Quality of Life Impact of an Adjuvanted Recombinant Zoster Vaccine in Adults Aged 50 Years and Older
Bibliographic record
Abstract
BACKGROUND: To determine the efficacy of an adjuvanted recombinant zoster vaccine in reducing the herpes zoster (HZ) burden of illness, HZ burden of interference with activities of daily living, and HZ impact on quality of life. METHODS: The assessments were integrated in two Phase III trials, ZOE-50 (NCT01165177) and ZOE-70 (NCT01165229). HZ burden of illness and HZ burden of interference with activities of daily living were assessed by the Zoster Brief Pain Inventory (ZBPI) instrument and quality of life by the EuroQol-5 Dimension (EQ-5D) utility index and the SF-36 health survey. We report the ZOE-50 results and a pooled analysis of patients aged 70 years and older from the trials combined. RESULTS: The estimated vaccine efficacy in reducing HZ burden of illness and HZ burden of interference was greater than 90% in both the ZOE-50 and the pooled ZOE-70 analysis. In confirmed HZ cases, adjuvanted recombinant zoster vaccine reduced the maximal ZBPI worst-pain score in the pooled ZOE-70 analysis (p = .032) and the maximal ZBPI average-pain scores in both the ZOE-50 (p = .049) and the pooled ZOE-70 analysis (p = .043). In breakthrough HZ cases, trends for diminished loss of quality of life compared with placebo-recipient HZ cases were observed, with differences up to 0.14 on the EQ-5D index at time points during the 4 weeks following HZ onset. CONCLUSIONS: Adjuvanted recombinant zoster vaccine reduced the HZ burden of illness significantly, particularly due to its very high vaccine efficacy in preventing HZ. For breakthrough HZ cases, the results suggest that the adjuvanted recombinant zoster vaccine mitigated severity of HZ-related pain, burden of interference with activities of daily living, and recipients' utility loss.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".