A Systematic Review and Network Meta-Analysis of Second-Line Therapy in Hepatocellular Carcinoma
Bibliographic record
Abstract
Background: In patients with advanced hepatocellular carcinoma (hcc) following sorafenib failure, it is unclear which treatment is most efficacious, as treatments in the second-line setting have not been directly compared and no standard therapy exists. This systematic review and network meta-analysis (nma) aimed to compare the clinical benefits and toxicities of these treatments. Methods: A systematic review of randomized controlled trials (rcts) was conducted to identify phase iii rcts in advanced hcc following sorafenib failure. Baseline characteristics and outcomes of placebo were examined for heterogeneity. Primary outcomes of interest were extracted for results, including overall survival (os), progression-free survival (pfs), objective response rate (orr), grade 3/4 toxicities, and subgroups. An nma was conducted to compare both drugs through the intermediate placebo. Comparisons were expressed as hazard ratios (hrs) for os and pfs, and as risk difference (rd) for orr and toxicities. Subgroup analyses for os and pfs were also performed. Results: Two rcts were identified (1280 patients) and compared through an indirect network; celestial (cabozantinib vs. placebo) and resorce (regorafenib vs. placebo). Baseline characteristics of patients in both trials were similar. Both trials also had similar placebo outcomes. Cabozantinib, compared with regorafenib, showed similar os [hazard ratio (hr): 1.21; 95% confidence interval (ci): 0.90 to 1.62], pfs (hr: 1.02; 95% ci: 0.78 to 1.34) and orr (-3.0%; 95% ci: -7.6% to 1.7%). Both treatments showed similar toxicities, but there were marginally higher risks of grade 3/4 hand-foot syndrome (5%; 95% ci: 0.1% to 9.8%), diarrhea (4.8%; 95% ci: 1.1% to 8.5%), and anorexia (4.4%; 95% ci: 0.8% to 8.0%) for cabozantinib. Subgroup results for os and pfs were consistent with overall results. Conclusions: Overall, this nma determined that cabozantinib and regorafenib have similar clinical benefits and toxicities for second-line hcc.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.027 | 0.058 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.018 | 0.040 |
| Bibliometrics | 0.009 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".