An overview of new data on the relative effectiveness of flu vaccines in vulnerable populations
Bibliographic record
Abstract
As healthcare professionals prepare for flu season in a pandemic year, the results of three large, population-based U.S. studies now provide comparisons of the relative effectiveness (rVE) of the available flu vaccine formulations in high-risk patients. In a study published in August 2020, a vast retrospective cohort analysis of almost 2 million U.S. patients over 65 years old compared adjuvanted to non-adjuvanted flu vaccine. In September, 2020, a prospective study in 823 U.S. nursing homes provided a similar comparison in more than 50,000 patients. Also last month, a retrospective cohort analysis of over 3 million U.S. patients yielded rVE data for egg-based versus cell-based vaccines in high-risk patients aged 4–64. The goal of this literature alert is to provide an overview of these new studies to Canadian healthcare professionals preparing for this year’s flu season.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".