Evidence map›Paper›PMID 38639782›Full record

ReviewUrologie (Heidelberg, Germany)2024

[Urosepsis: pathophysiology, diagnosis, and management-an update].

Fabian Stangl, Florian Wagenlehner, Laila Schneidewind, Jennifer Kranz

Abstract readReview
PubMed Publisher
In one paragraph

Review in Urologie (Heidelberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

5 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. [Analysis of risk factors and construction of a predictive model for perioperative urosepsis].Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2026
    Article
  4. Article
  5. 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 2 countries.

Fabian StanglUniversitätsklinik für Urologie, Universität Bern, Bern, Schweiz.
Florian WagenlehnerKlinik für Urologie, Kinderurologie und Andrologie, Justus-Liebig-Universität Gießen, Gießen, Deutschland.
Laila SchneidewindUniversitätsklinik für Urologie, Universität Bern, Bern, Schweiz.
Jennifer KranzKlinik für Urologie und Kinderurologie, Uniklinik RWTH Aachen, Pauwelsstr. 30, 52074, Aachen, Deutschland. jkranz@ukaachen.de.
University of Bern · CHUniversitätsklinikum Aachen · DEUniversity of Giessen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urinary tract infections vary widely in their clinical spectrum, ranging from uncomplicated cystitis to septic shock. Urosepsis accounts for 9-31% of all cases of septicemia and is often associated with nosocomial infections. A major risk factor for urosepsis is the presence of obstructive uropathy, caused by conditions such as urolithiasis, tumors, or strictures. The severity and course of urosepsis depend on both the virulence of the pathogen and the patient's specific immune response. Prompt therapy, including antimicrobial treatment and eradication of the infection source, along with supportive measures for circulatory and respiratory stabilization, and adjunctive therapies such as hemodialysis and glucocorticoid therapy, is crucial. Due to demographic changes, an increase in cases of urosepsis is expected-thus, it is of utmost importance for urologists to be familiar with targeted diagnostics and effective treatment.

Indexed as

SepsisUrinary Tract InfectionsAnti-Bacterial AgentsHumansRisk FactorsAnti-Bacterial AgentsAntibioticsBlood cultureNosocomial infectionsSepticemiaUrinary tract infection

Identifiers

PMID38639782
OpenAlexW4394962062

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.