The pandemic H1N1 influenza vaccine results in low rates of seroconversion for patients with hematological malignancies
Bibliographic record
Abstract
Patients with hematological malignancies are at increased risk of influenza and its complications, but evidence for the efficacy of influenza vaccination in this population is limited. We sought to determine whether patients being treated for hematological malignancies were able to mount protective antibodies to the H1N1 influenza vaccine. Pre- and post-vaccination plasma samples were collected from patients with hematological malignancies during the 2009-2010 influenza season. Seroconversion was defined as a four-fold increase in antibody titer, as measured by the hemagglutinin inhibition test. Sixty-two patients received the H1N1 vaccine and 41 patients were unvaccinated controls. The rate of seroconversion among vaccinated patients was 21%, which was significantly higher than that in unvaccinated patients (0%), but significantly lower than that previously reported for healthy adults. Physicians should be aware that influenza vaccination may not generate an immune response in patients with hematological malignancies. Larger studies are required to confirm these results.
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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 | 0.001 | 0.004 |
| 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) | 0.001 | 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".