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Record W2008880186 · doi:10.2217/hep.13.10

Systemic therapy for hepatocellular carcinoma

2013· review· en· W2008880186 on OpenAlexaff
Mairéad G. McNamara, Jennifer J. Knox

Bibliographic record

VenueHepatic Oncology · 2013
Typereview
Languageen
FieldMedicine
TopicHepatocellular Carcinoma Treatment and Prognosis
Canadian institutionsPrincess Margaret Cancer Centre
FundersPfizer
KeywordsMedicineHepatocellular carcinomaInternal medicineSystemic therapyOncologyGastroenterologyCancerBreast cancer

Abstract

fetched live from OpenAlex

Optimal treatment of hepatocellular carcinoma (HCC) is clinically challenging. Systemic treatment for advanced HCC was limited until the approval of sorafenib. This discovery resulted in the advent of many clinical trials. An ongoing Phase III trial is examining the benefit of adjuvant sorafenib. Utilization of doxorubicin-eluting bead embolization may offer safer treatment in eligible HCC patients. The use of systemic treatment peritransarterial chemoembolization is also being investigated. Many targeted therapies are being explored as first-/second-line treatment options in advanced HCC. The potential benefit of c-MET inhibitors, particularly in those with advanced, MET high expression HCC, may result in new systemic patient-directed targeted medicinal approaches. Remaining dilemmas query the appropriate management of patients with advanced Child-Pugh B, HCC and those recurring post-transplant.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.003

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 head0.187
GPT teacher head0.360
Teacher spread0.173 · 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 designNot applicable
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

Citations3
Published2013
Admission routes1
Has abstractyes

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