Evidence map›Paper›PMID 25490897›Full record

ArticleBMC infectious diseases2014

Clinical and treatment-related risk factors for nosocomial colonisation with extensively drug-resistant Pseudomonas aeruginosa in a haematological patient population: a matched case control study.

Matthias Willmann, Anna M Klimek, Wichard Vogel, Jan Liese, Matthias Marschal, Ingo B Autenrieth, Silke Peter, Michael Buhl

Abstract read
In one paragraph

Article in BMC infectious diseases, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Risk factors for hospitalized patients with resistant or multidrug-resistantAntimicrobial resistance and infection control · 2018
    Pooled it
  2. mBio · 2025
    Article
  3. Article
  4. Extensively drug-resistantFrontiers in microbiology · 2024
    Article
  5. Article
  6. Pathogens (Basel, Switzerland) · 2022
    Review
  7. XDR-Antibiotics (Basel, Switzerland) · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. How to manageDrugs in context · 2018
    Review
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

8 authors.

Matthias WillmannInstitute of Medical Microbiology and Hygiene, University of Tübingen, Tübingen, Germany. matthias.willmann@med.uni-tuebingen.de.
Anna M KlimekInstitute of Medical Microbiology and Hygiene, University of Tübingen, Tübingen, Germany. anna@klimek.de.
Wichard VogelMedical Center, Department of Hematology, Oncology, Immunology, Rheumatology & Pulmonology, University of Tübingen, Tübingen, Germany. wichard.vogel@med.uni-tuebingen.de.
Jan LieseInstitute of Medical Microbiology and Hygiene, University of Tübingen, Tübingen, Germany. jan.liese@med.uni-tuebingen.de.
Matthias MarschalInstitute of Medical Microbiology and Hygiene, University of Tübingen, Tübingen, Germany. matthias.marschal@med.uni-tuebingen.de.
Ingo B AutenriethInstitute of Medical Microbiology and Hygiene, University of Tübingen, Tübingen, Germany. ingo.autenrieth@med.uni-tuebingen.de.
Silke PeterInstitute of Medical Microbiology and Hygiene, University of Tübingen, Tübingen, Germany. silke.peter@med.uni-tuebingen.de.
Michael BuhlInstitute of Medical Microbiology and Hygiene, University of Tübingen, Tübingen, Germany. michael.buhl@med.uni-tuebingen.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to investigate risk factors for colonisation with extensively drug-resistant P. aeruginosa (XDR-PA) in immunocompromised patients and to build a clinical risk score (CRS) based on these results.

methodsWe conducted a matched case-control study with 31 cases and 93 controls (1:3). Cases were colonised with XDR-PA during hospitalisation. Independent risk factors were determined using a three step conditional logistic regression procedure. A CRS was built with respect to the corresponding risk fraction of each risk factor, and its discriminatory power was estimated by receiver operating characteristic (ROC) analysis.

resultsThe presence of a central venous catheter (OR 7.41, P = 0.0008), the presence of a urinary catheter (OR 21.04, P < 0.0001), CRP > 10 mg/dl (OR 7.36, P = 0.0015), and ciprofloxacin administration (OR 5.53, P = 0.025) were independent risk factors. The CRS exhibited a high discriminatory power, defining a high risk population with an approximately fourteen times greater risk for XDR-PA colonisation.

conclusionsUnnecessary use of antibiotics, particularly ciprofloxacin should be avoided, and a high standard of infection control measures must be achieved when using medical devices. A CRS can be used for adaptation of the active screening culture policy to the local setting.

Indexed as

Drug Resistance, Multiple, BacterialImmunocompromised HostAdultAgedAged, 80 and overCase-Control StudiesCross InfectionFemaleHematologic DiseasesHumansLogistic ModelsMaleMiddle AgedPseudomonas aeruginosaPseudomonas InfectionsRisk Factors

Identifiers

PMID25490897
PMCPMC4266216

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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.