Symptom importance, patient expectations, and satisfaction in chronic rhinosinusitis
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Sinonasal symptoms and poor quality of life (QOL) prompt chronic rhinosinusitis (CRS) patients to undergo sinus surgery (ESS). However, little is known regarding the symptoms most important to patients and how these impact expectations and postoperative satisfaction. METHODS: A prospective, multi-institutional cohort study of 100 CRS patients undergoing ESS completed a novel adaptation of the 22-item Sino-Nasal Outcome Test (SNOT-22) wherein they rated how important it was for specific symptoms to improve after surgery, along with preoperative expectations and postoperative satisfaction. The primary satisfaction measure was whether a patient would choose to undergo endoscopic sinus surgery (ESS) again. A multivariate, logistic regression model was built using demographics, objective measures, and the adapted SNOT-22 data. Spearman correlation analysis was also performed. RESULTS: Nasal obstruction was rated as "extremely" or "very" important by 93% of patients, followed by smell/taste, thick nasal discharge, need to blow nose, postnasal discharge, and sleep symptoms (range, 61-72%). Symptoms like sadness and embarrassment were not considered important by preoperative patients (≤28%). In multivariate logistic regression, postoperative satisfaction depended on preoperative expectations being met and ESS improving their most important symptoms (odds rato, 19.6-27.5; p < 0.005). Postoperative satisfaction was not correlated with achieving a minimal clinically important difference, but it was correlated with magnitude of change in SNOT-22 (r = 0.35; p < 0.05). CONCLUSIONS: Nasal, smell, and sleep-related symptoms were consdidered most important by this cohort. Meeting of preoperative expectations, improvement of the most important symptoms, and the magnitude of change in the SNOT-22 may drive postoperative 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 | 0.000 | 0.000 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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