MP711HEPATITIS B VACCINATION RESPONSE: DOES HEMODIALYSIS START TIME MATTER?
Bibliographic record
Abstract
INTRODUCTION AND AIMS: Hepatitis B vaccine (HBVacc) administration in chronic hemodialysis (HD) patients is important. Due to the fact that HD patients regularly undergo extracorporeal blood-cleansing therapy, they are at a higher risk of contracting hepatitis B (HepB). Abnormalities in immune response as a result of uremia and other comorbidities associated with end stage kidney disease, mean that HD patients have a lower HBVacc response rate than their healthy counterparts. It was found that patients who start HD early in the day have significantly disturbed sleep-wake patterns [1]. Given the association between sleep and vaccination response in the healthy population, we wanted to study if HD treatment start time is associated HBVacc response in HD patients [2]. MP711 Figure 2 MP711 Figure 1 CONCLUSIONS: Early HD start time is associated with HBVacc response, but this effect disappears in the multivariate regression model. In our study cohort, those with an early HD start time were younger, more likely to be male, and had a longer HD vintage - all of which were associated with HBVacc response. In order to truly detect if there is an advantage to being vaccinated earlier in the day vs later, randomly controlled prospective studies or observational studies with very careful matching are required. REFERENCES 1. Han, M., et al., Quantifying Physical Activity Levels and Sleep in Hemodialysis Patients Using a Commerically Available Activity Tracker. Blood Purif, 2016. 41(1-3); p. 194-204. 2. Lang, T., et al., Sleep after vaccination boosts immunological memory. J Immunol, 2011. 187(1): p.283-90
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 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".