SynthesisJMIR public health and surveillance2024
Economic Burden of Community-Acquired Antibiotic-Resistant Urinary Tract Infections: Systematic Review and Meta-Analysis.
Synthesis in JMIR public health and surveillance, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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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.
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.
Who cites it
13 citing papers in PubMed.
- Ocotea odorifera extract: antimicrobial and antibiofilm activities, phytochemical aspects, cytotoxicity and anti-inflammatory potential of an endangered plant species.International microbiology : the official journal of the Spanish Society for Microbiology · 2026Article
- Prevalence of antimicrobial resistance in acute community-acquired urinary tract infections in Sub-Saharan Africa: a systematic review.JAC-antimicrobial resistance · 2026Review
- Trends in antimicrobial resistance of major gram-negative uropathogens, 2016-2024: A single center retrospective study.Investigative and clinical urology · 2026Article
- Treatment outcomes of multidisciplinary management of recurrent urinary tract infections: A 2-year experience in a dedicated complex-UTI clinic.BJUI compass · 2026Article
- Cefepime-enmetazobactam for complicated urinary tract infections: Redefining ESBL therapy.The Indian journal of medical research · 2026Review
- Urinary bacterial spectrum and antibiotic resistance trends at a Urology Clinic in Hungary between 2012 and 2023.International urology and nephrology · 2026Article
- Refractory XDRLe infezioni in medicina · 2026Article
- Sociodemographic and Clinical Correlates of Multidrug-Resistant Uropathogens in Hospitalized Children.Infection and drug resistance · 2026Article
- Characterization of urinary Escherichia coli isolates in HIV-seropositive women with asymptomatic bacteriuria in Western Ghana.BMC microbiology · 2025Article
- Burden of Healthcare-Associated Infections and Antimicrobial Resistance in a Romanian Cardiovascular and Transplant Center: Factors Associated with Mortality.Antibiotics (Basel, Switzerland) · 2025Article
- Identification of Compounds With Potential Dual Inhibitory Activity Against Drug Efflux Pumps in Resistant Cancer Cells and Bacteria: Protocol for a Systematic Review.JMIR research protocols · 2025Article
- Review
- The Role of Stratified Cumulative Antibiograms in the (Choice of Appropriate Antibiotics in Urinary Tract Infection) Management of Urinary Tract Infections.Pathogens (Basel, Switzerland) · 2025Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Antibiotic resistance (ABR) poses a major burden to global health and economic systems. ABR in community-acquired urinary tract infections (CA-UTIs) has become increasingly prevalent. Accurate estimates of ABR's clinical and economic burden are needed to support medical resource prioritization and cost-effectiveness evaluations of urinary tract infection (UTI) interventions. Objective: This study aims to systematically synthesize the evidence on the economic costs associated with ABR in CA-UTIs, using published studies comparing the costs of antibiotic-susceptible and antibiotic-resistant cases. Methods: We searched the PubMed, Ovid MEDLINE and Embase, Cochrane Review Library, and Scopus databases. Studies published in English from January 1, 2008, to January 31, 2023, reporting the economic costs of ABR in CA-UTI of any microbe were included. Independent screening of titles/abstracts and full texts was performed based on prespecified criteria. A quality assessment was performed using the Integrated Quality Criteria for Review of Multiple Study Designs (ICROMS) tool. Data in UTI diagnosis criteria, patient characteristics, perspectives, resource costs, and patient and health economic outcomes, including mortality, hospital length of stay (LOS), and costs, were extracted and analyzed. Monetary costs were converted into 2023 US dollars. Results: This review included 15 studies with a total of 57,251 CA-UTI cases. All studies were from high- or upper-middle-income countries. A total of 14 (93%) studies took a health system perspective, 13 (87%) focused on hospitalized patients, and 14 (93%) reported UTI pathogens. Escherichia coli, Klebsiella pneumoniae, and Pseudomonas aeruginosa are the most prevalent organisms. A total of 12 (80%) studies reported mortality, of which, 7 reported increased mortality in the ABR group. Random effects meta-analyses estimated an odds ratio of 1.50 (95% CI 1.29-1.74) in the ABR CA-UTI cases. All 13 hospital-based studies reported LOS, of which, 11 reported significantly higher LOS in the ABR group. The meta-analysis of the reported median LOS estimated a pooled excess LOS ranging from 1.50 days (95% CI 0.71-4.00) to 2.00 days (95% CI 0.85-3.15). The meta-analysis of the reported mean LOS estimated a pooled excess LOS of 2.45 days (95% CI 0.51-4.39). A total of 8 (53%) studies reported costs in monetary terms-none discounted the costs. All 8 studies reported higher medical costs spent treating patients with ABR CA-UTI in hospitals. The highest excess cost was observed in UTIs caused by carbapenem-resistant Enterobacterales. No meta-analysis was performed for monetary costs due to heterogeneity. Conclusions: ABR was attributed to increased mortality, hospital LOS, and economic costs among patients with CA-UTI. The findings of this review highlighted the scarcity of research in this area, particularly in patient morbidity and chronic sequelae and costs incurred in community health care. Future research calls for a cost-of-illness analysis of infections, standardizing therapy-pathogen combination comparators, medical resources, productivity loss, intangible costs to be captured, and data from community sectors and low-resource settings and countries.
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