Impact of Septal Deviation on Recurrent Chronic Rhinosinusitis after Primary Surgery: A Matched Case‐Control Study
Bibliographic record
Abstract
OBJECTIVE: To evaluate the impact of untreated deviated nasal septum (DNS) on recalcitrant chronic rhinosinusitis (CRS) among patients undergoing revision endoscopic sinus surgery (ESS). STUDY DESIGN: Case-control study. SETTING: Tertiary academic center. SUBJECTS AND METHODS: We performed a retrospective review of 489 patients undergoing revision ESS for CRS at a tertiary academic center. Patients undergoing septoplasty were matched to nonseptoplasty controls based on age and sex. Preoperative Lund-Mackay score (LMS) was compared between cohorts. Linear regression was used to identify predictors of LMS and ostiomeatal complex (OMC) obstruction. RESULTS: Thirty-six matched pairs (72 patients) were selected for analysis: 36 undergoing septoplasty and revision ESS and 36 undergoing revision ESS alone. Compared with nonseptoplasty controls, the septoplasty group had a significantly higher average LMS (17.8 vs 14.6, P = .02) and a greater rate of OMC obstruction (89% vs 61%, P < .01). The septoplasty group also had significantly higher opacification scores in the maxillary (1.5 vs 1.2, P = .03) and posterior ethmoid (1.8 vs 1.4, P = .02) sinuses. On multivariable analysis, DNS was an independent predictor of LMS ( P = .02) and OMC obstruction ( P < .01). CONCLUSION: Untreated DNS is associated with radiographic markers of CRS severity among patients undergoing revision ESS and may contribute to the multifactorial pathogenesis of persistent CRS.
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How this classification was reachedexpand
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) | 0.001 | 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) | 0.002 | 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 teacher head, 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".