Evidence map›Paper›PMID 33991041›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2021

Validation and demonstration of a new comprehensive model of Alzheimer's disease progression.

Yaakov Stern, Eric Stallard, Bruce Kinosian, Carolyn Zhu, Stephanie Cosentino, Zhezhen Jin, Yian Gu

Abstract readValidation Study
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Neuropsychiatric symptom subtypes and dementia-associated neuropathologic change.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
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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

7 authors.

Yaakov SternCognitive Neuroscience Division of the Department of Neurology and Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA.
Eric StallardBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, North Carolina, USA.
Bruce KinosianDepartment of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Carolyn ZhuBrookdale Department of Geriatrics and Palliative Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Stephanie CosentinoCognitive Neuroscience Division of the Department of Neurology and Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA.
Zhezhen JinDepartment of Biostatistics, Mailman School of Public Health, Columbia University, New York, New York, USA.
Yian GuCognitive Neuroscience Division of the Department of Neurology and Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA.

Funding

Research Education CoreP30AG066462 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Miguel Arce · 2020 to 2026
$30.1M
PREDICTORS OF SEVERITY IN ALZHEIMERS DISEASER01AG007370 · NIA · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI STERN, YAAKOV · 1989 to 2021
$16.6M
NIA NIH HHS P30 AG066462NIA NIH HHS R01 AG007370
6 · The paper itself

Abstract

introductionIdentifying the course of Alzheimer's disease (AD) for individual patients is important for numerous clinical applications. Ideally, prognostic models should provide information about a range of clinical features across the entire disease process. Previously, we published a new comprehensive longitudinal model of AD progression with inputs/outputs covering 11 interconnected clinical measurement domains.

methodsHere, we (1) validate the model on an independent cohort; and (2) demonstrate the model's utility in clinical applications by projecting changes in 6 of the 11 domains.

resultsSurvival and prevalence curves for two representative outcomes-mortality and dependency-generated by the model accurately reproduced the observed curves both overall and for patients subdivided according to risk levels using an independent Cox model. DISCUSSION: The new model, validated here, effectively reproduces the observed course of AD from an initial visit assessment, allowing users to project coordinated developments for individual patients of multiple disease features.

Indexed as

Disease ProgressionAgedAged, 80 and overAlzheimer DiseaseCohort StudiesFemaleHumansLongitudinal StudiesMaleMiddle AgedMortalityclinical signs/symptomsdementia progressiongrade of membershipheterogeneitylongitudinal follow-upprognosis

Identifiers

PMID33991041
PMCPMC8818260

What OpenQuestion holds

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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.