Epidemiology of viral hepatitis in men who have sex with men in Mediterranean Europe: a region-wide sero-surveillance in Rome (Italy)
Bibliographic record
Abstract
Abstract OBJECTIVE To describe epidemiology of viral hepatitis (including HAV, HBV and HCV) among men who have sex with men (MSM) aged between 18 and 45 years and living in Lazio, an Italian Region with about 5.9 million inhabitants whose main city is Rome. METHODS A sero-survey (cross-sectional study) was conducted as part of a screening and prevention campaign for improving control of viral hepatitis in Lazio. The study enrolled 1,100 MSM people participating to the campaign. Outcome measures were serology for HAV (anti-HAV IgG and anti-HAV IgM), serology for HBV (anti-HBs, anti-HBc and HBsAg), and serology for HCV (anti-HCV). Participants’ epidemiological features were assessed for potential association with outcomes. RESULTS We found a very low prevalence of immunity against HAV and a significant exposure to high-risk behaviours, suggesting that gay community of Lazio is an ideal setting for HAV outbreaks. Prevalence of different serology profiles for HBV suggests that waning immunity and escape to mandatory vaccination still represent a significant issue in patients older than 35 years. Moreover, waning immunity suggests that patients who were vaccinated at birth may show low antibody levels. Consistently with other studies, prevalence of HCV infection was very low among young MSM. CONCLUSION Tailored vaccine programme aimed at immunizing MSM are critical to improve control of HAV in our setting. Findings on HBV epidemiology suggest that there is a need to define a clear strategy to recover patients who escaped vaccination and inform clinicians on the need to booster subjects with low immunity and high risk of exposure, such as MSM. Finally, MSM in Lazio do not represent a special group for HCV neither in terms of risk of infection nor in terms of potential issues for therapy access.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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".