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Record W2088016269 · doi:10.2310/7070.2001.20001

Ceruminolytic Efficacy in Adults versus Children

2001· article· en· W2088016269 on OpenAlexaffvenue
Michele M. Carr, Rachael L. Smith

Bibliographic record

VenueThe Journal of Otolaryngology · 2001
Typearticle
Languageen
FieldMedicine
TopicEar Surgery and Otitis Media
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsMedicineAuditory canalRandomized controlled trialSodium bicarbonateClinical efficacyPediatricsDentistrySurgery

Abstract

fetched live from OpenAlex

OBJECTIVES: An inexpensive, nontoxic ceruminolytic with reasonable efficacy that can be used by the patient or their caregivers at home could represent significant financial saving for patients and health care systems. The purpose of this study was to compare two simple ceruminolytics for in vitro efficacy. STUDY DESIGN: Randomized controlled trial. METHODS: Thirty-six children and 33 adults presenting to a community family practice clinic who had cerumen occluding at least one external auditory canal were randomly assigned to compare use of 10% aqueous sodium bicarbonate and 2.5% aqueous acetic acid as ceruminolytics in occlusive cerumen. RESULTS: We were unable to demonstrate a difference between in vivo efficacy of these two ceruminolytic solutions, but both solutions were significantly more efficacious in children than adults. CONCLUSIONS: There is a role for these ceruminolytics in children with occlusive cerumen, but adults would be better treated in another way.

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)0.003
metaresearch head score (Gemma)0.007
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 score0.004
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.017
GPT teacher head0.269
Teacher spread0.252 · 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".

Quick stats

Citations33
Published2001
Admission routes2
Has abstractyes

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