Evidence map›Paper›PMID 42268499›Full record

ArticleGeroScience2026

Cognitive trajectories and mortality risk in older adults: a 9-year follow-up study.

Gabriela Cabett Cipolli, Daniela de Assumpção, Ivan Aprahamian, Mallak Khalid Alzahrani, Ligiana Pires Corona, Yeda Aparecida de Oliveira Duarte, Mônica Sanches Yassuda, Qian-Li Xue

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Article in GeroScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

8 authors.

Gabriela Cabett CipolliPostgraduate Program in Gerontology, Faculty of Medical Sciences, State University of Campinas, Campinas, São Paulo, Brazil. gabriela.cipolli@alumni.usp.br.ORCID http://orcid.org/0000-0002-6966-1654
Daniela de AssumpçãoPostgraduate Program in Gerontology, Faculty of Medical Sciences, State University of Campinas, Campinas, São Paulo, Brazil.
Ivan AprahamianGroup of Investigation On Multimorbidity and Mental Health in Aging (GIMMA), Geriatrics Division, Internal Medicine Department, Jundiaí Medical School, São Paulo, Brazil.
Mallak Khalid AlzahraniCenter On Aging and Health, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Ligiana Pires CoronaPostgraduate Program in Gerontology, Faculty of Medical Sciences, State University of Campinas, Campinas, São Paulo, Brazil.
Yeda Aparecida de Oliveira DuarteSchool of Nursing, University of São Paulo, São Paulo, Brazil.
Mônica Sanches YassudaPostgraduate Program in Gerontology, Faculty of Medical Sciences, State University of Campinas, Campinas, São Paulo, Brazil.
Qian-Li XueCenter On Aging and Health, Johns Hopkins School of Medicine, Baltimore, MD, USA.

Funding

Technological Assessment and Solutions Core - RC4P30AG021334 · NIA · JOHNS HOPKINS UNIVERSITY · PI Jeremy D Walston · 2003 to 2026
$33.2M
Fundação de Amparo à Pesquisa do Estado de São Paulo 2022/14795-4NIA NIH HHS P30AG021334
6 · The paper itself

Abstract

Cognitive decline is a central feature of aging and a major determinant of disability and mortality. Understanding cognitive trajectories is essential for identifying individuals at risk and informing preventive strategies. In this study, we estimated transition probabilities across cognitive states and examined predictors of cognitive deficit and mortality among 1,413 community-dwelling older adults for nine years. Cognitive status was assessed at baseline and at two follow-up waves (2006, 2010, and 2015) using the Mini-Mental State Examination and categorized into four trajectories: stable, worsening, improving, or fluctuating. Transition probabilities and associated predictors were estimated using discrete-time Markov models via multinomial logistic regression, including baseline cognitive status, age, sex, frailty, multimorbidity, and depressive symptoms. During follow-up, 51.1% of participants experienced cognitive decline, 46.6% remained stable, 1.3% improved, and 1.1% fluctuated. Frailty increased the odds of both cognitive deficit (OR = 3.1; 95% CI 1.86-5.18) and mortality (OR = 4.2; 95% CI 2.66-6.69). Participants aged ≥ 80 years had higher risks of cognitive deficit (OR = 5.2; 95% CI 3.63-7.48) and death (OR = 11.9; 95% CI 8.30-17.21). Prior cognitive deficit predicted subsequent decline (OR = 7.5; 95% CI 4.77-11.77) and mortality (OR = 7.2; 95% CI 4.63-11.28), whereas female sex was associated with lower mortality risk (OR = 0.50; 95% CI 0.38-0.66). These findings indicate that cognitive decline in late life follows a progressive trajectory and highlight frailty and advanced age as key predictors of cognitive deterioration and mortality, emphasizing the importance of early identification and preventive strategies.

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AgedCognitionMortalityTrajectories

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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.