Evidence map›Paper›PMID 41184669›Full record

ArticleInternal and emergency medicine2026

Clostridioides difficile infection among patients with type 2 diabetes mellitus.

Sameer Kassem, Mohamed Atamna, Nili Stein, Adnan Zaina

Abstract read
In one paragraph

Article in Internal and emergency medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Sameer KassemFaculty of Medicine, Technion-Institute of Technology, Haifa, Israel.
Mohamed AtamnaDepartment of Internal Medicine, Carmel Medical Center, Ruth and Bruce Rappaport, Haifa, Israel.
Nili SteinDepartment of Community Medicine and Epidemiology, Statistical Unit, Lady Davis Carmel Medical Center, Ruth and Bruce Rappaport Faculty of Medicine, Technion-Institute of Technology, Haifa, Israel.
Adnan ZainaDepartment of Endocrinology and Metabolism, Clalit Medical Health Care Services, Haifa, Israel. zaina_adnan@yahoo.com.ORCID 0000-0001-7482-3104

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clostridioides difficile infection (CDI) poses a significant healthcare burden. Patients with diabetes mellitus (DM) are at increased risk of poor outcomes. This study aims to compare CDI outcomes, including mortality, in patients with and without DM. Retrospective data between (2014-2024) from Clalit Health Services (CHS) electronic database were analyzed. Among 2319 patients with confirmed CDI, 1005 had DM, and 1314 did not. DM patients were significantly older (74.5 ± 12.0 vs. 68.6 ± 20.4 years; p < 0.001), more likely to be male (p = 0.029), and disproportionately represented in lower socioeconomic status (SES) groups (30.1% vs. 22.4%; p < 0.001). Additionally, patients with DM had a significantly higher prevalence of comorbidities, with a median Charlson comorbidity Index (CCI) of 7.5 compared to 4.9 (p < 0.001), along with higher serum creatinine levels and lower albumin levels (p < 0.001). All-cause mortality was significantly higher in the DM group (p < 0.001). Deceased patients were notably older (p < 0.001), more likely male, and had lower SES (27% vs. 25.1%, p = 0.028). Patients with DM and CDI exhibited different comorbidities compared to those without diabetes. DM, advanced age, low SES, and male gender are linked to poorer outcomes, including mortality, among patients with CDI. These findings underscore the need for intensive management in patients with diabetes and CDI.

Indexed as

Clostridium InfectionsDiabetes Mellitus, Type 2AgedAged, 80 and overClostridioides difficileComorbidityFemaleHumansMaleMiddle AgedRetrospective StudiesRisk FactorsClostridioides difficile infectionComorbiditiesDiabetes mellitusMortality

Identifiers

PMID41184669
PMCPMC12948809

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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.