Evidence map›Paper›PMID 41069050›Full record

ArticleThe clinical respiratory journal2025

Risk Factors and Outcomes of Clostridioides difficile Infection in Respiratory Intensive Care Unit Patients.

Tingting Hou, Yifang Huang, Jinjun Jiang, Yuanlin Song, Shujing Chen

Abstract read
In one paragraph

Article in The clinical respiratory journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Tingting HouDepartment of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.
Yifang HuangDepartment of Biostatistics, Key Laboratory for Health Technology Assessment, National Commission of Health, Key Laboratory of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, Shanghai, China.
Jinjun JiangDepartment of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.
Yuanlin SongDepartment of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.
Shujing ChenDepartment of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.ORCID https://orcid.org/0000-0002-0855-9218

Funding

Science and Technology Commission of Shanghai Municipality 20Z11901000
6 · The paper itself

Abstract

objectiveThis retrospective study aimed to investigate the risk factors and clinical outcomes of Clostridioides difficile infection (CDI) in critically ill patients admitted to the respiratory intensive care unit (RICU).

methodsWe enrolled adult patients who developed diarrhea during their stay in the RICU and underwent C. difficile toxin testing. Patients were stratified into two groups based on test results: CDI group and Clostridioides difficile-negative diarrhea (CDN) group. Risk factors for CDI and clinical outcomes were compared between the two groups.

resultsThe incidence of CDI in RICU patients was 8.3%. Compared with the CDN group, the CDI group had significantly lower PaO

conclusionIn this study, male sex was independently associated with an increased risk of CDI. Although CDI did not significantly affect 60-day mortality, it was linked to prolonged RICU hospitalization.

Indexed as

Clostridioides difficileClostridium InfectionsDiarrheaRespiratory Care UnitsAdultAgedCritical IllnessFemaleHospital MortalityHumansIncidenceIntensive Care UnitsLength of StayMaleMiddle AgedRetrospective StudiesClostridioides difficile infectionMortalityrespiratory intensive care unitrisk factors

Identifiers

PMID41069050
PMCPMC12510892

What OpenQuestion holds

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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.