Vaccines for the prevention of meningococcal capsular group B disease: What have we recently learned?
Bibliographic record
Abstract
Meningococcal disease remains a feared and devastating cause of sepsis and meningitis. Disease incidence is highest among infants and children although a significant burden of disease is experienced by adolescents, young adults and those with specific risk-factors. Prevention of disease against capsular groups A, C, W and Y; 4 of the 5 most pathogenic groups is achievable using capsular polysaccharide vaccines. It has only recently been possible to provide protection against capsular group B (MenB) strains following the licensure of a 4 component group B vaccine (4CMenB) in Europe in 2013. Following licensure, 4CMenB has been used in specific at-risk groups and in response to outbreaks of MenB disease. The largest outbreak interventions have been in students at 2 universities in the United States and for all individuals aged 2 months to 20 years of age in Quebec, Canada. The vaccine was recommended in February 2014 for implementation into the UK infant schedule at 2, 4 and 12 months of age, although it has taken over 12 months to resolve procurement discussions to enable implementation. The UK recommendation incorporates prophylactic paracetamol with infant doses when 4CMenB is administered concomitantly with routine vaccines. This is based on recent data demonstrating the ability of paracetamol to reduce fever rates to background levels without impacting immunogenicity. Post-implementation surveillance will be important to provide vaccine efficacy data as this was not possible to determine in pre-licensure studies due to the relative infrequency of MenB cases.
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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 | 0.006 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.003 | 0.006 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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".