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Record W4303470808 · doi:10.1159/000527403

Regorafenib versus Cabozantinib as a Second-Line Treatment for Advanced Hepatocellular Carcinoma: An Anchored Matching-Adjusted Indirect Comparison of Efficacy and Safety

2022· article· en· W4303470808 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueLiver Cancer · 2022
Typearticle
Languageen
FieldMedicine
TopicHepatocellular Carcinoma Treatment and Prognosis
Canadian institutionsEVRAZ (Canada)
FundersEuropean CommissionEuropean Federation of Pharmaceutical Industries and AssociationsUniversity of Pittsburgh
KeywordsRegorafenibCabozantinibDiscontinuationMedicineHepatocellular carcinomaSorafenibHazard ratioPropensity score matchingAdverse effectInternal medicineOncologySurgeryConfidence intervalCancerColorectal cancer

Abstract

fetched live from OpenAlex

Introduction: The tyrosine kinase inhibitors regorafenib and cabozantinib remain the mainstay in second-line treatment of advanced hepatocellular carcinoma (HCC). There is currently no clear evidence of superiority in efficacy or safety to guide choice between the two treatments. Methods: We conducted an anchored matching-adjusted indirect comparison using individual patient data from the RESORCE trial of regorafenib and published aggregate data from the CELESTIAL trial of cabozantinib. Second-line HCC patients with prior sorafenib exposure of ≥3 months were included in the analyses. Hazard ratios (HRs) and restricted mean survival time (RMST) were estimated to quantify differences in overall survival (OS) and progression-free survival (PFS). Safety outcomes compared were rates of grade 3 or 4 adverse events (AEs), occurring in >10% of patients, and discontinuation or dose reduction due to treatment-related AEs. Results: After matching adjustment for differences in baseline patient characteristics, regorafenib showed a favorable OS (HR, 0.80; 95% CI: 0.54, 1.20) and ∼3-month-longer RMST over cabozantinib (RMST difference, 2.76 months; 95% CI: -1.03, 6.54), although not statistically significant. For PFS, there was no numerical difference in HR (HR, 1.00; 95% CI: 0.68, 1.49) and no clinically meaningful difference based on RMST analyses (RMST difference, -0.59 months; 95% CI: -1.83, 0.65). Regorafenib showed a significantly lower incidence of discontinuation (risk difference, -9.2%; 95% CI: -17.7%, -0.6%) and dose reductions (-15.2%; 95% CI: -29.0%, -1.5%) due to treatment-related AEs (any grade). Regorafenib was also associated with a lower incidence (not statistically significant) of grade 3 or 4 diarrhea (risk difference, -7.1%; 95% CI: -14.7%, 0.4%) and fatigue (-6.3%; 95% CI: -14.6%, 2.0%). Conclusion: This indirect treatment comparison suggests, relative to cabozantinib, that regorafenib could be associated with favorable OS (not statistically significant), lower rates of dose reductions and discontinuation due to treatment-related AEs, and lower rates of severe diarrhea and fatigue.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.631
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.111
GPT teacher head0.328
Teacher spread0.217 · 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