Observational studyInternational psychogeriatrics2023
Cognitive phenotypes in late-life depression.
Observational study in International psychogeriatrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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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.
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.
Who cites it
11 citing papers in PubMed, 20 citations in OpenAlex.
- Effects of open-label transdermal nicotine antidepressant augmentation on affective symptoms and executive function in late-life depression.Journal of affective disorders · 2024Trial
- Article
- Remission is insufficient: predictors and mechanistic models of recurrence in late-life depression.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Review
- Reconsidering remission in recurrent late-life depression: clinical presentation and phenotypic predictors of relapse following successful antidepressant treatment.Psychological medicine · 2024Article
- The relationship between marital status and cognitive impairment in Chinese older adults: the multiple mediating effects of social support and depression.BMC geriatrics · 2024Article
- Assessing depression recurrence, cognitive burden, and neurobiological homeostasis in late life: Design and rationale of the REMBRANDT Study.Journal of mood and anxiety disorders · 2024Article
- Review of Emotion Regulation in Late Life Mood Disorders.Journal of psychiatry and brain science · 2024Article
- Cognitive, Disability, and Treatment Outcome Implications of Symptom-Based Phenotyping in Late-Life Depression.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2023Article
- Biological factors influencing depression in later life: role of aging processes and treatment implications.Translational psychiatry · 2023Review
- Can we promote cognitive resilience in late-life depression?International psychogeriatrics · 2023Article
- Brooding rumination predicts lower cognitive functioning in late-life depression: multivariate multiple regression analyses.Journal of clinical and experimental neuropsychologyArticle
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
objectiveTo identify cognitive phenotypes in late-life depression (LLD) and describe relationships with sociodemographic and clinical characteristics.
designObservational cohort study.
settingBaseline data from participants recruited via clinical referrals and community advertisements who enrolled in two separate studies.
participantsNon-demented adults with LLD ( MEASUREMENTS: All completed a neuropsychological battery, and individual cognitive test scores were standardized across the entire sample without correcting for demographics. Five empirically derived cognitive domain composites were created, and cluster analytic approaches (hierarchical,
resultsA three-cluster solution best reflected the data, including "High Normal" (
conclusionsThree cognitive phenotypes in LLD were identified that slightly differed in sociodemographic and disease-specific variables, but not in the quality of specific symptoms reported. Future work on these cognitive phenotypes will examine relationships to treatment response, vulnerability to cognitive decline, and neuroimaging markers to help disentangle the heterogeneity seen in this patient population.
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Registered trials
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.