Evidence map›Paper›PMID 32843751›Full record

ReviewNature reviews. Urology2020

Epidemiology, definition and treatment of complicated urinary tract infections.

Florian M E Wagenlehner, Truls E Bjerklund Johansen, Tommaso Cai, Bela Koves, Jennifer Kranz, Adrian Pilatz, Zafer Tandogdu

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Urology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 191 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
191citing papers in PubMed, 6 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

191 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Assessing the economic burden of complicated urinary tract infection: A systematic literature review.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
    Pooled it
  2. Global prevalence of fluoroquinolone resistance inFrontiers in cellular and infection microbiology · 2026
    Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Trial
  8. Trial
  9. Trial
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Observational
  16. Article
  17. Article
  18. Review
  19. Therapeutic strategies for multi-resistantJAC-antimicrobial resistance · 2026
    Review
  20. Article

131 more citing papers are in PubMed but not listed here.

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

7 authors.

Florian M E WagenlehnerClinic for Urology, Pediatric Urology and Andrology, Justus-Liebig-University Giessen, Giessen, Germany. florian.wagenlehner@chiru.med.uni-giessen.de.
Truls E Bjerklund JohansenDepartment of Urology, Oslo University Hospital, Oslo, Norway.
Tommaso CaiDepartment of Urology, Santa Chiara Regional Hospital, Trento, Italy.ORCID 0000-0002-7234-3526
Bela KovesDepartment of Urology, South-Pest Teaching Hospital, Budapest, Hungary.ORCID 0000-0001-6886-0750
Jennifer KranzDepartment of Urology and Paediatric Urology, St. Antonius Hospital, Eschweiler, Germany.
Adrian PilatzClinic for Urology, Pediatric Urology and Andrology, Justus-Liebig-University Giessen, Giessen, Germany.ORCID 0000-0001-8072-1841
Zafer TandogduDepartment of Urology, Oslo University Hospital, Oslo, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

UTIs are amongst the most frequent bacterial infections. However, the clinical phenotypes of UTI are heterogeneous and range from rather benign, uncomplicated infections to complicated UTIs (cUTIs), pyelonephritis and severe urosepsis. Stratification of patients with UTIs is, therefore, important. Several classification systems exist for the description and classification of UTIs, with the common rationale that cUTIs have a higher risk of recurrence or chronification, progression or severe outcome than uncomplicated UTIs. The pathophysiology and treatment of cUTIs and pyelonephritis are driven more by host factors than by pathogen attributes. cUTIs and pyelonephritis are associated with high antimicrobial resistance rates among causative pathogens. However, antimicrobial resistance rates can differ substantially, depending on the population being studied and whether the data being analysed are from surveillance studies, registry data or interventional studies, in which specific inclusion and exclusion criteria are used for patient selection. For example, antibiotic resistance rates are higher in patients with urosepsis than in those with less severe infections. Thus, treatment outcomes differ substantially among studies, ranging from 50% to almost 100% clearance of infection, depending on the patient population analysed, the UTI entities included and the primary outcome of the study. Pyelonephritis and cUTIs have emerged as infection models for the study of novel antibiotics, including extensive investigation of novel substances active against Gram-negative bacteria.

Indexed as

Anti-Infective AgentsHumansUrinary Tract InfectionsAnti-Infective Agents

Identifiers

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.