Does hepatitis delta virus have a preference for hepatitis B virus genotype? A systematic review of the literature
Bibliographic record
Abstract
Hepatitis delta virus (HDV) is a deficient virus that requires the surface proteins of Hepatitis B virus (HBV) to complete its replication. HDV is thus only found in those already infected with HBV (~5% worldwide). There are eight different HDV genotypes (1-8) and 10 HBV genotypes (A-J), each having fairly distinct geographic distributions. While their pairings may be coincidental based on epidemiological occurrence, some evidence exists regarding possible virologic basis for genotype dominance and patterns. Here we sought to determine which HBV genotype is most often linked with active HDV infection and speculate on whether this may represent a viral 'preference'. Electronic databases with OVID Medline were comprehensively searched for studies published between 1977 and 2022 indexing the word 'genotype' and all permutations of 'HDV' (hepatitis D virus, hepatitis delta, etc.). Primary studies of patient samples reporting genotype data for either or both of HDV and HBV were tabulated. The initial search revealed 419 articles and was narrowed to 133 studies reporting genotype data for either or both HBV and HDV. We limited our search to cases with detectable HDV RNA. These represented over 5800 samples from over 70 countries. Of these, 1947 samples had paired genotype data for both viruses. The most common pairing was HDV-1 with HBV-D, but it remains unclear whether this represents a viral 'preference' or mere co-endemicity of the two viruses. Determining if there is a virologic link between HBV and HDV genotypes may have important implications for emerging HDV and HBV research.
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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 | 0.004 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.004 |
| Bibliometrics | 0.017 | 0.021 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".