Evidence map›Paper›PMID 42707128›Full record

ArticleFrontiers in oncology2026

HAIC combined with atezolizumab and bevacizumab versus lenvatinib in advanced hepatocellular carcinoma: a multicenter propensity score matching analysis.

Lei Zhao, Dan Liu, Chao Ma, Yue Hu, Shu Liu

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

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.

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

5 authors.

Lei Zhao *Department of Medical Oncology, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, China.
Dan Liu *Department of Medical Oncology, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, China.
Chao Ma *Surgical Anesthesia Center, The Seventh Affiliated Hospital Sun Yat-sen University, Shenzhen, China.
Yue HuDepartment of Interventional Radiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Shu LiuDepartment of Medical Oncology, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed to evaluate the clinical efficacy and safety of hepatic arterial infusion chemotherapy (HAIC) combined with atezolizumab and bevacizumab (HTA) versus HAIC combined with lenvatinib (HL) in the treatment of advanced hepatocellular carcinoma (HCC). Methods: A multicenter retrospective study was conducted between June 2021 and June 2025, reviewing advanced HCC patients treated with either HTA or HL. To mitigate initial differences between the two groups, propensity score matching (PSM) was applied. Tumor response was assessed using the RECIST version 1.1 criteria. The primary endpoint was overall survival (OS). Secondary efficacy outcomes included progression-free survival (PFS), objective response rate (ORR), and disease control rate (DCR). Safety was assessed by the incidence and severity of adverse events (AEs). Results: A total of 187 patients received HTA, and 119 patients received HL. Following PSM, 106 patients were assigned to each group. The HTA group demonstrated a significantly longer median OS (25.8 months vs. 16.4 months; hazard ratio [HR], 0.62, Conclusion: HTA significantly improved overall survival compared to HL in patients with advanced HCC, with manageable safety profiles.

Indexed as

atezolizumabbevacizumabhepatic arterial infusion chemotherapyhepatocellular carcinomalenvatinib

Identifiers

PMID42707128
PMCPMC13547088

What OpenQuestion holds

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Registered trials

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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.