Evidence map›Paper›PMID 38798812›Full record

ReviewAlpha psychiatry2024

Frailty in the Elderly is Associated with an Increased Risk of Depression: A Systematic Review and Meta-Analysis.

Jianguo Zhou, Honghui Chen, Cong Lin

Abstract readReview
In one paragraph

Review in Alpha psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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

  1. Pooled it
  2. Article
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  4. Article
  5. Article
  6. Observational
  7. Article
  8. Article
  9. Potential value of oral Mogibacterium in major depressive disorder.Frontiers in cellular and infection microbiology · 2026
    Article
  10. Review
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  12. Article
  13. Article
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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

3 authors.

Jianguo ZhouDepartment of EICU, Wenzhou Central Hospital/The Dingli Clinical College of Wenzhou Medical University, Wenzhou, Zhejiang, China.ORCID 0009-0006-2008-4725
Honghui ChenDepartment of General Medical Practice, Wenzhou Central Hospital, Wenzhou, Zhejiang, China.ORCID 0009-0004-9219-6756
Cong LinDepartment of General Medical Practice, Wenzhou Central Hospital, Wenzhou, Zhejiang, China.ORCID 0009-0008-7993-2770

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The aim was to systematically review the association between depression and frailty in the elderly. Methods: Databases such as PubMed, Web of Science, Embase, and Scopus were searched for articles on the link between the risk of depression and frailty since the creation of the databases to September 1, 2023. A pair of investigators collaboratively conducted the screening, collected data, and evaluated the potential for bias in the included studies. R software was utilized for meta-synthesis. Results: Eight cohort studies comprising 13 043 participants and 14 854 senior individuals with depression were included. The meta-analysis showed that there was a significant connection regarding frailty and the incidence of depression among the elderly (Risk Ratio [RR] = 3.26, 95% Confidence Interval [CI]: 1.68-6.32). Subgroup evaluations showed that there was no association between frailty and depression in the community-dwelling elderly (RR = 2.28, 95% CI: 0.644-8.102) and in the elderly patients with depression assessed by Center for Epidemiological Studies Depression Scale (CES-D) (RR = 5.82, 95% CI: 0.481-70.526). Conclusion: Frailty is correlated with the risk of depression in the elderly. Frailty is a contributing factor to depression in the elderly.

Indexed as

associationcontributory factorFrailty syndromegeriatric depressionsystematic review

Identifiers

PMID38798812
PMCPMC11117430

What OpenQuestion holds

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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 OpenQuestion graph.