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Record W2248148595

Prevention and Management of Chronic Hepatitis B.

2014· article· en· W2248148595 on OpenAlexaff
Mamatha Bhat, Peter Ghali, Marc Deschênes, Philip Wong

Bibliographic record

VenuePubMed · 2014
Typearticle
Languageen
FieldMedicine
TopicHepatitis B Virus Studies
Canadian institutionsRoyal Victoria Hospital
Fundersnot available
KeywordsMedicineHepatocellular carcinomaCirrhosisHepatitis B virusNatural historyHepatitis BVaccinationLiver transplantationLiver diseaseLimitingDiseasePublic healthLiver cancerImmunologyIntensive care medicineInternal medicineTransplantationVirusPathology
DOInot available

Abstract

fetched live from OpenAlex

Chronic hepatitis B virus (HBV) infection affects an estimated 370 million people worldwide. HBV is endemic throughout the world, and insidiously causes liver damage over years and decades without any warning symptoms or signs. Up to 25-35% of infected individuals eventually die due to complications of liver cirrhosis and hepatocellular carcinoma (HCC) induced by HBV. Screening those individuals at risk of acquiring hepatitis B, and universal vaccination for prevention, would help in limiting the spread and public health repercussions of the virus. Although many new antiviral therapies have been developed for the management of hepatitis B, they still do not offer the possibility of cure. Most individuals who begin oral suppressive therapy will be indefinitely treated. Continuous suppression of HBV replication in individuals with advanced liver disease prolongs life, decreases the need for liver transplantation, and potentially reduces the risk for HCC. In this clinical review, we present a practical approach to prevention of HBV, its natural history and life cycle, as well as its management.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.735
Threshold uncertainty score0.173

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.019
GPT teacher head0.247
Teacher spread0.228 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations22
Published2014
Admission routes1
Has abstractyes

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