Evidence map›Paper›PMID 42191917›Full record

ArticleJournal of neural transmission (Vienna, Austria : 1996)2026

CogStrat: web-based tools for predicting incident cognitive impairment in cognitively normal older adults.

Adolfo Jiménez-Huete, Jimmy Santiago Ulloa Bravo, Antonio Martín-Bastida, Teresa Rognoni, Genoveva Montoya-Murillo, María Cruz Rodríguez-Oroz, Mario Riverol, Alzheimer’s Disease Neuroimaging Initiative*

Abstract read
In one paragraph

Article in Journal of neural transmission (Vienna, Austria : 1996), 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

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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

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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

8 authors.

Adolfo Jiménez-HueteDepartment of Neurology, Clínica Universidad de Navarra, C/ Marquesado de Santa Marta, 1, 28027, Madrid and Pamplona, Spain. ajimenezh@unav.es.ORCID http://orcid.org/0000-0001-7438-8763
Jimmy Santiago Ulloa BravoDepartment of Neurology, Clínica Universidad de Navarra, C/ Marquesado de Santa Marta, 1, 28027, Madrid and Pamplona, Spain.
Antonio Martín-BastidaDepartment of Neurology, Clínica Universidad de Navarra, C/ Marquesado de Santa Marta, 1, 28027, Madrid and Pamplona, Spain.
Teresa RognoniDepartment of Neurology, Clínica Universidad de Navarra, C/ Marquesado de Santa Marta, 1, 28027, Madrid and Pamplona, Spain.
Genoveva Montoya-MurilloDepartment of Neurology, Clínica Universidad de Navarra, C/ Marquesado de Santa Marta, 1, 28027, Madrid and Pamplona, Spain.
María Cruz Rodríguez-OrozDepartment of Neurology, Clínica Universidad de Navarra, C/ Marquesado de Santa Marta, 1, 28027, Madrid and Pamplona, Spain.
Mario RiverolDepartment of Neurology, Clínica Universidad de Navarra, C/ Marquesado de Santa Marta, 1, 28027, Madrid and Pamplona, Spain.
Alzheimer’s Disease Neuroimaging Initiative*

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early identification of individuals at increased risk of cognitive impairment is crucial for timely intervention. We developed and evaluated Cox proportional hazards models and translated them into web-based applications to predict incident cognitive impairment in cognitively normal older adults using clinical data, with optional biomarker inputs. Data were drawn from cognitively unimpaired participants in the Alzheimer's Disease Neuroimaging Initiative (ADNI). Models included demographic and neuropsychological variables, with optional genetic, neuroimaging, and fluid (plasma and CSF) biomarkers. Performance was assessed using the C-index, calibration slope, and decision curve analysis, with internal validation via bootstrap resampling. Key models were externally validated in the Harvard Aging Brain Study. The ADNI sample comprised 729 participants (median age 73 years; 45% male). A clinical model including age, education, Montreal Cognitive Assessment, and delayed word recall showed acceptable discrimination (C-index 0.721; CI 0.672-0.772) and strong calibration (slope 0.940). Adding biomarkers improved performance, with the highest discrimination observed for a model including FDG and florbetapir PET uptake (C-index 0.805; CI 0.759-0.886). Discrimination remained stable after internal and external validation, while calibration was weaker for most plasma biomarkers. Five web applications (CogStrat) were developed using clinical data alone or combined with hippocampal volume, CSF tau/Aβ42, plasma neurofilament light chain, or FDG and florbetapir PET. These tools provide individualized risk group classifications, 5-year risk estimates, and 10-year cumulative incidence curves. CogStrat translates prognostic models into freely accessible, interactive tools that support risk stratification of cognitive impairment in cognitively normal older adults.

Indexed as

Cognitive DysfunctionInternetAgedAged, 80 and overAgingAmyloid beta-PeptidesBiomarkersFemaleHumansMaleNeuropsychological TestsPositron-Emission TomographyProportional Hazards Modelstau ProteinsAmyloid beta-PeptidesBiomarkerstau ProteinsBiomarkersCognitive impairmentCox proportional hazards regressionMontreal cognitive assessmentPredictive modelsUser–computer interface

Identifiers

PMID42191917
PMCPMC13687235

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.