Juvenile respiratory papillomatosis: Risk factors for severity
Bibliographic record
Abstract
Juvenile recurrent respiratory papillomatosis is caused mainly by human papillomavirus genotypes 6 or 11, acquired at birth or during pregnancy from an infected mother. Recurrent respiratory papillomatosis is characterized by recurring warts growing most commonly in the larynx. Multiple surgical procedures and the risk of airway obstruction contribute to the devastating impact of this disease. Some children will go into remission after a few surgeries whereas others will require repeated interventions over several years. Further understanding of the risk factors associated with severity may contribute to tailored treatments. A retrospective study of cases diagnosed between January 1995 and December 2008 was conducted to study determinants of severe forms of juvenile recurrent respiratory papillomatosis. Demographic and clinical variables were abstracted from children's medical charts and mothers' delivery charts. Viral factors (HPV genotyping and viral load) were studied from archived biopsies. Specific HLA class II alleles and killer-cell immunoglobulin-like receptors genes were tested from saliva samples. Logistic regression was performed to identify risk factors for severity. Overall, 31 pediatric cases of recurrent respiratory papillomatosis were identified. The only significant factor associated with severe forms of recurrent respiratory papillomatosis was the maternal history of condylomas during pregnancy (OR: 12.05 [P=0.05]). The analysis failed to identify risk factors that could be used clinically to identify recurrent respiratory papillomatosis cases likely to take a severe course. Although too early to determine, vaccination against the HPV types involved most commonly in recurrent respiratory papillomatosis may provide the best hope to prevent severe forms of this disease.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".