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Record W2042858175 · doi:10.1016/j.otohns.2010.06.819

Comparison of safety and efficacy of foam‐based versus solution‐based ciprofloxacin for acute otitis externa

2010· article· en· W2042858175 on OpenAlexaff
Tal Marom, Rodrigo Yelin, Abraham Goldfarb, Yoseph Rakover, Lev Shlizerman, Eran Eilat, Yehudah Roth

Bibliographic record

VenueOtolaryngology · 2010
Typearticle
Languageen
FieldMedicine
TopicEar Surgery and Otitis Media
Canadian institutionsPublic Health OntarioUniversity of Toronto
Fundersnot available
KeywordsMedicineCiprofloxacinRandomized controlled trialAntibioticsSurgeryAcute otitis mediaEdemaOtitisInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: To compare and evaluate the efficacy and safety of a foam-based antibiotic formulation in the treatment of acute otitis externa (AOE) with the more conventional solution-based formulation. STUDY DESIGN: Phase 2, open-label, randomized controlled trial. SETTING: Multicenter. SUBJECTS AND METHODS: Sixty-three eligible adult patients with unilateral AOE were randomly assigned to one of two treatment groups: an experimental 0.3 percent foam-based ciprofloxacin, (FoamOtic Cipro) or 0.3 percent solution-based ciprofloxacin (Ciloxan). All patients received the same dose regime (twice daily for 7 days). The primary efficacy variable was response to therapy (cure) in the test-of-cure visit. Secondary variables included improvement of the disease symptoms otalgia, tenderness, edema, and otorrhea. RESULTS: Sixty-four patients were enrolled in the study. Seven patients were excluded from the per-protocol analysis due to major deviations from the protocol. Per-protocol analysis (n = 57) showed that cure was achieved in all the patients (P = 1.000). No significant differences were found between groups for symptomatic relief, resolution of otic discharge, or onset of pain reduction. Both treatments were found to be highly efficacious and safe, demonstrating the noninferiority of the experimental drug. CONCLUSION: Foam-based ciprofloxacin is a safe and an effective new treatment for AOE.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.118
Threshold uncertainty score0.508

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.029
GPT teacher head0.349
Teacher spread0.320 · 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

Citations16
Published2010
Admission routes1
Has abstractyes

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