Evidence map›Paper›PMID 40084003›Full record

ArticleHeliyon2025

Fecal microbiota transplantation in a patient hospitalized in the intensive care unit - Case report.

Katarzyna Oliwa-Libumska, Aleksandra Jaworska-Czerwinska, Malgorzata Mallek-Grabowska, Robert Wlodarski, Przemyslaw Zuratynski, Bartosz Kozlowski

Abstract readCase Reports
In one paragraph

Article in Heliyon, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

6 authors.

Katarzyna Oliwa-LibumskaAnaesthesiology and Intensive Care Unit, 10th Military Research Hospital and Polyclinic, Powstancow Warszawy 5, 85-681 Bydgoszcz, Poland.
Aleksandra Jaworska-CzerwinskaAnaesthesiology and Intensive Care Unit, 10th Military Research Hospital and Polyclinic, Powstancow Warszawy 5, 85-681 Bydgoszcz, Poland.
Malgorzata Mallek-GrabowskaAnaesthesiology and Intensive Care Unit, 10th Military Research Hospital and Polyclinic, Powstancow Warszawy 5, 85-681 Bydgoszcz, Poland.
Robert WlodarskiAnaesthesiology and Intensive Care Unit, 10th Military Research Hospital and Polyclinic, Powstancow Warszawy 5, 85-681 Bydgoszcz, Poland.
Przemyslaw ZuratynskiNicolaus Copernicus University in Torun, Collegium Medicum in Bydgoszcz, Faculty of Health Sciences, Department of Emergency Medical Services, M. Curie Sklodowskiej 9, 85-094 Bydgoszcz, Poland.
Bartosz KozlowskiAnaesthesiology and Intensive Care Unit, 10th Military Research Hospital and Polyclinic, Powstancow Warszawy 5, 85-681 Bydgoszcz, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clostridioides difficile infections are difficult and serious problem occurring in patients staying in intensive care units. In recent years, the number and severity of these infections, as well as the mortality rate, have been increasing, posing a serious epidemiological problem. This is caused, among other factors, by stressors, artificial nutrition, and sepsis, which lead to disturbances in the patients' microbiome. Basic method of treatment is antibiotic therapy, however some patients experience recurrences of the infection. Fecal Microbiota Transplantation (FMT) is one of the alternative methods used in treating recurring infections of Clostridioides difficile etiology (Clostridioides Difficile Infection, CDI). The presented case refers to a patient with severe pseudomembranous enterocolitis who underwent FMT twice. This report highlights the role of FMT in the treatment of severe Clostridioides difficile infections in critically ill patients.

Identifiers

PMID40084003
PMCPMC11903823

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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.