Bibliographic record
Abstract
Hepatitis B Virus (HBV) infection is prevalent worldwide. The prevalence is lowest (0.2-0.5%) in countries having high standard of living. About 10 million people are chronically infected with HBV in Bangladesh and it is possible that most infections occur during childhood. Overall prevalence is about 3% in Bangladesh. Perinatal transmission is more common in hyper-endemic areas of South East Asia. Chronic hepatitis B infection evolves through five phases. Most of the children belong to immune tolerant phase. About 57% patients of chronic hepatitis B are asymptomatic. Treatment of chronic hepatitis B is difficult. Decision regarding when, whom and how to treat in children is complex. Moreover, there are only limited drugs that can be used in treating chronic hepatitis B in children. Goal of therapy are to reduce viral replication, to minimize liver injury, to reduce consequence of liver injury like cirrhosis, hepatocellular carcinoma and to reduce infectivity of HBV. Treatment should be considered in chronic hepatitis B if patient have persistently elevated ALT of more than twice normal and evidence of viral replication. There are some special circumstances where treatment of chronic hepatitis B can be given in absence of standard criteria. These conditions are cirrhosis, chemotherapy, immunosuppression, presence of co-infection (HBV-HIV), family history of HCC and pregnant women with high viral load. Sero-conversion occurs in about 17-32% cases if treated with oral nucleot(s)ide analogue and in about 58% cases if treated with interferon. These expensive drugs with limited treatment success are not suitable for the people of Bangladesh. Therefore, risk factors identification and prevention of HBV infection is the logical and rational approach for a country like Bangladesh. Vaccination against HBV play central role in preventing infection. HBV vaccine has been incorporated in EPI schedule since 2004 in Bangladesh. Immunoprophylaxis of babies of HBsAg positive mother and post exposure prophylaxis are effective ways of prevention.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".