Evidence map›Paper›PMID 28539351›Full record

Trial reportGut2018

Bacteriophage transfer during faecal microbiota transplantation in

Tao Zuo, Sunny H Wong, Kelvin Lam, Rashid Lui, Kitty Cheung, Whitney Tang, Jessica Y L Ching, Paul K S Chan, Martin C W Chan, Justin C Y Wu and 4 more

2 registry-linked trialsOpen access · hybridAbstract readComparative StudyRandomized Controlled Trial
In one paragraph

Trial report in Gut, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 247 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
247citing papers in PubMed, 3 pooled it
22.0field-weighted citation impact, top 1% 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.

NCT02570477 naunknown statusnot on this map

Fecal Microbiota Transplantation (FMT) for Moderate to Severe Clostridium Difficile Infection (CDI): A Randomised Study With Concurrent Stool Microbiota Assessment (FMT-CDI-RCT Study)

TypeinterventionalSponsorChinese University of Hong KongRan2015 to 2024Enrolled30ConditionsClostridium Difficile InfectionArmsFecal Microbiota Transplantation, Vancomycin
NCT06992453 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Disentangling Microbiome Engraftment by Multi-omics of the Gut Ecosystem During Fecal Transplant

TypeinterventionalSponsorCatholic University of the Sacred HeartRan2026 to 2029Enrolled90ConditionsRecurrent C. Difficile (rCDI), Ulcerative Colitis (UC), Metabolic Syndrome (MetS)ArmsFecal microbiota transplantation (FMT)
3 · Its place in the literature

Who cites it

247 citing papers in PubMed, 3 syntheses or guidelines pooled it, 328 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Trial
  7. Trial
  8. Trial
  9. Review
  10. Review
  11. Review
  12. Review
  13. Article
  14. Review
  15. Alternating High-Fat and Polysaccharide Diets Modulates Gut Phage-Bacterial Interplay.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. Article

187 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 1 institution in 1 country.

Tao ZuoDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China.
Sunny H WongDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China.
Kelvin LamDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China.
Rashid LuiDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China.
Kitty CheungDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China.
Whitney TangDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China.
Jessica Y L ChingDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China.
Paul K S ChanDepartment of Microbiology, The Chinese University of Hong Kong, Hong Kong, China.
Martin C W ChanDepartment of Microbiology, The Chinese University of Hong Kong, Hong Kong, China.
Justin C Y WuDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China.
Francis K L ChanDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China.
Jun YuDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China.
Joseph J Y SungDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China.
Siew C NgDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China.
Chinese University of Hong Kong · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveFaecal microbiota transplantation (FMT) is effective for the treatment of recurrent

designUltra-deep metagenomic sequencing of virus-like particle preparations and bacterial 16S rRNA sequencing were performed on stool samples from 24 subjects with CDI and 20 healthy controls. We longitudinally assessed the virome and bacterial microbiome changes in nine CDI subjects treated with FMT and five treated with vancomycin. Enteric virome alterations were assessed in association with treatment response.

resultsSubjects with CDI demonstrated a significantly higher abundance of bacteriophage

conclusionsIn a preliminary study, CDI is characterised by enteric virome dysbiosis. Treatment response in FMT was associated with a high colonisation level of donor-derived TRIAL REGISTRATION NUMBER: NCT02570477.

Indexed as

BacteriophagesFecal Microbiota TransplantationAdultAgedAged, 80 and overAnti-Bacterial AgentsCase-Control StudiesClostridium InfectionsFemaleHumansMaleMiddle AgedTreatment OutcomeVancomycinAnti-Bacterial AgentsVancomycinBACTERIAL INFECTIONMUCOSAL INFECTION

Identifiers

PMID28539351
PMCPMC5868238
OpenAlexW2617130732

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.