Evidence map›Paper›PMID 35740191›Full record

ArticleAntibiotics (Basel, Switzerland)2022

Clinical Determinants Predicting

Łukasz Lis, Andrzej Konieczny, Michał Sroka, Anna Ciszewska, Kornelia Krakowska, Tomasz Gołębiowski, Zbigniew Hruby

Open access · goldAbstract read
In one paragraph

Article in Antibiotics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 45% 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.

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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Molecular epidemiology ofMicrobiology spectrum · 2026
    Article
  2. Introduction to the Special Issue onAntibiotics (Basel, Switzerland) · 2024
    Article
  3. Article
  4. Microorganisms · 2022
    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

7 authors at 4 institutions in 1 country.

Łukasz LisResearch and Development Center, Department of Nephrology, Provincial Specialist Hospital, Kamienskiego 73a, 51-124 Wroclaw, Poland.ORCID 0000-0002-4075-6924
Andrzej KoniecznyDepartment of Nephrology and Transplantation Medicine, Wroclaw Medical University, Borowska 213, 50-556 Wroclaw, Poland.ORCID 0000-0002-4966-9771
Michał SrokaResearch and Development Center, Department of Nephrology, Provincial Specialist Hospital, Kamienskiego 73a, 51-124 Wroclaw, Poland.
Anna CiszewskaDepartment of Intensive Care and Anesthesiology, Provincial Specialist Hospital, Kamienskiego 73a, 51-124 Wroclaw, Poland.
Kornelia KrakowskaDepartment of Nephrology and Transplantation Medicine, Wroclaw Medical University, Borowska 213, 50-556 Wroclaw, Poland.
Tomasz GołębiowskiDepartment of Nephrology and Transplantation Medicine, Wroclaw Medical University, Borowska 213, 50-556 Wroclaw, Poland.ORCID 0000-0001-5477-2020
Zbigniew HrubyResearch and Development Center, Department of Nephrology, Provincial Specialist Hospital, Kamienskiego 73a, 51-124 Wroclaw, Poland.
Wroclaw Medical University · PLŁukasiewicz Research Network – PORT Polish Center for Technology Development · PLUniversity of Opole · PLWroclaw Research Centre EIT+ (Poland) · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The majority of recently published studies indicate a greater incidence rate and mortality due to Clostridioides difficile infection (CDI) in patients with chronic kidney disease (CKD). The aim of this study was to assess the clinical determinants predicting CDI among hospitalized patients with CKD and refine methods of prevention. We evaluated the medical records of 279 patients treated at a nephrological department with symptoms suggesting CDI, of whom 93 tested positive for CDI. The survey showed that age, poor kidney function, high Padua prediction score (PPS) and patients' classification of care at admission, treatment with antibiotics, and time of its duration were significantly higher or more frequent among patients who suffered CDI. Whereas BMI, Norton scale (ANSS) and serum albumin concentration were significantly lowered among CDI patients. In a multivariate analysis we proved the stage of CKD and length of antibiotics use increased the risk of CDI, whereas higher serum albumin concentration and ANSS have a protective impact.

Indexed as

chronic kidney diseaseClostridioides difficilemalnutritionpseudomembranous enterocolitis

Identifiers

PMID35740191
PMCPMC9220164
OpenAlexW4281660433

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.