Cancer incidence among firefighters: 45 years of follow-up in five Nordic countries
Bibliographic record
Abstract
Objective Identify the risk factors for otitis media with effusion (OME), especially laryngopharyngeal reflux (LPR), adenoid hypertrophy and allergic rhinitis, that could be used to develop prevention strategies in children. Design A comparative cross-sectional study was conducted to make sure the adequacy of proportions of OME and non-OME cases in finding the related factors. Setting History taking, ear/nose/throat (ENT) examination, and tympanometry were performed in preschool and elementary schools. Flexible fibreoptic nasopharyngolaryngoscopy was performed in a bronchoesophagology outpatient clinic in a tertiary referral hospital in Jakarta, Indonesia. Participants Preschool and elementary children in East Jakarta, Indonesia were recruited for this study. A total of 2016 participants underwent history taking, ENT examination and tympanometry. The case group was 46 children with OME, and the control group was 46 children without OME. The number of subjects fulfilled the minimum sample size for two proportions comparison. Main outcome measures A type B tympanogram indicated OME. A Reflux Finding Score of more than 7 indicated LPR. Adenoid hypertrophy was diagnosed using flexible fibreoptic nasopharyngolaryngoscopy. Allergic rhinitis was diagnosed using a questionnaire based on the International Study of Asthma and Allergies in Childhood phase III that has been validated for Indonesians. Results The proportion of LPR in the OME group was significantly higher than in the non-OME group, at 78.3% and 52.2%. The probability of OME occurrence in patients with LPR was 3.3 times higher than in patients without LPR (OR 3.3; 95% CI 1.33 to 8.189; p=0.01). There was no significant relationship between adenoid hypertrophy and OME (p=0.211; 95% CI 0.71 to 3.97), and also between allergic rhinitis and OME (p=0.463; 95% CI 0.61 to 4.28). Conclusion The probability of OME occurrence in patients with LPR was 3.3 times higher than in patients without LPR. LPR should be considered in patients with OME and vice versa.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".