Evidence map›Paper›PMID 28873509›Full record

ArticleGut and liver2018

Can More Aggressive Treatment Improve Prognosis in Patients with Hepatocellular Carcinoma? A Direct Comparison of the Hong Kong Liver Cancer and Barcelona Clinic Liver Cancer Algorithms.

Young-Sun Lee, Yeon Seok Seo, Ji Hoon Kim, Juneyoung Lee, Hae Rim Kim, Yang Jae Yoo, Tae Suk Kim, Seong Hee Kang, Sang Jun Suh, Moon Kyung Joo and 9 more

Abstract readComparative StudyMulticenter StudyValidation Study
In one paragraph

Article in Gut and liver, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Advances in post-operative prognostic models for hepatocellular carcinoma.Journal of Zhejiang University. Science. B · 2023
    Review
  3. Article
  4. [Epidemiology of Alcoholic Liver Disease in Korea].The Korean journal of gastroenterology = Taehan Sohwagi Hakhoe chi · 2020
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Epidemiology of liver cancer in South Korea.Clinical and molecular hepatology · 2018
    Review
  10. Article
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

19 authors.

Young-Sun LeeDepartment of Internal Medicine, Korea University College of Medicine, Seoul, Korea.
Yeon Seok SeoDepartment of Internal Medicine, Korea University College of Medicine, Seoul, Korea.
Ji Hoon KimDepartment of Internal Medicine, Korea University College of Medicine, Seoul, Korea.
Juneyoung LeeDepartment of Biostatistics, Korea University College of Medicine, Seoul, Korea.
Hae Rim KimDepartment of Internal Medicine, Korea University College of Medicine, Seoul, Korea.
Yang Jae YooDepartment of Internal Medicine, Korea University College of Medicine, Seoul, Korea.
Tae Suk KimDepartment of Internal Medicine, Kangwon National University School of Medicine, Chuncheon, Korea.
Seong Hee KangDepartment of Internal Medicine, Korea University College of Medicine, Seoul, Korea.
Sang Jun SuhDepartment of Internal Medicine, Korea University College of Medicine, Seoul, Korea.
Moon Kyung JooDepartment of Internal Medicine, Korea University College of Medicine, Seoul, Korea.
Young Kul JungDepartment of Internal Medicine, Korea University College of Medicine, Seoul, Korea.
Beom Jae LeeDepartment of Internal Medicine, Korea University College of Medicine, Seoul, Korea.
Hyung Joon YimDepartment of Internal Medicine, Korea University College of Medicine, Seoul, Korea.
Jong Eun YeonDepartment of Internal Medicine, Korea University College of Medicine, Seoul, Korea.
Jae Seon KimDepartment of Internal Medicine, Korea University College of Medicine, Seoul, Korea.
Jong-Jae ParkDepartment of Internal Medicine, Korea University College of Medicine, Seoul, Korea.
Soon Ho UmDepartment of Internal Medicine, Korea University College of Medicine, Seoul, Korea.
Young-Tae BakDepartment of Internal Medicine, Korea University College of Medicine, Seoul, Korea.
Kwan Soo ByunDepartment of Internal Medicine, Korea University College of Medicine, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimsIn addition to the globally endorsed Barcelona Clinic Liver Cancer (BCLC) staging system, other algorithms or staging systems have been developed, including the Hong Kong Liver Cancer (HKLC) staging system. This study aimed to validate the HKLC staging system relative to the BCLC staging system for predicting survival for hepatocellular carcinoma (HCC) patients in Korea.

methodsFrom 2004 to 2013, 2,571 patients newly diagnosed with HCC were consecutively enrolled at three Korea University medical centers.

resultsBoth staging systems differentiated survival well (p<0.001). However, 1-year and 3-year survival were predicted better using the HKLC system than the BCLC system (area under the receiver operating characteristic curve: 0.869 vs 0.856 for 1 year, p=0.002; 0.841 vs 0.827 for 3 years, p=0.010). In hypothetical survival curves, the HKLC system exhibited better median overall survival than the BCLC system (33.1 months vs 19.2 months). In evaluations of prognosis according to either BCLC or HKLC treatment guidelines, risk of death was reduced in the group following only HKLC guidelines compared with the group following only BCLC guidelines (hazard ratio, 0.601; 95% confidence interval, 0.443 to 0.816; p=0.001).

conclusionsAlthough both staging systems predicted and discriminated HCC prognoses well, the HKLC system showed more encouraging survival benefits than the BCLC system.

Indexed as

AlgorithmsAgedCarcinoma, HepatocellularFemaleHumansLiver NeoplasmsMaleMiddle AgedNeoplasm StagingPrognosisProportional Hazards ModelsReproducibility of ResultsRepublic of KoreaRetrospective StudiesROC CurveBarcelona Clinic Liver CancerCarcinoma, hepatocellularHong Kong Liver CancerNeoplasm staging

Identifiers

PMID28873509
PMCPMC5753690

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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.