Diecinueve años de vigilancia de enfermedad invasiva neumocócica en un hospital pediátrico de Mendoza, Argentina
Bibliographic record
Abstract
Five hundred and thirty-seven children admitted to Hospital Dr. Notti and diagnosed with invasive pneumococcal disease between 1993 and 2011 were studied. Their median age was 19 months (range= 0-192 months); 34.82% were <1 year old and 23.46%, >60 months old. Pneumonia with or without effusion (48.04%) and meningitis (29.05%) were the most predominant conditions, with a case fatality rate of 6.14%. Identified serotypes corresponded to 14, 5 and 1 in56.86% of cases. Sensitivity to penicillin was observed in99.74% of non-meningeal strains, while sensitivity to ceftriaxone was found in 98.08% ofmeningeal strains. Risk factors inpneumonia with effusionwere associated to age >60 months old, RR: 1.47 (1.06-2.04), p= 0.02, to serotype 5, RR: 2.57 (1.71-3.87), p= 0.0001, and to serotype 1, RR: 1.86 (1.17-2.96), p= 0.014; in the case of meningitis, risk factors were mainly associated to age <1 year old, RR: 2.35 (1.87-3.06), p= 0.0000, and to serotype 18C, RR: 2.19 (1.3-3.7), p= 0.024. Conclusion. Streptococcus pneumonia was a major problem in infants younger than one year old, who predominantly developed meningitis which caused half of deaths, and in children older than 60 months old, who had a prevalence of pneumonia with effusion. Most cases were sensitive to penicillin and ceftriaxone.
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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 | 0.002 |
| 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 | 0.001 | 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".