Evidence map›Paper›PMID 41907793›Full record

ArticleIndian journal of psychological medicine2026

A Cross-sectional Case-control Study on Metacognition, Neurocognitive Functions, and Quality of Life Among Older Adults with Depressive Disorder.

Srishti Sahu, Shweta Singh, Rakesh Kumar Tripathi, Shailendra Mohan Tripathi, Anil Nischal

Abstract read
In one paragraph

Article in Indian journal of psychological medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Srishti SahuPGIMER, Chandigarh, India.ORCID https://orcid.org/0009-0005-2777-3761
Shweta SinghDept. of Psychiatry, King George's Medical University, Lucknow, Uttar Pradesh, India.ORCID https://orcid.org/0000-0001-7469-5114
Rakesh Kumar TripathiDept. of Geriatric Mental Health, King George's Medical University, Lucknow, Uttar Pradesh, India.
Shailendra Mohan TripathiDept. of Geriatric Mental Health, King George's Medical University, Lucknow, Uttar Pradesh, India.ORCID https://orcid.org/0000-0002-2134-5310
Anil NischalDept. of Psychiatry, King George's Medical University, Lucknow, Uttar Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Geriatric depression is a prevalent mental health concern that impairs daily functioning, quality of life (QoL), and cognitive performance. Maladaptive metacognitive beliefs and executive dysfunction are hypothesized to contribute to depressive symptomatology in older adults. Methods: Participants were assessed using the Metacognitions Questionnaire-30 (MCQ-30), the Indian Council of Medical Research Neurocognitive Toolbox (verbal episodic memory, verbal fluency, and set-shifting), and World Health Organization Quality of Life-BREF (WHOQOL-BREF). Depression severity and suicidality were measured using the Geriatric Depression Scale-15 (GDS-15) and the Columbia-Suicide Severity Rating Scale (C-SSRS), respectively. Group differences were analyzed using Mann-Whitney Results: Compared to controls, older adults with depression showed higher negative beliefs about uncontrollability and danger, which significantly predicted depression (OR = 1.81, Conclusion: Maladaptive metacognitive beliefs and executive dysfunction are associated with geriatric depression. Interventions integrating metacognitive therapy (MCT) with cognitive flexibility and verbal fluency training may improve emotional well-being, functional independence, and QoL in older adults.

Indexed as

Geriatric depressionmetacognitionneurocognitive functionsolder adultsquality of life

Identifiers

PMID41907793
PMCPMC13021540

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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.