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Record W2886952543 · doi:10.1001/jamafacial.2018.0861

Assessment of Pliability and Elasticity of the External Nasal Skin in Patients With Unilateral Nasal Valve Collapse

2018· article· en· W2886952543 on OpenAlexaff
James P. Bonaparte, Ross Campbell

Bibliographic record

VenueJAMA Facial Plastic Surgery · 2018
Typearticle
Languageen
FieldMedicine
TopicNasal Surgery and Airway Studies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMedicineSurgeryNoseOtorhinolaryngology

Abstract

fetched live from OpenAlex

IMPORTANCE: Understanding the skin biomechanics, specifically pliability and elasticity, in patients with nasal valve collapse may allow for new methods to assess which patients require more advanced nasal valve surgery. OBJECTIVE: To test the hypothesis that in patients with unilateral nasal valve collapse, the side of the nose with the collapse will have lower elasticity and increased pliability compared with the normal side, as assessed by a blinded observer using the Cutometer MPA 580. DESIGN, SETTING, AND PARTICIPANTS: Prospective, investigator-blinded, case-control cohort study of patients with unilateral nasal valve collapse and subjective nasal obstruction conducted in an academic otolaryngology-head and neck surgery clinic. INTERVENTIONS: Patients were assessed using the Cutometer MPA 580 by a blinded assessor. Three measurements were performed bilaterally on the exterior skin of the nose corresponding to the level of the inferior edge of the upper lateral cartilage. Measurements taken at the skin inferior to the zygoma were used as a control. MAIN OUTCOMES AND MEASURES: Primary outcome measures of the nasal skin were pliability (Uf, defined as the lengthening of the skin after 3 seconds of constant load) and elasticity (Ua/Uf, defined as the percentage of the skin that returned to its normal position 3 seconds after the release from the 3-second constant load). RESULTS: Of the 27 patients included in the study, 15 (56%) were male, and 12 (44%) were female; mean (SD) age, 44 (21) years (range, 16-90 years). There was no difference between the measurements of the skin overlying the area of nasal valve collapse in elasticity: side without collapse (0.960% [0.031%]) vs side with collapse (0.967% [0.036%]) (mean difference, 0.007%; 95% CI, -0.018% to 0.021%) (P = .90). However, there was a significant difference in pliability: side of the nose without collapse (0.520 [0.139] mm) vs side with collapse (0.610 [0.200]) (mean difference, 0.090 mm; 95% CI, 0.014-0.156 mm) (P = .02). CONCLUSIONS AND RELEVANCE: Although the skin in patients with nasal valve collapse appears to maintain its elasticity, it demonstrates an increased ability to stretch and lengthen compared with nasal skin of those without valve collapse. Future studies are required to determine whether the biomechanical changes are related to the length and severity of nasal obstruction, or whether these changes in the skin may help predict who will benefit from nasal valve surgery and whether these patients are at an increased risk of surgical failure. LEVEL OF EVIDENCE: 2.

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)0.001
metaresearch head score (Gemma)0.004
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.010
GPT teacher head0.244
Teacher spread0.234 · 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

Citations5
Published2018
Admission routes1
Has abstractyes

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