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Record W4252784260 · doi:10.5604/01.3001.0009.8585

The Direct-Acting Antivirals for Hepatitis C Virus and the Risk for Hepatocellular Carcinoma

2017· article· en· W4252784260 on OpenAlexaff
Paulina Chinchilla-López, Xingshun Qi, Eric M. Yoshida, Nahúm Méndez‐Sánchez

Bibliographic record

VenueAnnals of Hepatology · 2017
Typearticle
Languageen
FieldMedicine
TopicHepatitis C virus research
Canadian institutionsUniversity of British ColumbiaVancouver General Hospital
Fundersnot available
KeywordsMedicineHepatocellular carcinomaHepatitis C virusObservational studyInternal medicineHepatitis CRisk factorOncologyIntensive care medicineVirologyVirus

Abstract

fetched live from OpenAlex

The increase of incidences of Hepatocellular Carcinoma (HCC) will continue in the next decades. The therapies about hepatitis C infection has been questioned as a risk factor. Some authors emphasized that sustained virologic response (SVR) with interferon-based therapy reduced the risk of developing HCC. In contrast, some publications that to suggest an increasing risk of HCC in patients treated with Direct-Acting Antivirals (DAA). Whether these therapies are associated with an increased risk of HCC remains to be studied and continued long-term observational studies will be needed. The goal in HCV care needs to go beyond merely achieving an SVR.

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)0.002
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.725
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
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 head0.108
GPT teacher head0.390
Teacher spread0.282 · 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.

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

Citations8
Published2017
Admission routes1
Has abstractyes

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