Evidence map›Paper›PMID 33025113›Full record

ReviewDer Urologe. Ausg. A2020

[Complicated urinary tract infections].

J Kranz, F M E Wagenlehner, L Schneidewind

Abstract readReview
PubMed Publisher
In one paragraph

Review in Der Urologe. Ausg. A, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
2.0field-weighted citation impact, top 12% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. [Urological emergency management : Detection and treatment].Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2021
    Article
  10. 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

3 authors at 3 institutions in 1 country.

J KranzKlinik für Urologie und Kinderurologie, St.-Antonius Hospital gGmbH, Akademisches Lehrkrankenhaus der RWTH Aachen, Dechant-Deckers-Str. 8, 52249, Eschweiler, Deutschland. Jennifer.kranz@sah-eschweiler.de.
F M E WagenlehnerKlinik und Poliklinik für Urologie, Kinderurologie und Andrologie, Universitätsklinikum Gießen und Marburg GmbH, Justus-Liebig-Universität Gießen, Gießen, Deutschland.
L SchneidewindUrologische Klinik und Poliklinik, Universitätsmedizin Rostock, Rostock, Deutschland.
RWTH Aachen University · DEUniversitätsklinikum Gießen und Marburg · DEUniversitätsmedizin Rostock · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urinary tract infections (UTIs) are among the most common bacterial infections in Germany, both in outpatient and inpatient settings. The clinical spectrum is heterogeneous and ranges from benign, often self-limiting, uncomplicated infections to complicated urinary tract infections (cUTIs) with life-threatening courses. Complicated urinary tract infections have a higher risk of chronicity, recurrence and/or progression than uncomplicated infections and may be associated with severe disease progression. Stratification of patients with urinary tract infections is, therefore, of utmost importance. Host factors rather than pathogen attributes determine the pathophysiology and therapy of complicated urinary tract infections and pyelonephritis. Complicated UTIs and pyelonephritis are also associated with high rates of antimicrobial resistance in the causative pathogens, so they should be given particular emphasis.

Indexed as

Bacterial InfectionsPyelonephritisUrinary Tract InfectionsAnti-Bacterial AgentsGermanyHumansAnti-Bacterial AgentsAntimicrobial resistanceMicroorganismsPyelonephritisStratificationUropathogens

Identifiers

PMID33025113
OpenAlexW3092590994

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.