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Record W2002693122 · doi:10.1001/jamaoto.2015.0468

Correlations Between Acoustic Rhinometry, Subjective Symptoms, and Endoscopic Findings in Symptomatic Children With Nasal Obstruction

2015· article· en· W2002693122 on OpenAlex
André Isaac, Michael P. Major, Manisha Witmans, Yaser Alrajhi, Carlos Flores‐Mir, Paul W. Major, Noura Alsufyani, Mohamed Korayem, Hamdy El‐Hakim

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJAMA Otolaryngology–Head & Neck Surgery · 2015
Typearticle
Languageen
FieldMedicine
TopicNasal Surgery and Airway Studies
Canadian institutionsStollery Children's HospitalUniversity of Alberta
Fundersnot available
KeywordsAcoustic rhinometryMedicineAudiologyNoseSurgery

Abstract

fetched live from OpenAlex

IMPORTANCE: Nasal obstruction is common in children and difficult to quantify objectively. Symptom quantification is paramount for surgical and medical decision making. Acoustic rhinometry is a relatively new technique aimed at the objective assessment of nasal obstruction. There is no standardized method for the objective assessment of the pediatric nasal airway. OBJECTIVE: To explore the correlations between acoustic rhinometry (AR), subjective symptoms, and endoscopic findings in children presenting with nasal obstruction. DESIGN, SETTING, AND PARTICIPANTS: A cross-sectional, exploratory, diagnostic study of prospectively collected data from a multidisciplinary airway clinic (pulmonology, orthodontics, and otolaryngology) database at a tertiary academic referral center. Data were collected over a 2-year period (2010-2012) from 65 nonsyndromic children (38 boys) 7 years and older (mean [SD] age, 10.3 [2.5] years [range, 7-14 years]), presenting with persistent nasal obstructive symptoms for at least 1 year, without signs and symptoms of sinus disease. INTERVENTIONS: We collected patient demographics and medical history information including allergy, asthma, and sleep-disordered breathing. Subjective nasal obstruction was scored using a visual analog scale (VAS). Sleep-disordered breathing was assessed using overnight pulse oximetry. The adenoid size, septal position, and visual severity of chronic rhinitis (endoscopic rhinitis score [ERS]) were rated on nasal endoscopy by 2 independent reviewers and validated by agreement. Acoustic rhinometry (AR) was undertaken before and after use of a decongestant. MAIN OUTCOMES AND MEASURES: Correlation and multiple regression analyses were performed to explore interrelationships between subjective nasal obstruction VAS, AR, and nasal endoscopy. RESULTS: Among the 65 patients, 28 (43%) had symptoms of sleep-disordered breathing, 14 (22%) had allergic rhinitis, 10 (15%) had asthma, 27 (41%) had grade 3 or 4 adenoidal obstruction, 28 (43%) had an ERS of 2, 6 (9%) had an ERS of 3, and 19 (29%) had septal deviation. Significant correlations were found between subjective nasal obstruction VAS score and ERS (r = -0.364, P = .003), ERS and minimal cross-sectional area before decongestion (r = -0.278, P = .03), and adenoid size and calculated nasal resistance after decongestion (r = 0.430, P < .001). Multiple regression analysis showed that the ERS was the only significant predictor of VAS score (β of -22.089; 95% CI, -35.56 to -8.61 [P = .002]). No predictors were identified for AR variables. CONCLUSIONS AND RELEVANCE: Among the evaluated tools, endoscopy appears to be the most reliable tool to estimate the degree of subjective nasal symptoms.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.022
GPT teacher head0.258
Teacher spread0.236 · 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