Evidence map›Paper›PMID 40612994›Full record

SynthesisFrontiers in psychology2025

A meta-analysis on the effectiveness of Traditional Chinese Medicine Emotional Nursing in improving anxiety and depression symptoms in elderly patients.

Chunxiao Zhao, Xuelian Chen, Aihua Zhang, Ningya Huo, Siyao Yu, Lizu Lai, Jing Liu

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Chunxiao Zhao *School of Medical Humanities, Hubei University of Chinese Medicine, Wuhan, Hubei, China.
Xuelian Chen *School of Medical Humanities, Hubei University of Chinese Medicine, Wuhan, Hubei, China.
Aihua ZhangSchool of Medical Humanities, Hubei University of Chinese Medicine, Wuhan, Hubei, China.
Ningya HuoSchool of Medical Humanities, Hubei University of Chinese Medicine, Wuhan, Hubei, China.
Siyao YuSchool of Medical Humanities, Hubei University of Chinese Medicine, Wuhan, Hubei, China.
Lizu LaiSchool of Medical Humanities, Hubei University of Chinese Medicine, Wuhan, Hubei, China.
Jing LiuSchool of Medical Humanities, Hubei University of Chinese Medicine, Wuhan, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study used meta-analysis to explore the effectiveness of Traditional Chinese Medicine (TCM) emotional nursing intervention on the anxiety and depression of the elderly and factors that might influence this intervention, so as to provide reference for optimizing the effect of TCM emotional nursing for the elderly patients. Methods: Randomized controlled trials of TCM emotional nursing on improving anxiety and depression symptoms in elderly patients were searched from PubMed, Web of Science, Cochrane Library, Science Direct, China National Knowledge Infrastructure (CNKI), Wanfang Standards Database, and CQVIP. The Cochrane Collaboration' s tool was adopted for assessing risk of bias of studies, and CMA 3.3 was used for statistical analysis. Results: Thirty-nine literatures and 40 studies finally met the study standards, including 4,425 patients. The results showed that TCM emotional nursing could improve the anxiety and depression symptoms of the elderly patients with a significant large effect (anxiety: Conclusion: Traditional Chinese Medicine emotional nursing can significantly improve the symptoms of anxiety and depression in the elderly. Future studies may further focus on the moderators of the Effectiveness of TCM emotional nursing intervention, and optimize the intervention plan.

Indexed as

anxietydepressionmeta-analysisTCM emotional nursingthe elderly

Identifiers

PMID40612994
PMCPMC12222280

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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.