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Record W2972022538 · doi:10.1016/j.dld.2018.08.001

Recurrence of hepatocellular carcinoma after direct acting antiviral treatment for hepatitis C virus infection: Literature review and risk analysis

2018· review· en· W2972022538 on OpenAlexfundno aff
Maria Guarino, Luca Viganò, Francesca Romana Ponziani, Edoardo G. Giannini, Quirino Lai, Filomena Morisco, Alessandro Vitale, Francesco Paolo Russo, Umberto Cillo, Patrizia Burra, Claudia Mescoli, Martina Gambato, Anna Sessa, Giuseppe Cabibbo, Mauro Viganò, Giovanni Galati, Erica Villa, Massimo Iavarone, Giuseppina Brancaccio, Maria Rendina, L. Lupo, Francesco Losito, Fabio Fucilli, Marcello Persico, Roberta D’Ambrosio, Angelo Sangiovanni, Alessandro Cucchetti, Franco Trevisani e Matteo Renzulli, Luca Miele, Antonio Grieco, Gian Lodovico Rapaccini, Maurizio Pompili, Antonio Gasbarrini, Giovanni Battista Levi Sandri, Fabio Melandro, Massimo Rossi, Ilaria Lenci, Tommaso Maria Manzia, Raffaella Tortora, G.G. Di Costanzo, Rodolfo Sacco, Davide Ghinolfi, Erion Rreka, Paola Carrai, Natalia Simonetti, Carlo Sposito, Sherrie Bhoori, Stefano Di Sandro, Francesco Giuseppe Foschi, Andrea Casadei‐Gardini, Daniele Nicolini, Susanna Mazzocato, Alba Kostandini, Paola Violi, Umberto Baccarani, Riccardo Pravisani, Valter Vincenzi

Bibliographic record

VenueDigestive and Liver Disease · 2018
Typereview
Languageen
FieldMedicine
TopicHepatitis C virus research
Canadian institutionsnot available
FundersInha University HospitalKorean Association for the Study of the LiverUniversità degli Studi di MilanoUniversità degli Studi di UdineUniversità degli Studi di PalermoCanadian Association for the Study of the LiverUniversità degli Studi di SalernoUniversità Politecnica delle MarcheUniversità Degli Studi di Modena e Reggio EmilaFondazione IRCCS Ca' Granda Ospedale Maggiore PoliclinicoUniversità degli Studi di Napoli Federico IIAtsumi International Scholarship FoundationSapienza Università di Roma
KeywordsMedicineHepatocellular carcinomaCirrhosisHepatitis C virusInternal medicineOncologyHepatitis CClinical trialVirusVirology

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0050.007
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.045
GPT teacher head0.348
Teacher spread0.304 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations61
Published2018
Admission routes1
Has abstractno

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