Evidence map›Paper›PMID 36472435›Full record

SynthesisMicrobiology spectrum2023

A Matching Strategy To Guide Donor Selection for Ulcerative Colitis in Fecal Microbiota Transplantation: Meta-Analysis and Analytic Hierarchy Process.

Bangzhou Zhang, Luxi Yang, Hanbing Ning, Man Cao, Zhangran Chen, Qiongyun Chen, Guanghui Lian, Hailing Tang, Qizhi Wang, Junping Wang and 11 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Microbiology spectrum, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
5.0field-weighted citation impact, top 3% of its field
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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it, 37 citations in OpenAlex.

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  14. Advances in Fecal Microbiota Transplantation for Gut Dysbiosis-Related Diseases.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
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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

21 authors at 13 institutions in 1 country.

Bangzhou Zhang *School of Life Sciences, Xiamen University, Xiamen, China.ORCID 0000-0003-4291-7514
Luxi Yang *School of Life Sciences, Xiamen University, Xiamen, China.
Hanbing Ning *Department of Digestive Diseases, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Man CaoXiamen Treatgut Biotechnology Co., Ltd., Xiamen, China.
Zhangran ChenSchool of Medicine, Xiamen University, Xiamen, China.
Qiongyun ChenSchool of Medicine, Xiamen University, Xiamen, China.
Guanghui LianDepartment of Gastroenterology, Xiangya Hospital, Changsha, China.
Hailing TangDepartment of Gastroenterology, Xi'an Central Hospital, Xi'an, China.
Qizhi WangDepartment of Gastroenterology, The First Affiliated Hospital of Bengbu Medical College, Bengbu, China.
Junping WangDepartment of Gastroenterology, The Affiliated People's Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Zhihui LinDepartment of Gastroenterology, Fujian Provincial Hospital, Fuzhou, China.
Jianbo WenDepartment of Gastroenterology, Pingxiang People's Hospital, Pingxiang, China.
Yuedong LiuDepartment of Gastroenterology, The Third Affiliated Hospital of Liaoning University of Traditional Chinese Medicine, Shenyang, China.
Ji XuanDepartment of Gastroenterology, Jinling Hospital, Nanjing, China.
Xuejun LiDepartment of Gastroenterology, The Second Affiliated Hospital of Anhui University of Traditional Chinese Medicine, Hefei, China.
Aiqiang LinXiamen Treatgut Biotechnology Co., Ltd., Xiamen, China.
Jianquan HeSchool of Medicine, Xiamen University, Xiamen, China.
Lei ZhangDivision of Gastroenterology, Union Hospital, Tongji Medical College, Huazhong University of Technology and Science, Wuhan, China.
Xiaohua HouDivision of Gastroenterology, Union Hospital, Tongji Medical College, Huazhong University of Technology and Science, Wuhan, China.
Qiang ZengHealth Management Institute, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China.
Chuanxing XiaoXiamen Treatgut Biotechnology Co., Ltd., Xiamen, China.
Xiamen University · CNUnion Hospital · CNAnhui University of Traditional Chinese Medicine · CNChinese PLA General Hospital · CNFirst Affiliated Hospital of Bengbu Medical College · CNFirst Affiliated Hospital of Zhengzhou University · CNFujian Provincial Hospital · CNFujian University of Traditional Chinese Medicine · CNJiangxi Pingxiang People's Hospital · CNLiaoning University of Traditional Chinese Medicine · CNNanjing General Hospital of Nanjing Military Command · CNShanxi Medical University · CNXian Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fecal microbiota transplantation (FMT) targeting gut microbiota has recently been applied to the treatment of ulcerative colitis (UC). However, preliminary trials showed that only a subset of patients responded to FMT, and the heterogeneity in donor gut microbiota probably played important roles in patients' responses, implying the significance of matching an appropriate donor to a specified patient. We developed a strategy to build a donor-recipient matching model to guide rational donor selection for UC in FMT. We collected and uniformly reanalyzed 656 fecal 16S rRNA gene sequencing samples (350 from UC patients and 306 from healthy subjects) from 9 studies. Significantly lower α-diversity indexes were observed in UC patients by random effects model. Thirty-four bacterial genera and 34 predicted pathways were identified with significant odds ratios and classification potentials for UC patients. Based on six bacterial indicators, including richness, overall distance, genera, and pathways (beneficial and harmful), the analytic hierarchy process-based donor-recipient matching model was set to rank and select appropriate donors for patients with UC. Finally, the model showed favorable classification powers (>70%) for FMT effectiveness in two previous clinical trials. This study revealed the dysbiosis of fecal bacterial diversity, composition, and predicted pathways of patients with UC by meta-analysis and hereby developed a donor-recipient matching strategy to guide donor selection for UC in FMT. This strategy can also be applied to other diseases associated with gut microbiota.

Indexed as

Colitis, UlcerativeFecal Microbiota TransplantationAnalytic Hierarchy ProcessBacteriaDonor SelectionFecesHumansProspective StudiesRNA, Ribosomal, 16STreatment OutcomeRNA, Ribosomal, 16S16S rRNA gene sequencinganalytic hierarchy processdonor-recipient matchingfecal microbiota transplantationmeta-analysisulcerative colitis

Identifiers

PMID36472435
PMCPMC9927247
OpenAlexW4310783929

What OpenQuestion holds

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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.