diagnosis as the outcome.

resultsOf 43,178 patients, 6563 developed cognitive disorder during follow-up. Psychiatric conditions were strongly associated with decreased resilience. Antihypertensive use was associated with increased resilience. Black race and Medicaid enrollment were associated with decreased resilience. DISCUSSION: Most adults reaching 90 remained cognitively healthy. Resilience reflected physiological reserve and care engagement, while vascular, psychiatric, and social factors reduced resilience.

Indexed as

AgingCognitionCognition DisordersElectronic Health RecordsResilience, PsychologicalAgedAged, 80 and overFemaleHumansLongitudinal StudiesMaleagingcognitive resilienceEHR dataold‐oldpredictors

Identifiers

PMID42063315
PMCPMC13133552

What OpenQuestion holds

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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.