ArticleLiver cancer2023
Relationship of Atezolizumab plus Bevacizumab Treatment with Muscle Volume Loss in Unresectable Hepatocellular Carcinoma Patients: Multicenter Analysis.
Article in Liver cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.
What it found
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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, 2 syntheses or guidelines pooled it, 10 citations in OpenAlex.
- Impact of body composition on clinical outcomes in patients with hepatocellular carcinoma: A systematic review and meta-analysis.Hepatology communications · 2026Pooled it
- Prognostic impact of body composition in hepatocellular carcinoma patients with immunotherapy.Annals of medicine · 2024Pooled it
- Oncological Outcomes Following Different TACE-Based Conversion Therapies for Intermediate-Advanced Hepatocellular Carcinoma.Cancer medicine · 2026Article
- Dynamic Muscle Atrophy Predicts Outcomes in Patients with Unresectable Hepatocellular Carcinoma Treated with First-Line Lenvatinib: A Retrospective Study in Taiwan.Gut and liver · 2025Article
- Increment of Skeletal Muscle Mass Predicts Survival Benefit for Hepatocellular Carcinoma Treated with Transarterial Chemoembolization Combining Molecular Targeted Agents and Immune Checkpoint Inhibitors.Journal of hepatocellular carcinoma · 2025Article
- Prognostic Significance of Psoas Muscle Index in Unresectable Hepatocellular Carcinoma: Comparative Analysis of Lenvatinib and Atezolizumab Plus Bevacizumab.Journal of clinical medicine · 2024Article
- Ultrasound Evaluation of Sarcopenia in Patients with Hepatocellular Carcinoma: A Faster and Easier Way to Detect Patients at Risk.Diagnostics (Basel, Switzerland) · 2024Review
- Simple method for predicting muscle volume loss using geriatric nutritional risk index in hepatocellular carcinoma patients.Journal of cachexia, sarcopenia and muscle · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
41 authors at 20 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background/Aim: There is no known report regarding the relationship of atezolizumab plus bevacizumab (Atez/Bev) treatment with muscle volume loss (MVL) in unresectable hepatocellular carcinoma (u-HCC) patients. This study aimed to elucidate the clinical relationship between MVL and Atez/Bev. Materials/Methods: From September 2020 to December 2021, 229 u-HCC patients treated with Atez/Bev and with muscle volume data obtained by computed tomography at the baseline available were analyzed (median age, 74 years; males, 186 (81.2%); ECOG PS 0/1, 221 (96.5%); HCV:HBV:alcohol:others = 81:33:40:75; Child-Pugh A, 212 (92.6%); modified albumin-bilirubin (mALBI) grade 1:2a:2b = 79:60:90; BCLC 0:A:B:C = 1:24:87:117; median observation period, 6.8 months). Japan Society of Hepatology criteria were used for definition of MVL and prognostic factors were retrospectively evaluated. Results: Multivariate Cox-hazard analysis of prognostic factors for progression-free survival (PFS) showed elevated alpha-fetoprotein (AFP) (≥100 ng/mL) (HR 1.848, 95% CI 1.264-2.702, Conclusion: MVL may be a clinical factor related to poor prognosis in patients receiving Atez/Bev treatment for u-HCC.
Identifiers
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Registered trials
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.