Evidence map›Paper›PMID 21174190›Full record

ReviewDer Urologe. Ausg. A2011

[Urinary tract infections after kidney transplantation: Essen algorithm for calculated antibiotic treatment].

S Becker, O Witzke, H Rübben, A Kribben

Abstract readEnglish AbstractReview
PubMed Publisher
In one paragraph

Review in Der Urologe. Ausg. A, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact, top 99% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

4 authors at 3 institutions in 1 country.

S BeckerKlinik für Nephrologie, Zentrum für Innere Medizin, Universitätsklinikum Essen, Universität Duisburg-Essen, Hufelandstraße 55, 45122 Essen, Deutschland. stefan.becker@uk-essen.de
O Witzke
H Rübben
A Kribben
Essen University Hospital · DEKlinik und Poliklinik für Urologie · DEUniversity of Duisburg-Essen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urinary tract infections are the most common infection early after transplantation and can affect long-term graft function. Any urinary tract infection in renal transplant recipients should be seen as "complex" with regard to consequences for diagnosis and therapy. The increase in resistance to anti-infective agents seen among uropathogens is one of the central therapeutic problems. This means for routine clinical practice that contact isolation precautions should be consistently implemented for affected patients and the duration of introducing urinary tract instruments should be minimized. Detection of pyuria and urine cultures are required to confirm infection, to identify the corresponding pathogen, and to review the antibiotic therapy.The "Essen algorithm for calculated antibiotic treatment of urinary tract infections in renal transplant patients" takes into consideration the high incidence of Gram-negative pathogens in general and the increased incidence of enterococci in the early phase after transplantation. Within the first 2 months after transplantation quinolones should be used and later cephalosporins. In case of urosepsis, calculated antibiotic therapy should cover problematic Gram-negative pathogens such as pseudomonades. The calculated antibiotic therapy should be administered intravenously in severe infections. In any case the local and regional antibiotic susceptibility should be taken into account when deciding on the calculated antibiotic therapy.

Indexed as

AlgorithmsDecision Support Systems, ClinicalAnti-Bacterial AgentsDose-Response Relationship, DrugDrug Therapy, Computer-AssistedFemaleHumansKidney TransplantationMaleTreatment OutcomeUrinary Tract InfectionsAnti-Bacterial Agents

Identifiers

PMID21174190
OpenAlexW128697044

What OpenQuestion holds

Textmetadata
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.