Efficacy of the adjuvanted recombinant zoster vaccine (RZV) by sex, geographic region, and geographic ancestry/ethnicity: A post-hoc analysis of the ZOE-50 and ZOE-70 randomized trials
Bibliographic record
Abstract
• RZV efficacy against HZ or PHN was similar in women and men. • In ≥50-year-olds, efficacy against HZ was 95.7–97.2% across geographic regions. • In ≥70-year-olds, efficacy against HZ and PHN was 86.8–100% across geographic regions. • No major efficacy differences observed against HZ and PHN by geographic ancestry/ethnicity. • RZV efficacy against HZ and PHN in these subsets was consistent with the overall ZOE-50/70 population. Herpes zoster (HZ) risk appears to vary by sex and geographic ancestry/ethnicity. In 2 randomized clinical trials, participants received 2 doses of adjuvanted recombinant zoster vaccine (RZV) or placebo intramuscularly, 2 months apart. In this post-hoc analysis, we investigate efficacy of RZV against HZ and postherpetic neuralgia (PHN) by sex, geographic region, and geographic ancestry/ethnicity in ≥50-year-olds (ZOE-50: NCT01165177) and ≥70-year-olds (pooled data from ZOE-50 and ZOE-70: NCT01165229). Vaccine efficacy against HZ or PHN was similar in women and men. Across geographic regions, efficacy against HZ ranged between 95.7 and 97.2% in ≥50-year-olds, and between 87.3% and 95.1% in ≥70-year-olds; efficacy against PHN ranged between 86.8 and 100% in ≥70-year-olds. Across ancestral/ethnic groups, efficacy ranged between 88.1 and 100% against HZ and between 65.9 and 100% against PHN in ≥70-year-olds. While the ZOE-50/70 studies were not powered or pre-designed for these post-hoc analyses, RZV appears efficacious against HZ and PHN irrespective of sex, region, or geographic ancestry/ethnicity.
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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 | 0.013 | 0.011 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.016 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".