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Record W2604212655 · doi:10.1016/j.juro.2017.02.415

MP11-14 COST EFFECTIVENESS OF TARGETED ANTIMICROBIAL THERAPY IN TRANSRECTAL ULTRASOUND-GUIDED PROSTATE BIOPSY

2017· article· en· W2604212655 on OpenAlexaboutno aff
Alaya Yassein, Jean‐Éric Tarride, Timothy Davies

Bibliographic record

VenueThe Journal of Urology · 2017
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineProstatitisProstate biopsyProstateBiopsyGynecologyAntimicrobialCost effectivenessInternal medicineSurgeryUrology

Abstract

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You have accessJournal of UrologyInfections/Inflammation/Cystic Disease of the Genitourinary Tract: Prostate & Genitalia II1 Apr 2017MP11-14 COST EFFECTIVENESS OF TARGETED ANTIMICROBIAL THERAPY IN TRANSRECTAL ULTRASOUND-GUIDED PROSTATE BIOPSY Alaya Yassein, Jean-Eric Tarride, and Timothy Davies Alaya YasseinAlaya Yassein More articles by this author , Jean-Eric TarrideJean-Eric Tarride More articles by this author , and Timothy DaviesTimothy Davies More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2017.02.415AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES Prophylactic antibiotics are recommended in the American Urological Association (AUA) guidelines to reduce infectious complications following transrectal prostate biopsy (TRPB). Evidence for fluoroquinolone (FQ) prophylaxis is strong but high rates of FQ resistance worldwide have led to increased incidence of post-biopsy infections. Targeted antimicrobial prophylaxis based on rectal swab and culture can decrease rates of post-biopsy infections. To our knowledge, this will be the first study in North America to comprehensively analyze the cost utility of rectal swabs as a tool to reduce infectious complications after prostate biopsy. METHODS A decision analytic model was prepared to compare costs of TRPB infectious complications (no infection, outpatient prostatitis, and inpatient prostatitis) among patients who had standard three-day ciprofloxacin prophylaxis compared to targeted three-day antimicrobials. Rates of infection were based on a recent large meta-analysis and rates of resistance were based on local institutional data. Costs were calculated based on hospital-derived data regarding average cost of inpatient stay, regional costs of common oral and intravenous antibiotics, and lab estimates of labour and material costs for investigations. These were all based on Canadian dollars (CAD). Quality-adjusted life years (QALYs) were calculated based on standard utility values for healthy middle-aged men, outpatient urinary tract infections (UTIs), and inpatient UTIs (as a surrogate for prostatitis). Several presumptions were made to produce a typical index patient of a man fifty to seventy years of age who is otherwise healthy and has no known multi-drug resistant organisms. RESULTS Culture-guided prophylaxis resulted in reduced cost compared to standard prophylaxis ($77 CAD versus $143 CAD) and reduction in quality-adjusted life years (QALYs) by 0.00051. Increasing the cost of performing rectal swabs from $31 CAD to 95CAD causes the two arms to equalize at $141 CAD. Utilizing standard prophylaxis, compared to targeted, would result in an $83 CAD increase in cost to the patient. CONCLUSIONS The use of rectal swabs prior to prostate biopsy for targeted prophylactic antimicrobial therapy is both less costly and confers a greater quality of life compared to standard ciprofloxacin prophylaxis. © 2017FiguresReferencesRelatedDetails Volume 197Issue 4SApril 2017Page: e142 Advertisement Copyright & Permissions© 2017MetricsAuthor Information Alaya Yassein More articles by this author Jean-Eric Tarride 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)0.028
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.028
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.004
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0120.001

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 head0.024
GPT teacher head0.310
Teacher spread0.286 · 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 designObservational
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
Published2017
Admission routes1
Has abstractyes

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