Evidence map›Paper›PMID 38290767›Full record

ArticleJournal for immunotherapy of cancer2024

Prognostic model for unresectable hepatocellular carcinoma treated with dual PD-1 and angiogenesis blockade therapy.

Zhiqiang Mo, Ling Lv, Qicong Mai, Qiao Li, Jian He, Tao Zhang, Jingwu Xu, Jiayan Fang, Ning Shi, Qing Gou and 4 more

Abstract read
In one paragraph

Article in Journal for immunotherapy of cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

14 authors.

Zhiqiang Mo *Department of Minimally Invasive Intervention, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Ling Lv *Department of Minimally Invasive Intervention, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.ORCID 0000-0003-0972-4745
Qicong Mai *Department of Minimally Invasive Intervention, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Qiao LiDepartment of General Surgery, Guangdong Provincial People's Hospital(Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Jian HeDepartment of Interventional Radiology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China.
Tao ZhangDepartment of Radiology, Guangzhou Medical University Affiliated Cancer Hospital, Guangzhou, Guangdong, China.
Jingwu XuDepartment of Oncology and Peripheral Interventional Radiology, People's Hospital of Huazhou, Maoming, China.
Jiayan FangDepartment of Internal Medicine-Oncology, Dongguan Songshan Lake Central Hospital, Dongguan, China.
Ning ShiDepartment of General Surgery, Guangdong Provincial People's Hospital(Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Qing GouDepartment of Minimally Invasive Intervention, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Xiaoming ChenDepartment of Minimally Invasive Intervention, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Jing ZhangDepartment of Minimally Invasive Intervention, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Wenhang ZhuangDepartment of Minimally Invasive Intervention, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China kinghaos@126.com zhuangwenxing@gdph.org.cn.
Haosheng JinDepartment of General Surgery, Guangdong Provincial People's Hospital(Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China kinghaos@126.com zhuangwenxing@gdph.org.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsDual programmed death 1 (PD-1) and angiogenesis blockade therapy is a frontline treatment for hepatocellular carcinoma (HCC). An accepted model for survival prediction and risk stratification in individual patients receiving this treatment is lacking. Aimed to develop a simple prognostic model specific to these patients. APPROACH AND

resultsPatients with unresectable HCC undergoing dual PD-1 and angiogenesis blockade therapy were included in training cohort (n=168) and validation cohort (n=72). We investigated the prognostic value of clinical variables on overall survival using a Cox model in the training set. A prognostic score model was then developed and validated. Predictive performance and discrimination were also evaluated.

conclusionThe LANS score model can provide individualized survival prediction and risk stratification in patients with unresectable HCC undergoing dual PD-1 and angiogenesis blockade therapy.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsAngiogenesisHumansPrognosisProgrammed Cell Death 1 ReceptorProgrammed Cell Death 1 ReceptorImmune Checkpoint InhibitorsImmunotherapyLiver Neoplasms

Identifiers

PMID38290767
PMCPMC10828840

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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.