A practitioner’s guide to the recombinant zoster vaccine: review of national vaccination recommendations
Bibliographic record
Abstract
INTRODUCTION: The adjuvanted recombinant zoster vaccine (RZV) is currently licensed in over 30 countries for the prevention of herpes zoster (HZ) in adults aged ≥50 years. We conducted a review of available national guidelines or recommendations on RZV use to identify the similarities and differences and highlight any potential gaps. AREAS COVERED: National recommendations from ten countries (Austria, Canada, the Czech Republic, Germany, Ireland, Italy, Spain, the Netherlands, the UK and the USA) are summarized under the following seven topics: HZ vaccine preference, age group recommendations, considerations prior to vaccination, dose schedule, co-administration with other vaccines, vaccination of special populations, and vaccine safety profile. In seven of these countries, RZV is the preferred or the only recommended HZ vaccine. There were some differences in age group recommendations, reflecting evaluations dependent on public funding. There were also differences with respect to use in immunocompromised and other special populations. EXPERT OPINION: The high efficacy and anticipated public health impact of RZV led to expanded national recommendations for RZV vaccination compared to previous HZ recommendation in many countries. Possible areas that could be considered in future revisions of national recommendations, including use in immunocompromised adults ≥18 years, are also highlighted.
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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 | 0.003 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.007 | 0.005 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.027 | 0.012 |
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".