Evidence map›Paper›PMID 42467378›Full record

ReviewEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2026

Does alternate-day bathing with 2% chlorhexidine improve clinical outcomes in critically ill patients? A systematic review and meta-analysis.

Edison Vitório de Souza Júnior, Diego Pires Cruz, Namie Okino Sawada

Abstract readReview
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In one paragraph

Review in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 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

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

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

3 authors.

Edison Vitório de Souza JúniorDepartment of Basic Nursing, School of Nursing, Federal University of Minas Gerais (EEUFMG), Belo Horizonte, Minas Gerais, Brazil. edison.vitorio@usp.br.ORCID http://orcid.org/0000-0003-0457-0513
Diego Pires CruzDepartment of Health, State University of Southwest Bahia (UESB), Jequié, Bahia, Brazil.ORCID http://orcid.org/0000-0001-9151-9294
Namie Okino SawadaSchool of Nursing, Federal University of Alfenas (UNIFAL), Alfenas, Minas Gerais, Brazil.ORCID http://orcid.org/0000-0002-1874-3481

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the effect of 2% chlorhexidine gluconate (2%CHG) bathing every other day on the number of infections, catheter-related bloodstream infections (CLABSI), average length of stay, and number of deaths.

methodsThis is a systematic review and meta-analysis. The searches and data extraction were performed by two independent authors in six databases in February 2026. We calculated Risk Ratios (RR) and Mean Difference (MD) with 95% confidence intervals for all analyses.

resultsThree studies were eligible for inclusion, comprising one randomized study, one quasi-experimental study, and one observational study, with a total population of 4,943 patients. There was no statistically significant difference between the 2% CHG and the control group for CLABSI (RR 0.98 [95% CI: 0.72; 1.31], p = 0.87, I

conclusionGiven that only three studies were available for inclusion and that the certainty of evidence ranged from low to very low, no definitive conclusions can currently be drawn regarding the effectiveness of alternate-day 2% CHG bathing in critically ill patients.

Indexed as

Critical illnessHygieneInfectionsMicrobiologyNursing carePatient safety

Identifiers

What OpenQuestion holds

Textmetadata
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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.