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Record W2327456219 · doi:10.1017/s0022215114000206

Efficacy and safety of inferior turbinates coblation in children

2014· article· en· W2327456219 on OpenAlexaff
Mohamed A. Bitar, Alyssa Kanaan, Sammy Sinno

Bibliographic record

VenueThe Journal of Laryngology & Otology · 2014
Typearticle
Languageen
FieldMedicine
TopicNasal Surgery and Airway Studies
Canadian institutionsMcGill UniversityMontreal Children's Hospital
Fundersnot available
KeywordsMedicineSurgeryWilcoxon signed-rank testCohortVisual analogue scaleEndoscopyStatistical significanceTurbinatesNoseMann–Whitney U testInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: To assess the effectiveness and safety of coblation in relieving inferior turbinate hypertrophy in children. METHODS: An observational cohort study was undertaken. The severity of allergic rhinitis and the severity and degree of nasal obstruction were assessed using subjective and clinical symptom grading tools, a visual analogue scale, and endoscopy. Any post-operative complications were noted at 1 week, and at 1, 3, 6 and 12 months post-operatively. Data from extended follow-up periods were included when available. The statistical significance of changes in parameter values was assessed using the Wilcoxon signed-rank test. RESULTS: Thirty-two patients were recruited (mean age, 11.28 years; range, 6-17 years). Significant post-operative improvement (p<0.001) was noted in the severity and degree of nasal obstruction. This improvement was maintained after a mean follow-up period of 10.5 months (range, 1 month to 4 years). No mucosal ulceration or adhesion was encountered. Minimal crusting was noted in 8.57 per cent of patients at 1-week follow up. Allergic rhinitis symptoms improved significantly. CONCLUSION: Inferior turbinate reduction by coblation is an effective and safe procedure in children aged six years and older. The positive outcomes seem to be long-lasting.

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)0.000
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 score0.004
Threshold uncertainty score0.180

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.007
GPT teacher head0.251
Teacher spread0.244 · 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

Citations15
Published2014
Admission routes1
Has abstractyes

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