Evidence map›Paper›PMID 31900694›Full record

ArticleEuropean radiology2020

A nomogram to predict survival of patients with intermediate-stage hepatocellular carcinoma after transarterial chemoembolization combined with microwave ablation.

Jia-Yan Ni, Zhu-Ting Fang, Hong-Liang Sun, Chao An, Zhi-Mei Huang, Tian-Qi Zhang, Xiong-Ying Jiang, Yao-Ting Chen, Lin-Feng Xu, Jin-Hua Huang

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in European radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 3 pooled it
2.8field-weighted citation impact, top 8% of its field
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

24 citing papers in PubMed, 3 syntheses or guidelines pooled it, 29 citations in OpenAlex.

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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

10 authors at 4 institutions in 1 country.

Jia-Yan Ni *Department of Minimally Invasive Interventional Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Cancer for Cancer Medicine, 651 Dongfeng Road East, Guangzhou, 510060, Guangdong Province, People's Republic of China.
Zhu-Ting Fang *Department of Interventional Radiology, Fujian Provincial Hospital, Provincial Clinic College of Fujian Medical University, Fuzhou, People's Republic of China.
Hong-Liang SunGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Department of Interventional Radiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang Road West, Guangzhou, 510120, Guangdong Province, People's Republic of China.
Chao AnDepartment of Minimally Invasive Interventional Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Cancer for Cancer Medicine, 651 Dongfeng Road East, Guangzhou, 510060, Guangdong Province, People's Republic of China.
Zhi-Mei HuangDepartment of Minimally Invasive Interventional Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Cancer for Cancer Medicine, 651 Dongfeng Road East, Guangzhou, 510060, Guangdong Province, People's Republic of China.
Tian-Qi ZhangDepartment of Minimally Invasive Interventional Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Cancer for Cancer Medicine, 651 Dongfeng Road East, Guangzhou, 510060, Guangdong Province, People's Republic of China.
Xiong-Ying JiangGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Department of Interventional Radiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang Road West, Guangzhou, 510120, Guangdong Province, People's Republic of China.
Yao-Ting ChenGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Department of Interventional Radiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang Road West, Guangzhou, 510120, Guangdong Province, People's Republic of China.
Lin-Feng XuGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Department of Interventional Radiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang Road West, Guangzhou, 510120, Guangdong Province, People's Republic of China. xu_lin_feng@163.com.
Jin-Hua HuangDepartment of Minimally Invasive Interventional Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Cancer for Cancer Medicine, 651 Dongfeng Road East, Guangzhou, 510060, Guangdong Province, People's Republic of China. huangjh_sysucc@163.com.
Sun Yat-sen University · CNSun Yat-sen Memorial Hospital · CNChinese PLA General Hospital · CNFujian Medical University · CN

Funding

Guangzhou Science and Technology Program 201704020134Guangzhou Science and Technology Program 201704020228National Natural Science Foundation of China 81771955Scientific Research Foundation of Medical Science of Guangdong Province, China A2018267Sun Yat-Sen University Clinical Trial 5010 Project 2016002
6 · The paper itself

Abstract

objectivesTo develop a prognostic nomogram based on the albumin-bilirubin (ALBI) grade for prediction of the long-term survival of patients with intermediate-stage hepatocellular carcinoma (HCC) after transarterial chemoembolization combined with microwave ablation (TACE-MWA).

methodsWe retrospectively studied 546 consecutive patients with intermediate-stage HCC according to the Barcelona Clinic Liver Cancer guidelines who underwent TACE-MWA between January 2000 and December 2016. Overall survival (OS) and progression-free survival (PFS) were analyzed. The predictive value of the ALBI grade was investigated. The prognostic nomogram was constructed using the independent predictors assessed by the multivariate Cox proportional hazards model.

resultsAfter a median follow-up of 35.0 months (range, 4.0-221.0 months), 380 patients had died. The median OS was 35.0 months (95% confidence interval (CI), 30.84-39.16 months), and the median PFS was 6.5 months (95% CI, 6.13-6.87 months). The ALBI grade was validated as an independent predictor of OS (p < 0.001). Multivariate analyses showed that Eastern Cooperative Oncology Group performance status score more than 0, presence of liver cirrhosis, a-fetoprotein level above 400 ng/mL, tumor size greater than 5 cm, tumor number more than 3, advanced ALBI grade, and treatment sessions of TACE or MWA fewer than 3 were independently associated with overall mortality. The prognostic nomogram incorporating these eight predictors achieved good calibration and discriminatory abilities with a concordance index of 0.770 (95% CI, 0.746-0.795).

conclusionsThe prognostic nomogram based on the ALBI grade resulted in reliable efficacy for prediction of individualized OS in patients with intermediate-stage HCC after TACE-MWA. KEY POINTS: • TACE-MWA was associated with a median overall survival of 35.0 months for patients with intermediate-stage HCC. • A prognostic nomogram was built to predict individualized survival of patients with intermediate-stage HCC after TACE-MWA. • The prognostic nomogram incorporating eight predictors achieved good calibration and discriminatory abilities with a concordance index of 0.770.

Indexed as

NomogramsAdolescentAdultAgedCarcinoma, HepatocellularChemoembolization, TherapeuticFemaleHumansLiver NeoplasmsMagnetic Resonance ImagingMaleMicrowavesMiddle AgedNeoplasm StagingPrognosisRadiofrequency TherapyAblation techniqueChemoembolization, therapeuticHepatocellular carcinomaNomogramSurvival

Identifiers

PMID31900694
OpenAlexW2998525504

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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.