Adjuvant antiviral therapy for recurrent respiratory papillomatosis
Bibliographic record
Abstract
BACKGROUND: Recurrent respiratory papillomatosis is a condition characterised by benign papillomatous (wart-like) growths in the upper airway. It can affect both adults and children causing airway-obstruction and voice change. Treatment usually involves repeated surgical debulking of the papillomata, and several agents have been proposed as adjuvants to surgical debulking. These include antivirals, administered systemically or injected into the lesions. OBJECTIVES: To assess the effectiveness of antiviral agents as adjuvant therapy in the management of recurrent respiratory papillomatosis in children and adults. SEARCH STRATEGY: We searched the Cochrane Central Register of Controlled Trials (The Cochrane Library, Issue 3, 2004), MEDLINE (January 1966 to November 2004), and EMBASE (January 1985 to November 2004) in December 2004. We checked reference lists of articles, contacted pharmaceutical companies and contacted leading experts in the field for further studies. SELECTION CRITERIA: All randomised controlled trials. DATA COLLECTION AND ANALYSIS: One hundred references were identified from the searches. Twenty-five were appropriate for retrieval and assessed for eligibility by the authors. None met the inclusion criteria. MAIN RESULTS: No controlled trials were identified. AUTHORS' CONCLUSIONS: There was insufficient evidence from controlled trials on which to base reliable conclusions about the effectiveness of antiviral agents as adjuvant therapy in the management of recurrent respiratory papillomatosis. Further research is required before any specific antiviral adjuvant therapy can be recommended.
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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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.006 | 0.003 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".