Comparison of Corticosteroids Effectiveness via High Volume Nasal Irrigation versus Conventional Nasal Spray after Endoscopic Sinus Surgery in Nasal Polyposi
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Bibliographic record
Abstract
Objective: To compare the efficacy of two different methods of topical corticosteroid delivery techniques; conventional nasal spray versus high volume nasal irrigation with squeeze bottle, post-operatively in patients of nasal polyposis. Study Design: Quasi-experimental study. Place and Duration of Study: Department of Ear Nose Throat, Combined Military Hospital, Kohat Pakistan, from Sep 2021 to Aug 2022. Methodology: A total of 80 patients diagnosed with nasal polyposis were recruited for this study. Selected patients were divided into two equal groups. Pre-operatively all patients were carefully assessed with the help of Sino-nasal outcome test 22 (SNOT 22) and Lund Kennedy Endoscopy score for severity of symptoms. Post-operatively, Group-A received Betamethasone via high volume irrigation by squeeze bottle whereas Group-B received the Beclomethasone via conventional nasal spray. This treatment plan continued for 3 months. Post-operatively, SNOT 22 and Lund Kennedy Endoscopy score assessment was carried out at 3 months. Results: Both groups were comparable with respect to demographic data. In Group-A pre-op median and interquartile range for SNOT score was 68 and 10 respectively and it was reduced to 14 and 5 post-operatively, whereas in Group-B, it was 68 and 10; 27 and 5.5 pre and post-operatively. Post-operative difference was significant (p-value=0.001). Similarly, in Group-A, pre and post-operative median and interquartile range for LKE score 6 and 1 respectively and 2 and 0, whereas in Group-B it was 6.22 and 0.4 and 1.5 with statistically significant post-operative difference (p-value=0.001). Conclusion: High volume irrigation with squeeze bottle is more effective method of delivering....
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it