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Record W2056064466 · doi:10.2310/7070.2006.0050

Change in Health Status after Rhinoplasty

2007· article· en· W2056064466 on OpenAlexvenueno aff
Mark Draper, Mahmoud A. Salam, Sanjiv Kumar

Bibliographic record

VenueThe Journal of Otolaryngology · 2007
Typearticle
Languageen
FieldMedicine
TopicNasal Surgery and Airway Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineRhinoplastyOtorhinolaryngologyConfidence intervalRetrospective cohort studyPhysical therapySurgeryNoseInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: To assess the change in health status of patients undergoing rhinoplasty. DESIGN: Retrospective mail-based questionnaire study using a validated post-intervention questionnaire specifically designed for otolaryngology surgery. SETTING: District general hospital otolaryngology department. PATIENTS: All patients (78 in total) undergoing rhinoplasty surgery between October 1998 and November 2003 were included in the study. MAIN OUTCOME MEASURE: Glasgow Benefit Inventory, a validated post-intervention questionnaire specifically designed for otolaryngologic surgery. RESULTS: The mean total Glasgow Benefit Inventory score was +20.0 (95% confidence interval [CI] 14.2-25.9), and the mean general, social, and physical subscale scores were +25.0 (95% CI 17.3-32.7), +10.2 (95% CI 4.4-16.0), and +9.9 (95% CI 2.7-17.0), respectively. CONCLUSIONS: Our results show that the health status of patients undergoing rhinoplasty improved overall and according to each of the subscales used.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.189

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.027
GPT teacher head0.314
Teacher spread0.288 · 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
Published2007
Admission routes1
Has abstractyes

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