Evidence map›Paper›PMID 40297025›Full record

SynthesisFrontiers in public health2025

Association of malnutrition with cognitive frailty in China: a systematic review and meta-analysis.

Zhiren Zhu, Huiping Xue, Chunxia Huang, Jie Zhang, Jinheng Tu, Kenan Ling, Dongmei Gu

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. 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

7 authors.

Zhiren Zhu *School of Nursing and Rehabilitation, Nantong University, Nantong, China.
Huiping Xue *Nursing Department, Affiliated Hospital of Nantong University, Nantong, China.
Chunxia HuangNursing Department, Affiliated Hospital of Nantong University, Nantong, China.
Jie ZhangSchool of Nursing and Rehabilitation, Nantong University, Nantong, China.
Jinheng TuSchool of Nursing and Rehabilitation, Nantong University, Nantong, China.
Kenan LingSchool of Nursing and Rehabilitation, Nantong University, Nantong, China.
Dongmei GuSchool of Nursing and Rehabilitation, Nantong University, Nantong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: With an aging population, China faces a growing burden of age-related health conditions, including cognitive frailty and malnutrition. This study aimed to investigate the current status of malnutrition in individuals with cognitive frailty in China and to assess the association between the two conditions. Methods: We conducted a comprehensive search of databases including PubMed, Web of Science, Scopus, Embase, Cochrane Library, CNKI, Wanfang, and Weipu up to April 26, 2024. Meta-analysis was performed using Stata/MP 16, with sensitivity and subgroup analyses to explore heterogeneity, and Begg's and Egger's tests to assess publication bias, applying the trim-and-fill method for correction. Results: Of 2,077 records, 19 were included. The pooled prevalence of cognitive frailty was 26% (95% confidence interval [CI]: 0.17-0.36, Conclusion: Malnutrition is prevalent among individuals with cognitive frailty in China. Given its higher prevalence in community settings than in hospitals, early screening and specific interventions are crucial to address this issue.

Indexed as

Cognitive DysfunctionFrailtyMalnutritionAgedChinaFemaleHumansMalePrevalenceChinacognitive frailtymalnutritionmeta-analysisolder adultsystematic review

Identifiers

PMID40297025
PMCPMC12034679

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.