Vaccination with a multicomponent meningococcal B vaccine in prevention of disease in adolescents and young adults
Bibliographic record
Abstract
Vaccination programs employing capsular-based meningococcal vaccines have proved successful in a variety of settings globally since first introduced over 40 years ago. Similar successes have been demonstrated using meningococcal vaccines for use against serogroup B (MenB) outbreak strains but the diversity of MenB strains has limited vaccine use outside targeted geographic regions. MenB continues to be a significant cause of outbreaks in adolescents and young adults, as recently demonstrated in university settings in the US (Princeton, New Jersey and Santa Barbara, California) and has the potential for hyperendemic disease levels such as currently experienced in Québec and the United Kingdom. In adolescents, increased endemic disease rates and outbreak potential are likely associated with social behaviors putting individuals at risk for carriage acquisition and may explain regional and temporal variations in epidemiology. A protein-based, multi-component MenB vaccine (4CMenB) is currently licensed for use in 37 countries including EU/EEA countries, Australia, Canada, Chile, Colombia, Uruguay, and the US. In this article we review the most recent clinical trial data with 4CMenB with a focus on adolescents and young adults. The vaccine appears to have an acceptable safety profile and is well-tolerated in adolescents and young adults while providing robust, persistent levels of bactericidal antibodies considered protective for each of the four antigenic components of the vaccine. With the recent availability of this vaccine, health care providers have the first comprehensive opportunity to control meningococcal disease, a highly disruptive public health problem with a disproportionate impact on adolescents and young adults.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".