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Record W4409496910 · doi:10.1186/s12917-025-04722-y

Short versus longer duration antibiotic treatment for urinary tract infections in companion animals: a systematic review and meta-analysis

2025· review· en· W4409496910 on OpenAlexaff
Fiona Emdin, Sean Wei Xiang Ong, Clare McGall, Valerie Leung, Kevin L. Schwartz, Bradley J. Langford, Kevin A. Brown, Susan Massarella, Nick Daneman

Bibliographic record

VenueBMC Veterinary Research · 2025
Typereview
Languageen
FieldVeterinary
TopicVeterinary Medicine and Surgery
Canadian institutionsHealth Sciences CentreSunnybrook Health Science CentreInstitute for Work & HealthUniversity of TorontoYork UniversityPublic Health Ontario
FundersStrong
KeywordsMedicineMeta-analysisAntibioticsUrinary systemPublication biasInternal medicineMEDLINERandomized controlled trialRelative riskAntibiotic resistanceClinical trialConfidence intervalBiology

Abstract

fetched live from OpenAlex

BACKGROUND: Unnecessarily prolonged antibiotic durations may contribute to the development of resistance in both humans and animals. Veterinarians need evidence supporting antibiotic treatment durations. This systematic review and meta-analysis aimed to compare the efficacy of shorter durations of antibiotic treatment to longer durations in treating urinary tract infections (UTIs) in dogs and cats. METHODS: Four databases (MEDLINE, Scopus, EMBASE, and CAB Abstracts) were searched from inception to October 2nd, 2024. Studies that reported the impact of antibiotic treatments of different durations for simple UTIs in dogs or cats and reported a primary outcome of interest, specifically clinical or microbiological resolution of the UTIs, were included. For each study, two reviewers independently screened extracted data and evaluated the risk of bias. Random effects models were used to compare pooled risk ratios of cure rates. RESULTS: Of 2,324 studies screened, we identified three studies (two randomized and one nonrandomized controlled trial) which met our inclusion criteria for meta-analysis. Studies examined only 26 animals (9 events) across their short-duration arms and 28 animals (17 events) across long-duration arms. All studies were assessed as having high or serious risk of bias. The pooled risk ratio for cure with short versus longer durations of treatment was 0.55, 95% CI: 0.23-1.27; the evidence was graded as very low certainty. Studies compared 1 to 3-day durations, 3 days to 14-day and 3 days to 21-day durations. CONCLUSION: Based on this data alone, we cannot make conclusions about the efficacy of short compared to long antibiotic durations for treating UTIs in cats and dogs; due to the low numbers of included studies and patients, the confidence intervals for the pooled risk ratio were wide and could be consistent with inferiority or superiority of shorter treatment. Existing evidence supports shorter durations of antibiotics for treating sporadic UTIs in dogs and cats, however this systematic review and meta-analysis highlights that this is still a serious knowledge gap that must be addressed. Studies that examine optimal antibiotic durations for treating UTIs in dogs and cats are urgently needed to support clinical decision-making, inform guidelines, and improve antimicrobial stewardship in veterinary medicine. SYSTEMATIC REVIEW REGISTRATION: Open science framework ( https://doi.org/10.17605/OSF.IO/2YJPM ).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.018
metaresearch head score (Gemma)0.038
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.025
Threshold uncertainty score0.094

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.038
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0250.050
Bibliometrics0.0090.009
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0020.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.715
GPT teacher head0.570
Teacher spread0.145 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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