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Record W2791482148 · doi:10.1111/voxs.12417

Hepatitis C: from discovery to cure

2018· article· en· W2791482148 on OpenAlexaff
Y. Li, S. Li, Xiaoqiong Duan, Chunhui Yang, Min Xu, L. Chen

Bibliographic record

VenueISBT Science Series · 2018
Typearticle
Languageen
FieldMedicine
TopicHepatitis C virus research
Canadian institutionsToronto General HospitalUniversity of Toronto
FundersDepartment of Science and Technology of Sichuan Province
KeywordsHepatocellular carcinomaMedicineHepatitis C virusHepatitis CChronic hepatitisImmunologyVirologyEpidemiologyHepatitisInterferonVirusInternal medicine

Abstract

fetched live from OpenAlex

Background and Objectives With a prevalence of approximately 71 million infected individuals globally, chronic hepatitis C virus ( HCV ) infection is one of the major causes of chronic hepatitis leading to hepatocellular carcinoma ( HCC ). This review aimed to summarize the general history of HCV and provide a perspective on future journey of HCV . Materials and Methods We searched for articles published in periodicals, monographs and edited books with the key words including ‘non‐A, non‐B hepatitis’, ‘ HCV ’, ‘interferon’ and ‘direct‐antiviral agents ( DAA s)’. And the data emphasized HCV emergence, identification, treatment, epidemiology as well as the cellular and animal models leading to the eradication of HCV infections, were summarized. Results and Conclusion The battle against hepatitis C is destined to be recorded in history as one of science's remarkable success. Although the revolutionary direct‐antiviral agents ( DAA s) are able to cure more than 95% of HCV patients, access to diagnosis and therapy remains improved. More efforts should be made to promote HCV screening, treatment delivery and vaccine development.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.239
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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.

Opus teacher head0.024
GPT teacher head0.350
Teacher spread0.326 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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