Response to ‘Benefits of glucocorticoids in the treatment of bacterial meningitis in children: End of the controversy?’
Bibliographic record
Abstract
I appreciate the opportunity to comment once more on the issue of corticosteroid therapy in children with meningitis and to respond to the criticism of my recent commentary on the subject (1). I am heartened that my comments have generated some debate. Sébire and Cyr (1) were surprised that I doubted the benefit of corticosteroids for pneumococcal meningitis in children. Any opinions that I expressed were my own and I take complete responsibility for them. However, I should note that I am not alone in my opinion or preferred action. A recent survey of Canadian paediatric infectious diseases specialists found that only a minority (34%) would recommend corticosteroid therapy for suspected pneumococcal meningitis (2). More telling, a review of cases of pneumococcal meningitis from six tertiary care paediatric centres across Canada in the 1990s found that empirical corticosteroid use declined sharply over the decade, from 73% of cases in 1991 to 1993, to 21% of cases in 1994 to 1996, to just 5% of cases in 1997 to 1999 (3). Of course, it was during the 1990s that Haemophilus influenzae type b meningitis (for which the value of corticosteroids is more clear cut) essentially disappeared in Canada, thanks to universal immunization (4,5).
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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 | 0.012 | 0.085 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.007 | 0.003 |
| Research integrity | 0.057 | 0.070 |
| Insufficient payload (model declined to judge) | 0.009 | 0.007 |
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".