Evidence map›Paper›PMID 39817442›Full record

SynthesisJournal of comparative effectiveness research2025

Efficacy of treatment options for complicated urinary tract infections including acute pyelonephritis: a systematic literature review and network meta-analysis.

Florian Wagenlehner, Verónica Rico Caballero, Vikalp Maheshwari, Ayantika Biswas, Priyanka Saini, Juan Quevedo, Juergen Polifka, Leonardo Ruiz, Sandrine Cure

Abstract readSystematic ReviewNetwork Meta-Analysis
In one paragraph

Synthesis in Journal of comparative effectiveness research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Urinary bacterial count as a predictor of concomitant bacteremia in adults with community-acquired Enterobacterales urinary tract infections.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Article
  6. ASP-COMPLEX: redefining antimicrobial stewardship to improve outcomes in high-risk patients with severe infections.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2026
    Review
  7. Challenges and opportunities in the management of severe pneumonia. Key concepts from the Seventh Annual Meeting of Spanish Experts 2025.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2026
    Review
  8. 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

9 authors.

Florian WagenlehnerClinic of Urology, Pediatric Urology & Andrology, Justus Liebig University Giessen, Germany.
Verónica Rico CaballeroInfectious Disease Department, Hospital Clinic & IDIBAPS, Barcelona, Spain.
Vikalp MaheshwariParexel International, India.
Ayantika BiswasParexel International, India.
Priyanka SainiParexel International, India.
Juan QuevedoAdvanz Pharma, London, UK.
Juergen PolifkaAdvanz Pharma, London, UK.
Leonardo RuizAdvanz Pharma, London, UK.
Sandrine CureAdvanz Pharma, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Anti-Bacterial AgentsPyelonephritisUrinary Tract InfectionsAcute DiseaseBayes TheoremHumansRandomized Controlled Trials as TopicTreatment OutcomeAnti-Bacterial Agentsacute pyelonephritiscarbapenemcefepime-enmetazobactamcomplicated urinary tract infectionnetwork meta-analysissystematic literature reviewtreatment options

Identifiers

PMID39817442
PMCPMC11864080

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.