Bias alone could account for benefit attributed to flu vaccine, study finds
Bibliographic record
Abstract
The reduction in mortality seen among elderly people who have been given the flu vaccine could have more to do with a “healthy user” effect than any protective value of the vaccine itself, a study has found. The researchers, from the University of Alberta in Edmonton, Canada, prospectively obtained clinical, laboratory, and functional status data and identified 1813 adults with community acquired pneumonia who were admitted to six hospitals in Alberta ( American Journal of Respiratory and Critical Care Medicine 2008;178:527-33, doi:10.1164/rccm.200802-282OC). Of these adults, 354 vaccine recipients met the inclusion criteria and were matched with 354 controls. The outcome of in-hospital mortality was examined during the months before and after the flu season, when no benefit of the flu jab would be expected. The researchers replicated a 51% mortality difference between the …
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 | 0.249 | 0.514 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.009 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".