Evidence map›Paper›PMID 25278166›Full record

ReviewAgeing research reviews2014

BioAge: toward a multi-determined, mechanistic account of cognitive aging.

Correne A DeCarlo, Holly A Tuokko, Dorothy Williams, Roger A Dixon, Stuart W S MacDonald

Abstract readReview
In one paragraph

Review in Ageing research reviews, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Exploring epigenetic aging and cognitive change in middle adulthood.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
    Article
  2. Article
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  4. Epigenetic Age Acceleration and Chronological Age: Associations With Cognitive Performance in Daily Life.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
    Article
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  10. Klotho controls the brain-immune system interface in the choroid plexus.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  11. Article
  12. Memory Resilience to Alzheimer's Genetic Risk: Sex Effects in Predictor Profiles.The journals of gerontology. Series B, Psychological sciences and social sciences · 2017
    Article
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  14. Article
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  16. Article
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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

5 authors.

Correne A DeCarloDepartment of Psychology, University of Victoria, Victoria, BC, Canada; Centre on Aging, University of Victoria, Victoria, BC, Canada. Electronic address: decarloc@uvic.ca.
Holly A TuokkoDepartment of Psychology, University of Victoria, Victoria, BC, Canada; Centre on Aging, University of Victoria, Victoria, BC, Canada.
Dorothy WilliamsDepartment of Geriatrics, West Coast General Hospital, Port Alberni, BC, Canada.
Roger A DixonDepartment of Psychology, University of Alberta, Edmonton, AB Canada.
Stuart W S MacDonaldDepartment of Psychology, University of Victoria, Victoria, BC, Canada; Centre on Aging, University of Victoria, Victoria, BC, Canada.

Funding

LONGITUDINAL STUDY OF COGNITIVE AGINGR01AG008235 · NIA · UNIVERSITY OF VICTORIA · PI DIXON, ROGER A · 1989 to 2017
$2.3M
NIA NIH HHS R01 AG 008235NIA NIH HHS R01 AG008235
6 · The paper itself

Abstract

The search for reliable early indicators of age-related cognitive decline represents a critical avenue for progress in aging research. Chronological age is a commonly used developmental index; however, it offers little insight into the mechanisms underlying cognitive decline. In contrast, biological age (BioAge), reflecting the vitality of essential biological systems, represents a promising operationalization of developmental time. Current BioAge models have successfully predicted age-related cognitive deficits. Research on aging-related cognitive function indicates that the interaction of multiple risk and protective factors across the human lifespan confers individual risk for late-life cognitive decline, implicating a multi-causal explanation. In this review, we explore current BioAge models, describe three broad yet pathologically relevant biological processes linked to cognitive decline, and propose a novel operationalization of BioAge accounting for both moderating and causal mechanisms of cognitive decline and dementia. We argue that a multivariate and mechanistic BioAge approach will lead to a greater understanding of disease pathology as well as more accurate prediction and early identification of late-life cognitive decline.

Indexed as

CognitionAge FactorsAgingAnimalsBrainCognition DisordersHealth StatusHumansInflammationOxidative StressRisk FactorsVascular DiseasesBiological ageCognitive agingEarly identificationInflammationOxidative stressVascular health

Identifiers

PMID25278166
PMCPMC4258131

What OpenQuestion holds

Textmetadata
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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.