Evidence map›Paper›PMID 41694125›Full record

ReviewFrontiers in psychiatry2025

Efficacy effects of fecal microbiota transplantation on depressive symptoms: a meta-analysis based on randomized controlled trials.

Jiamin Fu, Yuchi Zhang, Jing Gao, Ming Lan, Zhixin Zhang, Ruiting Liang, Hongyun Zhou, Shirui Liu, Ziyi Zhou, Jinwan Zhao and 6 more

Abstract readReview
In one paragraph

Review in Frontiers in psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  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

16 authors.

Jiamin FuDepartment of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, China.
Yuchi ZhangDepartment of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, China.
Jing GaoGeneral Practice Clinic, Pujiang Community Health Service Center in Minhang District, Shanghai, China.
Ming LanDepartment of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, China.
Zhixin ZhangDepartment of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, China.
Ruiting LiangDepartment of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, China.
Hongyun ZhouDepartment of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences, Shanghai, China.
Shirui LiuDepartment of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences, Shanghai, China.
Ziyi ZhouDepartment of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences, Shanghai, China.
Jinwan ZhaoDepartment of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences, Shanghai, China.
Xing YuDepartment of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, China.
Yuewen LiuDepartment of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, China.
Peipei HanDepartment of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, China.
Xiaoyu ChenDepartment of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, China.
Cheng LinFujian Medical University, Fuzhou, Fujian, China.
Qi GuoDepartment of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The gut microbiota plays a crucial role in the bidirectional communication between the gut and the brain. Although there has been much discussion in recent years on the link between depression and fecal microbiota transplantation (FMT), its effectiveness in treating depression remains debatable. The purpose of this study was to examine if FMT alleviates depression or its symptoms and to examine the possible impacts of various demographic subgroups and supplementation techniques. Methods: A systematic search of articles in the database (PubMed, EMBASE, Web of Science, and Cochrane libraries) before March 2025. The Revman 5.3 software was used to incorporate standardized mean difference (SMD) and assess quality of evidence using recommended grading assessment, development and evaluation tools to investigate whether FMT efficacy on depressive symptoms or depression. Results: This meta-analysis included seven studies involving 235 subjects, and the results did not support a significant treatment effect of FMT on depression [SMD: -0.10; 95%CI: (-0.60,0.41); p = 0.71]. Subgroup analysis showed the correlation between the intervention effect of FMT and confirmed depression at baseline, intervention dose, donor source, repeated route of drug administration, and dietary habits of subjects. Conclusions: There is insufficient evidence to support a significant efficacy of FMT on depressive symptoms, but subgroup analyses suggest that FMT may have a better antidepressant effect in the population with confirmed depression, and therefore more randomized controlled trials are necessary to validate the association between FMT and depressive symptoms.

Indexed as

depressionefficacyfecal microbiota transplantationgastrointestinal microbiotaintestinal microflorameta-analysis

Identifiers

PMID41694125
PMCPMC12895053

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.