Evidence map›Paper›PMID 39789762›Full record

ArticleBrain and behavior2025

Risk Factors Influencing Cognitive Function in Elderly Patients With Late-Life Depression: A Scoping Review.

Ping Jiang, Yunfeng Gao, Lin Wang, Xiaojun Shao, Lei Zhang, Gang Zhu, Li Duan

Abstract readScoping Review
In one paragraph

Article in Brain and behavior, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

7 authors.

Ping Jiang *Department of Health Management Research, Chengde Medical University, Chengde, China.
Yunfeng Gao *Department of Health Management Research, Chengde Medical University, Chengde, China.
Lin WangDepartment of Health Management Research, Chengde Medical University, Chengde, China.
Xiaojun ShaoDepartment of Psychiatry, the First Affiliated Hospital of China Medical University, Shenyang, China.
Lei ZhangDepartment of Health Management Research, Chengde Medical University, Chengde, China.
Gang ZhuDepartment of Psychiatry, the First Affiliated Hospital of China Medical University, Shenyang, China.ORCID https://orcid.org/0009-0005-5063-3839
Li DuanDepartment of Health Management Research, Chengde Medical University, Chengde, China.ORCID https://orcid.org/0000-0001-6967-8336

Funding

National Natural Science Foundation of China 72404042the Graduate Student Innovation Ability Training Funding of Hebei Province 2024001the Graduate Student Innovation Ability Training Funding of Hebei Province CXZZSS2024123The medical science research project of Hebei Provincial Health Commission 20240811The medical science research project of Hebei Provincial Health Commission 20241909the Social Science Federation Project of Liaoning Province 2024lslybhzkt-18the Social Science Foundation of Hebei Province HB24GL031
6 · The paper itself

Abstract

backgroundIn recent years, cognitive impairment has emerged as a pivotal symptom in elderly patients with depression, exerting a substantial impact on the course and prognosis of diseases. Moreover, it persists even following remission from depression during the rehabilitation period. However, there remains an incomplete understanding of the relevant influencing factors for cognitive impairment in elderly depressed patients, which seriously impedes the development of risk prediction models and the subsequent research on precision intervention programs.

objectiveThe purpose of this study is to examine the current state of negative influencing factors and assessment tools for cognitive impairment in patients with late-life depression (LLD), thereby providing a theoretical framework for the construction of subsequent targeted intervention programs.

methodsThe search strategy employed in this study followed an evidence-based approach, utilizing a systematic scoping review to thoroughly explore six English and four Chinese databases up until November 2023. Two researchers independently conducted article screening and employed thematic analysis to categorize the results into themes.

resultsFollowing two rounds of rigorous screening conducted by the evidence-based research team, data were meticulously extracted and succinctly summarized from five distinct themes encompassing socio-demographic, physiological, psychological, genetic, and other related factors. In addition, a comprehensive compilation of 19 diverse assessment tools was undertaken. Ultimately, a total of 22 articles met the eligibility criteria for inclusion in this study. These comprised five longitudinal studies, nine pathological controlled studies, five cross-sectional studies, two cohort studies, and one randomized controlled study.

conclusionCognitive dysfunction is an important symptom of LLD, which seriously affects the survival of patients. At present, the research on its influencing factors mainly includes socio-demographic, physiological, psychological, genetic, and other related factors. There have been existing cognitive function assessment tools specifically for those 18- to 65-year-old patients of major depressive disorder, but there is still a lack of reliability and validity tests in LLD.

Indexed as

Cognitive DysfunctionDepressionAgedCognitionHumansRisk Factorsassessment toolscognitive dysfunctioninfluencing factorslate‐life depressionscoping review

Identifiers

PMID39789762
PMCPMC11726643

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.