Avaliação da qualidade de vida após septoplastia em pacientes com obstrução nasal
Bibliographic record
Abstract
UNLABELLED: Nasal obstruction is a common complaint in the population. When caused by a deviated nasal septum, septoplasty is the procedure of choice for treating these patients. NOSE is a tool for assessing the disease-specific quality of life related to nasal obstruction. AIM: To assess the impact of septoplasty on patients with nasal obstruction secondary to deviated nasal septum based on the disease-specific quality-of-life questionnaire. DESIGN: Prospective. METHODS: Patients undergoing septoplasty with/without turbinectomy after no clinical improvement with medical treatment were assessed by the NOSE questionnaire before and 3 months after surgery. We evaluated the surgical improvement based on total score, the magnitude of the surgery in the disease-specific quality of life and the correlation between the preoperative score and postoperatively improvement. RESULTS: Fourty-six patients were included in the study. There was a statistically significant improvement in the preoperative NOSE score (md = 75, IQR = 26) and after three months (md = 10, IQR = 20) (p < 0.001.T-Wilcoxon). The standardized response mean was 3.07. We found a strong correlation between the preoperative score in the NOSE questionnaire and improvements in the postoperative period (r = -0.789, p < 0.001, Spearman). No difference was found in improvement scores by gender. (p = 0.668, U-Mann-Whitney). CONCLUSION: Septoplasty resulted in a statistically significant improvement in the disease-specific QOL questionnaire.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".