Longitudinal improvement and stability of the SNOT‐22 survey in the evaluation of surgical management for chronic rhinosinusitis
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Patients with chronic rhinosinusitis (CRS) have significant quality-of-life (QOL) improvements following endoscopic sinus surgery (ESS). These improvements remain stable and persist between 6 months and 20 months as measured by the Rhinosinusitis Disability Index and the Chronic Sinusitis Survey. There has yet to be an evaluation of the longitudinal stability of the 22-item Sino-Nasal Outcome Test (SNOT-22) after ESS in patients with CRS. METHODS: Adults with medically recalcitrant CRS who were considered surgical candidates were enrolled in a prospective, multicenter, observational cohort study from February 2011 to February 2013. Baseline evaluation of subjects included assessment of clinical characteristics, measures of CRS-specific disease severity, and QOL evaluation using the SNOT-22. Subjects were then re-evaluated at approximately 6-month, 12-month, and 18-month intervals postoperatively. Data was analyzed using repeated measures analysis of variance (ANOVA) with Bonferroni corrections for matched pairwise comparisons. RESULTS: A total of 110 patients completed baseline evaluations and follow-up for all 3 postoperative time points. Significant improvement in SNOT-22 scores was seen between baseline and 6 months across both SNOT-22 total and subdomain scores (p < 0.001). There was no statistically significant difference between the 6-month, 12-month, and 18-month time points in the total SNOT-22 score or its domains (p ≥ 0.125) for both the entire cohort or subgroups (p ≥ 0.077). CONCLUSION: Postoperative improvement in CRS-specific QOL and symptom severity, as measured by the SNOT-22, suggest stability and durability between 6 months and 18 months. Further study on the longitudinal stability of the SNOT-22 past the 18-month time frame will help further refine clinical study of CRS and provide further understanding of temporal improvements following ESS.
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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 | 0.000 |
| 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) | 0.000 | 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