Evidence map›Paper›PMID 28479153›Full record

ArticleThe American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry2017

Longitudinal Cognitive Outcomes of Clinical Phenotypes of Late-Life Depression.

Meghan Riddle, Guy G Potter, Douglas R McQuoid, David C Steffens, John L Beyer, Warren D Taylor

Abstract read
In one paragraph

Article in The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 1 pooled it
–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

53 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Hippocampal Total, Subregion, and Subfield Volume Alterations in Late-Life Depression.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026
    Article
  6. Accelerated Cognitive Decline in Late Life Depression: The Role of Amyloid-β, Cortico-Limbic Volume, and White Matter Hyperintensities.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2026
    Article
  7. Remission is insufficient: predictors and mechanistic models of recurrence in late-life depression.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Review
  8. Article
  9. Article
  10. Effects of Persistent Depression on Recall Memory are Moderated by Subjective Age Levels: Evidence From Community-Dwelling Older Adults.Stress and health : journal of the International Society for the Investigation of Stress · 2025
    Article
  11. Brain Age Is Not a Significant Predictor of Relapse Risk in Late-Life Depression.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. The Role of State Versus Trait Anxiety on Cognition in Older Adults With Major Depressive Disorder.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2024
    Observational
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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

6 authors.

Meghan RiddleCenter for Cognitive Medicine, Department of Psychiatry, Vanderbilt University Medical Center, Nashville, TN.
Guy G PotterDepartment of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC.
Douglas R McQuoidDepartment of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC.
David C SteffensDepartment of Psychiatry, University of Connecticut Health Center, Farmington, CT.
John L BeyerDepartment of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC.
Warren D TaylorCenter for Cognitive Medicine, Department of Psychiatry, Vanderbilt University Medical Center, Nashville, TN; Geriatric Research, Education and Clinical Center, Department of Veterans Affairs Medical Center (WDT), Tennessee Valley Healthcare System, Nashville, TN. Electronic address: warren.d.taylor@vanderbilt.edu.

Funding

Geriatric Depression: Risk Factors for Adverse OutcomesR01MH054846 · NIMH · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI STEFFENS, DAVID C. · 1995 to 2016
$10.1M
Neural Connectivity Affecting the Antidepressant Response: Testing a Lesion ModelR01MH102246 · NIMH · VANDERBILT UNIVERSITY MEDICAL CENTER · PI TAYLOR, WARREN D · 2015 to 2019
$3.1M
2/2 Phenotype Predictors of Cognitive Outcomes in Geriatric DepressionR01MH108560 · NIMH · DUKE UNIVERSITY · PI POTTER, GUY GLENN · 2016 to 2020
$1.8M
Mentoring and Research on Neurobiological Markers of Clinical Outcomes in DepressionK24MH110598 · NIMH · VANDERBILT UNIVERSITY MEDICAL CENTER · PI TAYLOR, WARREN D · 2016 to 2019
$637k
Frontal hypo perfusion effects on antidepressant outcomes in geriatric depressionR21MH099218 · NIMH · VANDERBILT UNIVERSITY MEDICAL CENTER · PI TAYLOR, WARREN D · 2013 to 2014
$429k
NIMH NIH HHS K24 MH110598NIMH NIH HHS R01 MH054846NIMH NIH HHS R01 MH102246NIMH NIH HHS R01 MH108560NIMH NIH HHS R21 MH099218
6 · The paper itself

Abstract

objectiveLate-life depression is associated with cognitive deficits and increased risk for cognitive decline. The purpose of the study was to determine whether clinical characteristics could serve as phenotypes informative of subsequent cognitive decline. Age at depression onset and antidepressant remission at 3 months (acute response) and 12 months (chronic response) were examined.

methodsIn a longitudinal study of late-life depression in an academic center, 273 depressed and 164 never-depressed community-dwelling elders aged 60 years or older were followed on average for over 5 years. Participants completed annual neuropsychological testing. Neuropsychological measures were converted to z-scores derived from the baseline performance of all participants. Cognitive domain scores at each time were then created by averaging z-scores across tests, grouped into domains of episodic memory, attention-working memory, verbal fluency, and executive function.

resultsDepressed participants exhibited poorer performance at baseline and greater subsequent decline in all domains. Early-onset depressed individuals exhibited a greater decline in all domains than late-onset or nondepressed groups. For remission, remitters and nonremitters at both 3 and 12 month exhibited greater decline in episodic memory and attention-working memory than nondepressed subjects. Three-month remitters also exhibited a greater decline in verbal fluency and executive function, whereas 12-month nonremitters exhibited greater decline in executive function than other groups.

conclusionConsistent with past studies, depressed elders exhibit greater cognitive decline than nondepressed subjects, particularly individuals with early depression onset, supporting the theory that repeated depressive episodes may contribute to decline. Clinical remission is not associated with less cognitive decline.

Indexed as

Memory, EpisodicAgedAge of OnsetAgingAttentionCognitive DysfunctionComorbidityDepressive DisorderExecutive FunctionFemaleHumansLongitudinal StudiesMaleMemory, Short-TermMiddle AgedPhenotypecognitionDepressionexecutive functionlongitudinalmemoryonsetremissionresponse

Identifiers

PMID28479153
PMCPMC5600662

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.