Chronic Suppurative Otitis Media in a Birth Cohort of Children in Greenland
Bibliographic record
Abstract
BACKGROUND: Inuits of the Arctic experience very high rates of chronic suppurative otitis media (CSOM), yet world-wide, very little is known about the epidemiology of CSOM. The study aims were to determine incidence, median age at debut, risk factors, and associated population attributable risks for CSOM in young children in Sisimiut, the second biggest town of Greenland (population 5400), where living conditions are relatively western and approximately 90% are Inuits. METHODS: A population-based birth cohort of 465 children aged between 0 and 4 years was followed for a 2-year period (1996 to 1998), and cases of CSOM were registered based on medical history and clinical examinations. Kaplan-Meier curves were used for estimations of cumulative risk and Cox regression analyses for hazard rates associated with risk factors. RESULTS: Cumulative risk of CSOM at 4 years of age was 14%, and median age at debut was 336 days. Risk factors were attending childcare centers (hazard ratio [HR]: 3.18, 95% confidence interval [CI]: 1.53- 6.61), having smokers in the household (HR: 4.56, 95% CI: 1.07-19.4), having a mother who reported a history of purulent ear discharge (3.27, 95% CI: 1.74-6.13), having a high burden of upper respiratory tract infections (HR: 1.19, 95% CI: 1.03-1.37), and being Inuit (HR: 5.56, 95% CI: 0.78-50). CONCLUSIONS: Greenlandic children have high rates of CSOM with debut early in life, but the identified risk factors and the associated population attributable risks indicate that preventive measures regarding use of childcare centers and passive smoking may reduce the high frequency of CSOM in this high-risk population.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".