Hepatitis A breakthrough infections despite vaccination: A systematic review and meta-analysis
Bibliographic record
Abstract
OBJECTIVES: This systematic review and meta-analysis summarized documented breakthrough hepatitis A (HepA) infections and assessed whether they occur more frequently in immunocompromised populations (ICPs). METHODS: We searched Medline, Embase, and Global Index Medicus for records on HepA breakthrough infections, defined as symptomatic HepA among previously vaccinated individuals, published 1991-2024 (PROSPERO: CRD42023450205). Risk of bias was assessed with an adapted Newcastle-Ottawa Scale. Moderate and good-quality studies were analyzed using random-effects and Bayesian hierarchical meta-analyses. The primary outcome compared the proportion of ICPs among fully vaccinated (≥50 days before symptoms) confirmed breakthrough cases to that among all virologically confirmed HepA cases. Meta-analyses assessed the proportion of breakthrough infections among confirmed cases. RESULTS: Of 3345 reports screened, 90 were included, reporting 43,861 HepA cases, including 832 (partially) vaccinated. We identified six confirmed breakthrough infections with proof of complete vaccination (6.4%; 95% confidence interval 2.6-14.3%), including four ICPs (67%). Post-vaccination serology was available in 3/6 cases: two HIV-positive patients were seronegative, and one neutropenic leukemia patient was seropositive but pauci-symptomatic. The pooled proportion of ICPs among confirmed HepA cases was 17.8% (95% confidence interval 7.7-35.9%). CONCLUSIONS: HepA breakthrough infections are rare, but appear more common among ICPs who fail to seroconvert post-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 | 0.016 | 0.037 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.020 | 0.042 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".