Evidence map›Paper›PMID 28521494›Full record

ArticleCancer research and treatment2018

Sub-classification of Advanced-Stage Hepatocellular Carcinoma: A Cohort Study Including 612 Patients Treated with Sorafenib.

Jeong-Ju Yoo, Goh Eun Chung, Jeong-Hoon Lee, Joon Yeul Nam, Young Chang, Jeong Min Lee, Dong Ho Lee, Hwi Young Kim, Eun Ju Cho, Su Jong Yu and 3 more

Abstract read
In one paragraph

Article in Cancer research and treatment, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  14. Improved survival prediction and comparison of prognostic models for patients with hepatocellular carcinoma treated with sorafenib.Liver international : official journal of the International Association for the Study of the Liver · 2020
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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

13 authors.

Jeong-Ju YooDepartment of Internal Medicine and Liver Research Institute, Seoul National University College of Medicine, Seoul, Korea.
Goh Eun ChungDepartment of Internal Medicine, Healthcare Research Institute, Gangnam Healthcare Center, Seoul National University Hospital, Seoul, Korea.
Jeong-Hoon LeeDepartment of Internal Medicine and Liver Research Institute, Seoul National University College of Medicine, Seoul, Korea.
Joon Yeul NamDepartment of Internal Medicine and Liver Research Institute, Seoul National University College of Medicine, Seoul, Korea.
Young ChangDepartment of Internal Medicine and Liver Research Institute, Seoul National University College of Medicine, Seoul, Korea.
Jeong Min LeeDepartment of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
Dong Ho LeeDepartment of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
Hwi Young KimDepartment of Internal Medicine, Ewha Womans University School of Medicine Liver Center, Ewha Womans University Mokdong Hospital, Seoul, Korea.
Eun Ju ChoDepartment of Internal Medicine and Liver Research Institute, Seoul National University College of Medicine, Seoul, Korea.
Su Jong YuDepartment of Internal Medicine and Liver Research Institute, Seoul National University College of Medicine, Seoul, Korea.
Yoon Jun KimDepartment of Internal Medicine and Liver Research Institute, Seoul National University College of Medicine, Seoul, Korea.
Jung-Hwan YoonDepartment of Internal Medicine and Liver Research Institute, Seoul National University College of Medicine, Seoul, Korea.
Seoul Liver Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAdvanced hepatocellular carcinoma (HCC) is associated with various clinical conditions including major vessel invasion, metastasis, and poor performance status. The aim of this study was to establish a prognostic scoring system and to propose a sub-classification of the Barcelona-Clinic Liver Cancer (BCLC) stage C. MATERIALS AND

methodsThis retrospective study included consecutive patientswho received sorafenib for BCLC stage C HCC at a single tertiary hospital in Korea. A Cox proportional hazard model was used to develop a scoring system, and internal validationwas performed by a 5-fold cross-validation. The performance of the model in predicting risk was assessed by the area under the curve and the Hosmer-Lemeshow test.

resultsA total of 612 BCLC stage C HCC patients were sub- classified into strata depending on their performance status. Five independent prognostic factors (Child-Pugh score, α-fetoprotein, tumor type, extrahepatic metastasis, and portal vein invasion) were identified and used in the prognostic scoring system. This scoring system showed good discrimination (area under the receiver operating characteristic curve, 0.734 to 0.818) and calibration functions (both p < 0.05 by the Hosmer-Lemeshow test at 1 month and 12 months, respectively). The differences in survival among the different risk groups classified by the total score were significant (p < 0.001 by the log-rank test in both the Eastern Cooperative Oncology Group 0 and 1 strata).

conclusionThe heterogeneity of patientswith BCLC stage C HCC requires sub-classification of advanced HCC. A prognostic scoring system with five independent factors is useful in predicting the survival of patients with BCLC stage C HCC.

Indexed as

AdultAgedAged, 80 and overAntineoplastic AgentsCarcinoma, HepatocellularCohort StudiesFemaleHumansLiver NeoplasmsMaleMiddle AgedNiacinamidePhenylurea CompoundsSorafenibAntineoplastic AgentsNiacinamidePhenylurea CompoundsSorafenibAdvanced-stageHepatocellular carcinomaPrognosisSorafenib

Identifiers

PMID28521494
PMCPMC5912123

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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.