ReviewJAC-antimicrobial resistance2026
Prevalence of antimicrobial resistance in acute community-acquired urinary tract infections in Sub-Saharan Africa: a systematic review.
Review in JAC-antimicrobial resistance, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Background: In Sub-Saharan Africa, over-the-counter antibiotic dispensing and limited resources drive high antimicrobial resistance (AMR), yet data on community-acquired urinary tract infections (UTIs) remain scarce. This review synthesizes available AMR evidence in this population. Methods: We searched MEDLINE, Embase and Global Health (January 2000-April 2026) for studies evaluating AMR in acute community-acquired UTIs across Sub-Saharan Africa. Random-effects meta-analyses evaluated resistance of Results: From 3099 screened articles, 42 studies (19 countries) were analysed. Pooled AMR prevalence was high for Conclusions: Community-acquired UTIs in Sub-Saharan Africa exhibit high rates of AMR. Addressing this burden requires targeted community antimicrobial stewardship, rapid diagnostic tools to guide empiric therapy and standardized laboratory reporting to enable accurate global surveillance.
Identifiers
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Registered trials
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.