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Record W7026539520

ALBI Grade Enables Risk Stratification for Bleeding Events and Refines Prognostic Prediction in Advanced HCC Following Atezolizumab and Bevacizumab

2025· article· en· W7026539520 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicCOVID-19 impact on air quality
Canadian institutionsnot available
Fundersnot available
KeywordsRisk stratificationBevacizumabUniversity hospitalHematologyCancerDiseaseEPIC
DOInot available

Abstract

fetched live from OpenAlex

Bernardo Stefanini,1,2 Claudia Angela Maria Fulgenzi,1,3 Bernhard Scheiner,1,4 James Korolewicz,1 Jaekyung Cheon,5 Naoshi Nishida,6 Celina Ang,7 Thomas U Marron,7 Y Linda Wu,8 Anwaar Saeed,9 Brooke Wietharn,10 Lorenza Rimassa,11,12 Angelo Pirozzi,11,12 Antonella Cammarota,12 Tiziana Pressiani,12 Matthias Pinter,4 Lorenz Balcar,4 Yi-Hsiang Huang,13,14 Aman Mehan,1 Samuel Phen,15 Caterina Vivaldi,16,17 Francesca Salani,17,18 Gianluca Masi,16,17 Dominik Bettinger,19 Arndt Vogel,20,21 Martin Schönlein,22 Johann von Felden,23 Kornelius Schulze,23 Henning Wege,23 Adel Samson,24 Peter R Galle,25 Masatoshi Kudo,6 Giulia Francesca Manfredi,1,26 Ciro Celsa,1,27 Nichola Awosika,1 Alessio Cortellini,1,3 Amit G Singal,15 Rohini Sharma,1 Hong Jae Chon,5 Francesco Tovoli,2,28 Fabio Piscaglia,2,28 David James Pinato,1,26,* Antonio D’Alessio1,* 1Department of Surgery and Cancer, Imperial College London, London, UK; 2Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy; 3Division of Medical Oncology, Policlinico Universitario Campus Bio-Medico, Rome, Italy; 4Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria; 5Medical Oncology, Department of Internal Medicine, CHA Bundang Medical Center, CHA University, Seongnam, Korea; 6Department of Gastroenterology and Hepatology, Kindai University Faculty of Medicine, Osaka, Japan; 7Department of Medicine, Division of Hematology/Oncology, Tisch Cancer Institute, Mount Sinai Hospital, New York, NY, USA; 8Division of hematology/oncology, Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, NY, USA; 9Division of Hematology/Oncology, Department of Medicine, University of Pittsburgh (UPMC), Pittsburgh, PA, USA; 10Department of Medicine, Division of Medical Oncology, Kansas University Cancer Center, Kansas City, KS, USA; 11Department of Biomedical Sciences, Humanitas University, Milan, Italy; 12Medical Oncology and Hematology Unit, Humanitas Cancer Center, IRCCS Humanitas Research Hospital, Milan, Italy; 13Division of Gastroenterology and Hepatology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan; 14Institute of Clinical Medicine, National Yang Ming Chiao Tung University School of Medicine, Taipei, Taiwan; 15Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA; 16Unit of Medical Oncology 2, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy; 17Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy; 18Sant`Anna School of Advanced Studies, Pisa, Italy; 19Department of Medicine II (Gastroenterology, Hepatology, Endocrinology and Infectious Diseases), Freiburg University Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany; 20Hannover Medical School, Hannover, Germany; 21Longo Family Chair in Liver Cancer Research, Division of Gastroenterology and Hepatology, Toronto General Hospital, Medical Oncology, Princess Margaret Cancer Centre, Schwartz Reisman Liver Research Centre, Toronto, Canada; 22Department of Oncology, Hematology and Bone Marrow Transplantation with Section of Pneumology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany; 23Department of Gastroenterology and Hepatology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany; 24Leeds Institute of Medical Research at St James’s (LIMR), School of Medicine, Faculty of Medicine and Health, University of Leeds, St James’s University Hospital, Leeds, UK; 25University Medical Center Mainz, I. Department. of Internal Medicine, Mainz, Germany; 26Department of Translational Medicine, University of Piemonte Orientale, Novara, Italy; 27Gastroenterology and Hepatology Unit, Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, Palermo, Italy; 28Division of Internal Medicine, Hepatobiliary and Immunoallergic Diseases, IRCCS Azienda Ospedaliero-Universitaria Di Bologna, Bologna, Italy*These authors contributed equally to this workCorrespondence: Antonio D’Alessio, Department of Surgery and Cancer, Imperial College London, Du Cane Road, London, W12 0HS, UK, Email a.dalessio@imperial.ac.ukBackground and Aims: Atezolizumab and bevacizumab (A+B) are recommended for treating unresectable hepatocellular carcinoma (HCC). Although highly effective, A+B can lead to potentially life-threatening adverse events including bleeding. We investigated whether albumin-bilirubin (ALBI) grade identifies patients with a higher risk of bleeding and its impact on prognosis than the Child-Pugh (CP) score.Methods: We performed a multicenter retrospective study of 15 tertiary referral centers that consecutively treated patients with A+B. We analyzed the association between the ALBI grade and gastrointestinal bleeding using the χ 2 test. Overall survival (OS) stratified by ALBI was estimated using the Kaplan-Meier method and the predictive value for the 6-months OS landmark with ROC curves.Results: Of the 368 patients included in the analysis, 163 (44.3%), 192 (52.2%) and 13 (3.5%) had ALBI 1, ALBI 2, and ALBI 3, respectively. ALBI grade was associated with a 3-fold increase in bleeding risk (3.1% in ALBI 1 vs 10.2% in ALBI 2/3, p=0.008). Among 192 patients with pre-treatment EGD, G2 and G3 varices were associated with an increased risk of bleeding, whereas G1 varices had a similar risk as no varices. Patients with ALBI 1 achieved a longer median OS (not reached; 95% CI, 24.9– 33.7), than ALBI 2 (9.7 months; 95% CI, 7.0– 12.3) or ALBI 3 (5.6 months; 95% CI, 0.1– 12.0). ALBI outperformed the CP score for predicting 6-month OS with an AUC 0.79 of ALBI versus 0.71 for the CP score (p=0.01).Conclusion: A Higher ALBI grade was associated with an increased risk of gastrointestinal bleeding after receiving A+B, and outperformed the CP score in predicting worse survival.Keywords: hepatocellular carcinoma, ALBI, bleeding risk, systemic treatment

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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)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.156
GPT teacher head0.535
Teacher spread0.379 · 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 designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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