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Record W4403953893 · doi:10.1093/infdis/jiae541

Hepatitis B Virus RNA as a Biomarker for Safe Antiviral Discontinuation: A Prospective Study of Nucleos(t)ide Analogue Withdrawal

2024· article· en· W4403953893 on OpenAlexaff
Norah A. Terrault, Richard K. Sterling, Anna S. Lok, Marc G. Ghany, Jordan J. Feld, Gavin Cloherty, Abdus S. Wahed, Xue Yang

Bibliographic record

VenueThe Journal of Infectious Diseases · 2024
Typearticle
Languageen
FieldMedicine
TopicHepatitis B Virus Studies
Canadian institutionsToronto General HospitalUniversity of TorontoUniversity Health Network
FundersAbbott DiagnosticsNational Institutes of Health
KeywordsMedicineHBsAgDiscontinuationInternal medicineProspective cohort studyGastroenterologyHepatitis BHepatitis B virusImmunologyVirus

Abstract

fetched live from OpenAlex

BACKGROUND: Withdrawal of nucleos(t)ide analogue therapy is associated with hepatitis B surface antigen (HBsAg) loss and sustained off-therapy partial cure (normal alanine aminotransferase [ALT] ≤30 U/L for males and ≤20 U/L for females with hepatitis B virus [HBV] DNA <2000 IU/mL) but should be offered only to those most likely to benefit. HBV RNA may be useful for risk stratification. METHODS: The Hepatitis B Research Network Immune-Active Trial prospectively evaluated treatment with tenofovir disoproxil fumarate (TDF) for 192 weeks ± peginterferon alfa-2a for the initial 24 weeks, followed by protocolized withdrawal of TDF among eligible participants (ClinicalTrials.gov NCT01369212). HBV RNA was evaluated as a predictor of ALT flares and sustained partial cure (HBV DNA <2000 IU/mL) 48 weeks after TDF withdrawal. RESULTS: Of 93 participants discontinuing TDF (n = 52, TDF + peginterferon alfa-2a; n = 41, TDF alone), 52 (55.9%) had unquantifiable HBV RNA at end of treatment. ALT flares >5 times the upper limit of normal at 48 weeks off therapy occurred in 33.3%, with pretreatment age (≥35 years) and quantifiable HBV RNA at end of treatment the best predictors (area under the receiver operating characteristic curves, 0.74 and 0.85 for training and test sets, respectively). A total of 26 (28.3%) had sustained partial cure, 3 (11.5%) with ALT flare. Nonquantifiable HBV RNA and quantitative HBsAg <100 IU/mL at end of treatment were the best predictors of sustained partial cure (area under the receiver operating characteristic curves, 0.84 and 0.93 for training and test sets). If HBV RNA was quantifiable at end of treatment, the likelihood of sustained partial cure was only 3%, whereas if HBV RNA was unquantifiable and quantitative HBsAg was <100 IU/mL, this likelihood was 73%. CONCLUSIONS: HBV RNA is a useful biomarker in predicting likelihood of achieving sustained partial cure and safe withdrawal of nucleos(t)ide analogues.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.301
Teacher spread0.288 · 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 source (direct Gemma or distilled Codex), 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

Citations4
Published2024
Admission routes1
Has abstractyes

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