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Record W2028375855 · doi:10.1016/j.juro.2014.02.416

MP11-01 DAILY VERSUS POSTCOITAL ANTIBIOTIC PROPHYLAXIS IN WOMEN WITH RECURRENT URINARY TRACT INFECTIONS: CHOICE OF ANTIBIOTIC FROM A COST-EFFECTIVENESS PERSPECTIVE

2014· article· en· W2028375855 on OpenAlexaboutno aff
Hin Yu Vincent Tu, T. Davies

Bibliographic record

VenueThe Journal of Urology · 2014
Typearticle
Languageen
FieldMedicine
TopicUrinary Tract Infections Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineNitrofurantoinAntibioticsTrimethoprimAntibiotic prophylaxisCiprofloxacinUrinary systemGynecologyFormularyInternal medicineFamily medicine

Abstract

fetched live from OpenAlex

You have accessJournal of UrologyGeneral & Epidemiological Trends & Socioeconomics: Practice Patterns, Cost Effectiveness II1 Apr 2014MP11-01 DAILY VERSUS POSTCOITAL ANTIBIOTIC PROPHYLAXIS IN WOMEN WITH RECURRENT URINARY TRACT INFECTIONS: CHOICE OF ANTIBIOTIC FROM A COST-EFFECTIVENESS PERSPECTIVE Hin Yu Vincent Tu and Timothy Davies Hin Yu Vincent TuHin Yu Vincent Tu More articles by this author and Timothy DaviesTimothy Davies More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2014.02.416AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES Increasing evidence suggests that daily or postcoital antibiotic prophylaxis are effective strategies in the management of women with recurrent urinary tract infections (UTI). The purpose of our study is to compare the cost-effectiveness of different antibiotics used for daily and postcoital prophylaxis. METHODS A decision analysis model was developed to estimate the costs of daily and postcoital antibiotic prophylaxis in the reduction of UTIs per patient year. Prophylaxis success was defined as less than one microbacterial recurrence per patient year (MRPY). Our model was populated using data obtained from the EAU review and the Cochrane Review (CR) on UTIs. Antibiotics used for daily prophylaxis included: trimethoprim, nitrofurantoin, cephalexin and ciprofloxacin. Trimethoprim-sulfamethoxazole (TMP-SMZ) and ciprofloxacin were included as postcoital antibiotics. Costs were obtained from the Provincial Drug Benefit formulary. Univariate sensitivity analysis was performed to determine the robustness of our model. RESULTS Postcoital antibiotic prophylaxis was more cost-effective than daily prophylaxis at reducing MRPY. When the frequency of sexual intercourse (FSI) was once per week, postcoital TMP-SMZ 40/200mg was the most cost-effective agent, reducing MRPY to less than one at a cost of $1.3 Canadian dollars per patient year (CAD/py). This was followed by postcoital ciprofloxacin 125mg at a cost of $15.2 CAD/py. The cost of daily cephalexin 125mg and daily nitrofurantoin 100mg was $22.5 CAD/py and $41.5 CAD/py respectively. Sensitivity analyses suggested that as the FSI increased beyond 1.4 times per week, postcoital TMP-SMZ remained the most cost-effective however postcoital ciprofloxacin became less cost-effective than daily cephalexin prophylaxis. CONCLUSIONS In the management of recurrent UTIs, prophylactic postcoital antibiotics is the most cost-effective solution. Our study suggests that postcoital TMP-SMZ should be the initial antibiotic choice. This is followed by postcoital ciprofloxacin if the FSI is less than once per week, and daily cephalexin if the FSI is greater than twice per week. Decisions for antibiotic choice should also be made in conjunction with local resistance patterns and clinical judgement. © 2014FiguresReferencesRelatedDetails Volume 191Issue 4SApril 2014Page: e95 Advertisement Copyright & Permissions© 2014MetricsAuthor Information Hin Yu Vincent Tu More articles by this author Timothy Davies More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...

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)0.006
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.022
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.004
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0080.000

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 head0.022
GPT teacher head0.301
Teacher spread0.279 · 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 designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

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Citations0
Published2014
Admission routes1
Has abstractyes

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