Evidence map›Paper›PMID 37237779›Full record

ArticleAntibiotics (Basel, Switzerland)2023

Preoperative Decolonization Appears to Reduce the Risk of Infection in High-Risk Groups Undergoing Total Hip Arthroplasty.

Markus Scharf, Dominik Emanuel Holzapfel, Marianne Ehrnsperger, Joachim Grifka

Open access · goldAbstract read
In one paragraph

Article in Antibiotics (Basel, Switzerland), 2023. 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
3.5field-weighted citation impact, top 7% 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, 11 citations in OpenAlex.

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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.

Markus ScharfDepartment of Orthopaedic Surgery, Medical Center, Regensburg University, Kaiser-Karl-V.-Allee 3, 93077 Bad Abbach, Germany.
Dominik Emanuel HolzapfelDepartment of Orthopaedic Surgery, Medical Center, Regensburg University, Kaiser-Karl-V.-Allee 3, 93077 Bad Abbach, Germany.
Marianne EhrnspergerDepartment of Orthopaedic Surgery, Medical Center, Regensburg University, Kaiser-Karl-V.-Allee 3, 93077 Bad Abbach, Germany.
Joachim GrifkaDepartment of Orthopaedic Surgery, Medical Center, Regensburg University, Kaiser-Karl-V.-Allee 3, 93077 Bad Abbach, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPeriprosthetic infections represent a major challenge for doctors and patients. The aim of this study was therefore to determine whether the risk of infection can be positively influenced by preoperative decolonization of the skin and mucous membranes.

methodsIn a retrospective analysis of 3082 patients who had undergone THA between 2014 and 2020, preoperative decolonization with octenidine dihydrochlorid was performed in the intervention group. In an interval of 30 days, soft tissue and prosthesis infections were detected, and an evaluation between the study groups was made by using a bilateral

resultsPatients treated preoperatively with the octenidine dihydrochloride protocol showed lower early infection rates. In the group of intermediate- and high-risk patients (ASA 3 and higher), there was generally a significantly increased risk. The risk of wound or joint infection within 30 days was 1.99% higher for patients with ASA 3 or higher than for patients with standard care (4.11% [13/316] vs. 2.02% [10/494];

conclusionPreoperative decolonization appears to show a benefit, especially for the high-risk groups, despite the fact that in this patient group there is a high potential for resulting complications.

Indexed as

octenidine dihydrochlorideperiprosthetic joint infectionpreoperative decolonizationtotal hip arthroplasty

Identifiers

PMID37237779
PMCPMC10215900
OpenAlexW4378515811

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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.