SynthesisBMC cancer2019
Efficacy of bevacizumab combined with erlotinib for advanced hepatocellular carcinoma: a single-arm meta-analysis based on prospective studies.
Synthesis in BMC cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed, 14 citations in OpenAlex.
- Article
- Targeted therapies in hepatocellular carcinoma: past, present, and future.Frontiers in oncology · 2024Review
- Article
- Article
- Comprehensive analysis of immune-related gene signature based on ssGSEA algorithms in the prognosis and immune landscape of hepatocellular carcinoma.Frontiers in genetics · 2022Article
- Construction of a Necroptosis-Associated Long Non-Coding RNA Signature to Predict Prognosis and Immune Response in Hepatocellular Carcinoma.Frontiers in molecular biosciences · 2022Article
- Targeted therapy for hepatocellular carcinoma.Signal transduction and targeted therapy · 2020Review
- Molecular Targets, Pathways, and Therapeutic Implications for Hepatocellular Carcinoma.International journal of molecular sciences · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundThe efficacy of bevacizumab combined with erlotinib (B + E) for the treatment of advanced hepatocellular carcinoma, especially for sorafenib-refractory patients, has been observed and evaluated in several trials. We conducted this single arm meta-analysis to generally assess the benefit and risk with B + E for advanced hepatocellular carcinoma.
methodsThe PubMed, Cochrane Library, Embase, ScienceDirect, Web of Science and Scopus databases were searched for related studies. The main outcomes were objective response rate (ORR), disease control rate (DCR), overall survival (OS), progression-free survival (PFS) and adverse effects (AEs).
resultsEight phase II clinical trials including 342 hepatocellular carcinoma patients were analyzed. The pooled ORR was 12.6% (95% CI: 6.3-19.0%), and the pooled DCR was 54.5% (95% CI: 48.9-66.8%). The 16-week PFS rate was 50.2% (95% CI: 38.2-62.2%). The 6- and 12-month OS rates were 77.8% (95% CI: 71.3-84.2%) and 44.9% (95% CI: 36.8-53.0%). The main grade 3-4 AEs were fatigue (11.9%), diarrhea (9.0%), hypertension (6.7%), acne (5.8%) and hemorrhage (5.3%). The only RCT showed that the B + E regimen had a consistent response and equable median OS but fewer toxicities (grade 3-4 AEs: 19% vs. 27%) than sorafenib. Subgroup analysis showed that as a second-line treatment, the B + E regimen had substantial value with a favorable PFS-16w (P = 0.012), OS-12 m (P = 0.048) and a favorable tendency of ORR (P = 0.089), but obvious toxicities in the second-line setting could not be neglected.
conclusionBevacizumab combined with erlotinib is effective for treating hepatocellular carcinoma patients, especially sorafenib-refractory patients. More well-designed and large-scale RCTs are warranted to prove our findings.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.