Dilemmas With Rotavirus Vaccine: The Neonate and Immunocompromised
Bibliographic record
Abstract
Rotavirus (RV) is the leading cause of severe gastroenteritis in young children. However, because the incorporation of live-attenuated RV vaccines as part routine childhood immunization schedules, the rates of hospitalization from RV infections have decreased significantly across the globe. While RV vaccine safety and effectiveness have been well documented in the general population, there is controversy surrounding its use in preterm and immunocompromised infants. In this article, we review current research and consensus statements on the safety of the RV vaccine, the immunogenicity of the response and the potential for transmission and shedding of the virus postvaccination in both preterm infants and immunocompromised infants. RV vaccines are well tolerated in hospitalized preterm infants with no significant increase in nosocomial infections, gastrointestinal complications or feeding difficulties. In select immunocompromised infants (such as HIV-infected or HIV-exposed infants), RV vaccine administration did not increase the rate of adverse events. However, multiple case reports noted increased rates of adverse events in infants with severe combined immunodeficiency. The risk of viral shedding and transmission between vaccinated neonates and household contacts remain low and does not outweigh the benefit of vaccination.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".