Evidence map›Paper›PMID 33042823›Full record

ArticleFrontiers in oncology2020

Hepatocellular Carcinoma Within the Milan Criteria: A Novel Inflammation-Based Nomogram System to Assess the Outcomes of Ablation.

Shuanggang Chen, Weimei Ma, Fei Cao, Lujun Shen, Han Qi, Lin Xie, Ying Wu, Weijun Fan

Abstract read
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Article in Frontiers in oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Inflammation Markers and HCC Aggressiveness.Journal of biomedical research & environmental sciences · 2025
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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

8 authors.

Shuanggang ChenDepartment of Minimally Invasive Interventional Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China.
Weimei MaState Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University, Guangzhou, China.
Fei CaoDepartment of Minimally Invasive Interventional Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China.
Lujun ShenDepartment of Minimally Invasive Interventional Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China.
Han QiDepartment of Minimally Invasive Interventional Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China.
Lin XieDepartment of Minimally Invasive Interventional Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China.
Ying WuDepartment of Minimally Invasive Interventional Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China.
Weijun FanDepartment of Minimally Invasive Interventional Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesFew studies based on pretreatment inflammation-based scores focused on assessing the prognosis of hepatocellular carcinoma (HCC) patients within the Milan Criteria after ablation. This study aimed to construct a nomogram based on a novel inflammation-based score for those patients.

methodsA total of 635 HCC patients within the Milan Criteria after ablation meeting the inclusion and exclusion criteria were included in the study. The novel inflammation-based score-Albumin-Platelet Score (APS)-was constructed by Cox proportional-hazards modeling. The nomogram based on APS was constructed by multivariate analysis and the "rms" R package. The performance of the APS and the nomogram were assessed by time-dependent receiver operating characteristic and the concordance index (C-index).

resultsThe APS was an integrated indicator based on peripheral albumin level and platelet counts, which was significantly superior to other inflammation-based scores (neutrophil to lymphocyte ratio, platelet to lymphocyte ratio, Prognostic Nutritional Index, modified Glasgow Prognostic Score, Glasgow Prognostic Score, Prognostic Index, and C-reactive protein/albumin ratio) in predicting the long-term prognosis of those patients undergoing ablation (

conclusionThe APS was a better inflammation-based prognostic system than others. Also, the nomogram based on the APS improved the performance of predicting the prognosis of HCC patients within the Milan Criteria after ablation.

Indexed as

ablation techniqueshepatocellular carcinomainflammatory biomarkersnomogramthe Milan Criteria

Identifiers

PMID33042823
PMCPMC7521362

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