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Record W1985057254 · doi:10.3821/1913-701x-142.5.248

A Retrospective Review Assessing the Efficacy and Safety of Nitrofurantoin in Renal Impairment

2009· review· en· W1985057254 on OpenAlexaffvenue
Ajay Bains, Donna Buna, Nathan Hoag

Bibliographic record

VenueCanadian Pharmacists Journal / Revue des Pharmaciens du Canada · 2009
Typereview
Languageen
FieldMedicine
TopicUrinary Tract Infections Management
Canadian institutionsIsland Health
Fundersnot available
KeywordsNitrofurantoinMedicineRenal functionUrologyAdverse effectRetrospective cohort studyUrinary systemInclusion and exclusion criteriaInternal medicineAntibioticsAntibiotic resistance

Abstract

fetched live from OpenAlex

Background: Nitrofurantoin (NF) is an antibiotic commonly used to treat uncomplicated urinary tract infections (UTIs). Although NF is contraindicated in patients with an estimated glomerular filtration rate (GFR) of less than 60 mL/min, the evidence demonstrating its lack of efficacy and an increased rate of adverse reactions in these patients is marginal. Methods: A retrospective chart review was conducted to determine the efficacy and safety of NF in patients with a UTI and an estimated GFR ≤50 mL/min (impaired renal function group) compared to >50 mL/min (control group). Results: A total of 356 patients met our inclusion criteria. The Modified Cockcroft-Gault equation was used to estimate GFR. The point estimate for cure rate in the impaired renal function group was 71% (95% CI 63–79), versus 78% (95% CI 73–84) for the control group. Conclusions: Similar NF cure rates were observed in patients with impaired renal function (estimated GFR ≤50 mL/min) and patients in the control group (estimated GFR >50 mL/min). The occurrence of adverse events was comparable between the 2 groups.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.927
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.045
GPT teacher head0.356
Teacher spread0.310 · 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.

Study designOther design
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

Citations33
Published2009
Admission routes2
Has abstractyes

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