Manuka honey versus saline sinus irrigation in the treatment of cystic fibrosis‐associated chronic rhinosinusitis: A randomised pilot trial
Bibliographic record
Abstract
OBJECTIVES: Manuka honey attacks biofilms, which contribute to bacterial persistence in cystic fibrosis sinusitis. The primary objective was to determine feasibility of investigating manuka honey as an irrigation treatment for cystic fibrosis sinusitis and secondarily to assess the treatment's preliminary effectiveness. DESIGN: Prospective, single-blinded (clinician only), randomised, parallel two-arm pilot trial. SETTING: Tertiary rhinology clinic. PARTICIPANTS: Subjects had recalcitrant cystic fibrosis sinusitis and previous sinus surgery. They received manuka honey or saline sinus irrigations twice daily for 30 days. MAIN OUTCOME MEASURES: Main outcomes were recruitment/retention rates and tolerability. Preliminary effectiveness was assessed based on quality-of-life Sinonasal Outcome Test-22 and Lund-Kennedy endoscopic change scores and post-treatment culture negativity. RESULTS: Over 10 months, 13 subjects were enrolled, and 77% (10/13) were included in the analysis. Manuka honey irrigations were well-tolerated. The quality-of-life change score was clinically significant for manuka honey (-9 [-14,-6]) but not saline (-5 [-9,-1]), although the difference was not statistically significant (P = .29). Lund-Kennedy endoscopic change score was significantly better for manuka honey (-3 [-5,-3]) versus saline (0 [0,0]) (P = .006). There was no difference in post-treatment culture negativity between manuka honey (1/5, 20%) and saline (0/5, 0%) (P = 1.00). CONCLUSIONS: Manuka honey irrigations were well tolerated, and retention rates were high. Preliminary data showed that manuka honey achieved a clinically important difference in quality-of-life score and a significantly better endoscopic outcome. Microbiological control was difficult to achieve. A future definitive trial would require multi-institutional recruitment.
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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 | 0.001 | 0.002 |
| 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) | 0.000 | 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 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".