Does skin thickness affect satisfaction post rhinoplasty?
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.
Bibliographic record
Abstract
OBJECTIVES: To determine the mean nasal skin thickness in the Middle Eastern population and to assess the effect of skin thickness on patients' satisfaction following rhinoplasty surgeries. Methods: Radiological measurements of skin thickness at the 3 vertical thirds of the nasal dorsum were taken. A total of 154 patients (80 females and 74 males) who were scheduled for computed tomography scan for the paranasal sinuses were included in the study. The patients were then categorized into 3 groups: thick, medium, and thin nasal skin. A scale from 10% to 100% was used to assess patient satisfaction following rhinoplasty. Satisfaction and skin thickness were analyzed using the Kruskal-Wallis test. Results: Nasal skin thickness for males was 6.13, 2.76 millimeter (mm) from the upper and 3.70 mm to the lower third. For females, it was 5.34, 2.13 mm from the upper and 3.21 mm to the lower third. There was no statistically significant difference in patient satisfaction among the 3 skin thickness groups (p=0.089). Conclusion: This study provides baseline results of nasal skin thickness in the Middle Eastern population. The results also show that nasal skin thickness may not be a strong factor affecting patient satisfaction.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it