Evidence map›Paper›PMID 31221191›Full record

ArticleAlzheimer's research & therapy2019

Frailty effects on non-demented cognitive trajectories are moderated by sex and Alzheimer's genetic risk.

Sherilyn Thibeau, Kirstie McDermott, G Peggy McFall, Kenneth Rockwood, Roger A Dixon

Open access · goldAbstract read
In one paragraph

Article in Alzheimer's research & therapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
2.7field-weighted citation impact, top 11% of its field
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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 40 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
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  6. Article
  7. Article
  8. Sustained frailty remission and dementia risk in older adults: A longitudinal study.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  9. Article
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  11. Article
  12. Frailty and Processing Speed Performance at the Cusp of Midlife in CATSLife.The journals of gerontology. Series B, Psychological sciences and social sciences · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Observational
  17. Gender Issues in the Care of Elderly: A Narrative Review.Indian journal of psychological medicine · 2021
    Article
  18. Article
  19. Cumulative health deficits,Journal of neurology, neurosurgery, and psychiatry · 2021
    Article
  20. Article
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 at 2 institutions in 1 country.

Sherilyn ThibeauDepartment of Psychology, University of Alberta, P217 Biological Sciences Building, Edmonton, AB, Canada. thibeau@ualberta.ca.ORCID 0000-0002-7162-8706
Kirstie McDermottNeuroscience and Mental Health Institute, University of Alberta, 4-120 Katz Group Centre, Edmonton, AB, Canada.
G Peggy McFallDepartment of Psychology, University of Alberta, P217 Biological Sciences Building, Edmonton, AB, Canada.
Kenneth RockwoodDepartment of Geriatric Medicine, QEII Health Sciences Centre, Dalhousie University, VG Site, Suite 442 Bethune Building, 1276 South Park Street, Halifax, NS, Canada.
Roger A DixonDepartment of Psychology, University of Alberta, P217 Biological Sciences Building, Edmonton, AB, Canada.
University of Alberta · CADalhousie University · CA

Funding

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

Abstract

backgroundAge-related frailty reflects cumulative multisystem physiological and health decline. Frailty increases the risk of adverse brain and cognitive outcomes, including differential decline and dementia. In a longitudinal sample of non-demented older adults, we examine whether (a) the level and/or change in frailty predicts trajectories across three cognitive domains (memory, speed, and executive function (EF)) and (b) prediction patterns are modified by sex or Alzheimer's genetic risk (Apolipoprotein E (APOE)).

methodsParticipants (n = 632; M age = 70.7, range 53-95; 3 waves) were from the Victoria Longitudinal Study. After computing a frailty index, we used latent growth modeling and path analysis to test the frailty effects on level and change in three latent variables of cognition. We tested two potential moderators by stratifying by sex and APOE risk (ε4+, ε4-).

resultsFirst, frailty levels predicted speed and EF performance (level) and differential memory change slopes. Second, change in frailty predicted the rate of decline for both speed and EF. Third, sex moderation analyses showed that females were selectively sensitive to (a) frailty effects on memory change and (b) frailty change effects on speed change. In contrast, the frailty effects on EF change were stronger in males. Fourth, genetic moderation analyses showed that APOE risk (e4+) carriers were selectively sensitive to frailty effects on memory change.

conclusionIn non-demented older adults, increasing frailty is strongly associated with the differential decline in cognitive trajectories. For example, higher (worse) frailty was associated with more rapid memory decline than was lower (better) frailty. These effects, however, are moderated by both genetic risk and sex.

Indexed as

CognitionSex CharacteristicsAgedAged, 80 and overAlzheimer DiseaseApolipoproteins EExecutive FunctionFemaleFrailtyGenetic Predisposition to DiseaseHumansMaleMemoryMiddle AgedNeuropsychological TestsPsychomotor PerformanceApoE protein, humanApolipoproteins EApolipoprotein EEpisodic memoryExecutive functionFrailtySexSpeedVictoria Longitudinal Study

Identifiers

PMID31221191
PMCPMC6587247
OpenAlexW2952579863

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.