Population-based comparative epidemiological survey of hepatitis B, D, and C among Inuit migrated to Denmark and in high endemic Greenland
Bibliographic record
Abstract
Karsten Fleischer Rex*ab, Henrik B Krarupc, Peter Laurbergd & Stig Andersenaba Department of Internal Medicine, Queen Ingrid's Hospital, Nuuk, Greenlandb Aalborg University Hospital, Arctic Health Research Centre, Denmarkc Department of Clinical Biochemistry, Aalborg University Hospital, Denmarkd Department of Endocrinology, Aalborg University Hospital, DenmarkCorrespondence: Karsten Fleischer Rex, MD, Department of Internal Medicine, Queen Ingrids Hospital, Box 3333, 3900 Nuuk, Greenland. +299344000. karsten_rex@hotmail.com Abstract Objective. Infection with hepatitis B virus (HBV) is endemic among Arctic populations where it may have a benign course. However, the relation of HBV to migration to low endemic areas is unknown, as it is for hepatitis D and C, and details on the influence of delta virus at a population level are lacking. Material and methods. Population-based investigation of Greenlanders living in Denmark (n = 136) and in Greenland (n = 441). We tested for HBsAg, anti-HBs, anti-HBc, HBeAg, anti-HBe, HBV-DNA, HBV genotypes, anti-HDV, HDV-RNA, anti-HCV, HCV-Elisa test, HCV-RNA, aspartate aminotransferase, gamma-glutamyl transferase, bilirubin, and albumin, and performed a physical examination. Results. Participation rate was 52/95% in Denmark/Greenland. Half of participants in Denmark had lived more than half of their lives in Denmark, and 54.5% had been exposed to HBV. This was similar to 53% among Greenlanders living in West Greenland (p = 0.76). HBsAg was positive in 4.4% of Greenlanders in Denmark (n = 6), who all were anti-HBe positive and had low viral load. Serological signs of HBV infection associated with having both parents born in Greenland (p = 0.007) and with IV drug use (p = 0.03). We found serological signs of HDV exposure among participants in Denmark/Greenland in 0.7/1.1% (n = 1/5) and HCV exposure in 1.5/0.0% (n = 2/0). Liver biochemistry was elevated in Greenlanders exposed to HDV. Conclusions. Hepatitis B, D, and C occurrences among Greenlanders in Denmark mirrored that of Greenland. Importantly, previously undetected exposure to delta virus associated with elevated liver biochemistry, and the introduction of delta virus is a liability to Greenlanders and to Greenland.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".