Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 233

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

Fecal Microbiota Transplantation: An Update on Clinical Practice

Open access
Kim, Kyeong Ok, Gluck, Michael·2019·Clinical Endoscopy

Abstract

Fecal microbiota transplantation (FMT) is an infusion in the colon, or the delivery through the upper gastrointestinal tract, of stool from a healthy donor to a recipient with a disease believed to be related to an unhealthy gut microbiome. FMT has been successfully used to treat recurrent Clostridium difficile infection (rCDI). The short-term success of FMT in rCDI has led to investigations of its application to other gastrointestinal disorders and extra-intestinal diseases with presumed gut dysbiosis. Despite the promising results of FMT in these conditions, several barriers remain, including determining the characteristics of a healthy microbiome, ensuring the safety of the recipient with respect to long-term outcomes, adequate monitoring of the recipient of fecal material, achieving high-quality control, and maintaining reasonable costs. For these reasons, establishing uniform protocols for stool preparation, finding the best modes of FMT administration, maintaining large databases of donors and recipients, and assuring that oral ingestion is equivalent to the more widely accepted colonoscopic infusion are issues that need to be addressed.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.5946/ce.2019.009

Cites

12 of 12 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 12 references

Cited by

See all 233

Metadata

Authors
Kim, K. O., & Gluck, M.
Venue
Clinical Endoscopy
Published
2019-03-31
Volume
52
Issue
2
Pages
137-143
ISSN
  • 2234-2400 (ISSN-L)
  • 2234-2443
OpenAlex
W2922746297
Cited by
233
References
12
FWCI
18.70
Type
journal article
Language
en
Open access
gold

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Fecal Microbiota Transplantation: An Update on Clinical Practice. https://app.cochat.ai/papers/10.5946/ce.2019.009
The paper
Kim, K. O., & Gluck, M. (2019). Fecal Microbiota Transplantation: An Update on Clinical Practice. Clinical Endoscopy. https://doi.org/10.5946/ce.2019.009

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.