Comparing surgeon outcomes in endoscopic sinus surgery for chronic rhinosinusitis
Bibliographic record
Abstract
OBJECTIVES/HYPOTHESIS: The objective of this investigation was to evaluate endoscopic sinus surgery (ESS) outcomes for chronic rhinosinusitis (CRS) between medical centers to determine if differences in quality-of-life outcomes were detectable. In addition, we sought to identify significant, independent cofactors toward the development of an ESS-specific risk-adjustment model so that ESS outcomes may be appropriately compared between institutions and healthcare providers. STUDY DESIGN: Prospective, multicenter, observational cohort. METHODS: Study participants electing ESS for CRS were enrolled and randomly selected in equal numbers from three academic clinical practices in North America between April 2011 and May 2015. The magnitude of average 6-month postoperative improvement in patient-related outcome measures (PROMs) was compared between enrollment sites using multivariate linear regression modeling. RESULTS: A total of 228 participants met inclusion criteria and were included for final analyses (n = 76 per site). The prevalence of septal deviation/septoplasty and oral corticosteroid-dependent conditions was significantly different between enrollment sites (P ≤ 0.004). Each enrollment site generated significant within-subject improvement across all PROMs after ESS (P < 0.001); however, average unadjusted magnitudes of improvement were significantly different between sites for the primary outcome measure. After controlling for baseline PROMs, septal deviation, steroid-dependent conditions, and medication use variables, enrollment site was no longer associated with significant outcome differences (P = 0.535). CONCLUSION: Comparison of surgeon outcomes of ESS is feasible and must take into account a number of baseline patient characteristics. Further studies will be critical toward developing an ESS-specific risk-adjustment model and enabling a robust comparison of surgeon outcomes. LEVEL OF EVIDENCE: 2c. Laryngoscope, 127:14-21, 2017.
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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 | 0.005 | 0.011 |
| 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 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".