Evidence map›Paper›PMID 40201444›Full record

ReviewFrontiers in microbiology2025

Fecal microbiota transplantation: application scenarios, efficacy prediction, and factors impacting donor-recipient interplay.

Yaxin Liu, Xinru Li, Yuchao Chen, Qinyan Yao, Jinjie Zhou, Xiaoxuan Wang, Qingguo Meng, Jiaxuan Ji, Zihan Yu, Xin Chen

Abstract readReview
In one paragraph

Review in Frontiers in microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

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

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Review
  8. Review
  9. Review
  10. Article
  11. Review
  12. Review
  13. Review
  14. Article
  15. Review
  16. Review
  17. Article
  18. Review
  19. 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

10 authors.

Yaxin Liu *Department of Gastroenterology and Hepatology, Tianjin Medical University General Hospital, Tianjin, China.
Xinru Li *Department of Gastroenterology and Hepatology, Tianjin Medical University General Hospital, Tianjin, China.
Yuchao Chen *Department of Gastroenterology and Hepatology, Tianjin Medical University General Hospital, Tianjin, China.
Qinyan YaoDepartment of Gastroenterology and Hepatology, Tianjin Medical University General Hospital, Tianjin, China.
Jinjie ZhouDepartment of Gastroenterology and Hepatology, Tianjin Medical University General Hospital, Tianjin, China.
Xiaoxuan WangDepartment of Gastroenterology and Hepatology, Tianjin Medical University General Hospital, Tianjin, China.
Qingguo MengDepartment of Gastroenterology and Hepatology, Tianjin Medical University General Hospital, Tianjin, China.
Jiaxuan JiDepartment of Gastroenterology and Hepatology, Tianjin Medical University General Hospital, Tianjin, China.
Zihan YuDepartment of Gastroenterology and Hepatology, Tianjin Medical University General Hospital, Tianjin, China.
Xin ChenDepartment of Gastroenterology and Hepatology, Tianjin Medical University General Hospital, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fecal microbiota transplantation (FMT) represents a therapeutic approach that directly regulates the gut microbiota of recipients, normalizes its composition and reaping therapeutic rewards. Currently, in addition to its general application in treating

Indexed as

donor-recipient interplayfecal microbiota transplantationgut microbiotaprediction modelsafety and efficiency

Identifiers

PMID40201444
PMCPMC11975908

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.