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Record W4321453076 · doi:10.1177/00099228231154364

A Comparison of Short Versus Long Course Intravenous Antibiotics When Treating Urinary Tract Infection in Infants <60 Days of Age

2023· article· en· W4321453076 on OpenAlexaff
Fadi Zu’bi, Martha Pokarowski, Rusul Al-Kutbi, Michelle Science, Janaki Vallipuram, Fardod O’Kelly, Michael Chua, Jeremy Friedman, Martin A. Koyle

Bibliographic record

VenueClinical Pediatrics · 2023
Typearticle
Languageen
FieldMedicine
TopicPediatric Urology and Nephrology Studies
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineAntibioticsAmpicillinInterquartile rangeUrinary systemTobramycinRetrospective cohort studyPediatricsInternal medicineGentamicinSurgery

Abstract

fetched live from OpenAlex

Urinary tract infections (UTIs) are a common reason for hospitalization in infants younger than 60 days, and the optimal approach to intravenous (IV) antibiotic therapy upon UTI diagnosis in this cohort is unknown. We determined whether there was an association between IV antibiotic therapy duration (long [>3 days] vs short [≤3 days]) and treatment failure via a retrospective review of infants with confirmed UTIs receiving IV antibiotics at a tertiary referral center. A total of 403 infants were included; 39% were treated with ampicillin and cefotaxime, and 34% with ampicillin and gentamycin or tobramycin. The median IV antibiotic duration was 5 (interquartile range: 3-10) days, and 5% of patients experienced treatment failure. The treatment failure rate was similar in both short- and long-course IV antibiotic groups ( P > .05), and there was no significant association between treatment duration and failure. We conclude that treatment failure for infants hospitalized with UTI is uncommon and not associated with IV antibiotic duration.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.753

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.109
GPT teacher head0.431
Teacher spread0.322 · 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 teacher head, 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".

Quick stats

Citations1
Published2023
Admission routes1
Has abstractyes

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