Evidence map›Paper›PMID 41710695›Full record

ArticleJournal of hepatocellular carcinoma2026

Predictive Modeling and Mendelian Randomization for Identifying HCC Patients with High Response to TACE with Atezolizumab and Bevacizumab.

Wenhao Chen, Jiawei Liu, Shuxian Chen, Shuyan Li, Kai Shi, Ruinan Xia, Yuhui Shi, Jiehui Tan, Nan Lin

Abstract read
In one paragraph

Article in Journal of hepatocellular carcinoma, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Wenhao Chen *Department of Hepatobiliary Surgery, the Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, 510630, People's Republic of China.
Jiawei Liu *Department of General Surgery, Zhongshan People's Hospital, Zhongshan, People's Republic of China.
Shuxian Chen *Department of Hepatobiliary Surgery, the Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, 510630, People's Republic of China.
Shuyan LiDepartment of Respiratory Medicine, Liwan Central Hospital of Guangzhou, Guangzhou, People's Republic of China.
Kai ShiDepartment of Hepatobiliary Surgery, the Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, 510630, People's Republic of China.ORCID 0009-0009-9146-089X
Ruinan XiaDepartment of Hepatobiliary Surgery, the Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, 510630, People's Republic of China.
Yuhui ShiDepartment of Hepatobiliary Surgery, the Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, 510630, People's Republic of China.
Jiehui TanDepartment of Hepatobiliary Surgery, the Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, 510630, People's Republic of China.
Nan LinDepartment of Hepatobiliary Surgery, the Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, 510630, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Hepatocellular carcinoma (HCC) is a major cause of cancer deaths. This study developed a clinical prediction model to identify patients likely to respond to transcatheter arterial chemoembolization (TACE) combined with atezolizumab and bevacizumab (Atez/Bev), using Mendelian randomization (MR) to validate the therapeutic effect on HCC via Patients and Methods: A retrospective analysis of 258 unresectable HCC patients administered TACE, with or without Atez/Bev therapy, was conducted. Propensity score matching (PSM) was employed to compare objective response rates (ORRs). A predictive model for response to TACE+Atez/Bev was developed using logistic regression and validated. MR was used to analyze the causal relationships between the Results: After PSM, the TACE+Atez/Bev group demonstrated significantly higher ORR compared with the TACE group (73.8% vs 56.3%, Conclusion: We developed a predictive model for TACE+Atez/Bev therapy, enabling effective patient screening. MR validated

Indexed as

atezolizumabbevacizumabMendelian randomizationnomogramTACE

Identifiers

PMID41710695
PMCPMC12912134

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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.