How Many Individuals with Asthma Need to Be Vaccinated to Prevent One Case of Invasive Pneumococcal Disease?
Bibliographic record
Abstract
BACKGROUND: The American Advisory Committee on Immunization Practices recommended the inclusion of adults with asthma in the high-risk category for pneumococcal vaccination based on a twofold increase in risk of invasive pneumococcal disease (IPD). OBJECTIVE: To determine whether, among individuals with asthma, the number needed to vaccinate (NNV) using pneumococcal conjugate vaccine (PCV)-13 or 23-valent pneumococcal polysaccharide vaccine (PPV-23) warrants its addition to the high-risk category for pneumococcal vaccination in Canada. METHODS: Using IPD incidence (per 10,000 individuals) figures from published articles (4.2 in high-risk asthmatics, 2.3 in low-risk asthmatics and 1.2 in healthy individuals), the NNV to prevent one case of IPD in asthmatics five to 17 years of age and 18 to 50 years of age was calculated, factoring in the proportion of pneumococcal serotypes included in vaccines (based on data from Quebec) and accounting for the possibility of waning vaccine efficacy (VE) using four scenarios. RESULTS: Assuming a VE of 65% for PCV-13 in asthmatics, the NNV would be 704 to 820 in low-risk and 386 to 449 in high-risk children; and 355 to 1532 in low-risk and 195 to 839 in high-risk adults (range depends on waning scenario). Assuming a VE of 65% for PPV-23 in asthmatics, the NNV would be 581 to 677 in low-risk and 318 to 371 in high-risk children; and 246 to 1059 in low-risk and 135 to 580 in high-risk adults. CONCLUSION: The NNV with both PCV-13 and PPV-23 in asthmatic children and adults is comparable with that of other high-risk conditions such as age ≥65 years. Therefore, the addition of asthma to the list of high-risk conditions for pneumococcal vaccination is warranted.
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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".