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Record W4256440621 · doi:10.1097/qco.0000000000000019

Asymptomatic bacteriuria

2013· article· en· W4256440621 on OpenAlexaff
Lindsay E. Nicolle

Bibliographic record

VenueCurrent Opinion in Infectious Diseases · 2013
Typearticle
Languageen
FieldMedicine
TopicUrinary Tract Infections Management
Canadian institutionsUniversity of ManitobaManitoba HealthHealth Sciences Centre
Fundersnot available
KeywordsMedicineBacteriuriaAsymptomaticIntensive care medicineAntimicrobial stewardshipAsymptomatic bacteriuriaAntimicrobialInternal medicineSurgeryUrinary systemAntibioticsAntibiotic resistanceMicrobiology

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Asymptomatic bacteriuria is a common finding. Inappropriate antimicrobial treatment of asymptomatic bacteriuria has been identified as a major issue for antimicrobial stewardship programs. This review summarizes and evaluates recent studies which extend our knowledge of the occurrence, management, and outcomes of bacteriuria. RECENT FINDINGS: The reported prevalence of bacteriuria is higher in some developing countries than generally reported for developed countries, but reasons for this remain unclear. Clinical studies of young women, renal transplant patients, and patients undergoing minor nontraumatic urologic procedures confirm that treatment of asymptomatic bacteriuria for these populations is not beneficial, and may be harmful. There is also no benefit for treatment of asymptomatic bacteriuria prior to orthopedic surgery to decrease postoperative surgical site infection. Studies continue to report substantial inappropriate antimicrobial use for treatment of asymptomatic bacteriuria. SUMMARY: Recent publications confirm that asymptomatic bacteriuria is benign in most patients. Management strategies for pregnant women with recurrent bacteriuria require further clarification. There is a continuing problem with inappropriate treatment of asymptomatic bacteriuria, and sustainable strategies to optimize antimicrobial use for this problem are needed.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.002

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 head0.025
GPT teacher head0.318
Teacher spread0.294 · 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; both teacher heads agree on what is shown here.

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".

Quick stats

Citations65
Published2013
Admission routes1
Has abstractyes

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