Evidence map›Paper›PMID 33539397›Full record

ArticlePloS one2021

Survival in untreated hepatocellular carcinoma: A national cohort study.

Young Ae Kim, Danbee Kang, Hyeyoung Moon, Donghyun Sinn, Minwoong Kang, Sang Myung Woo, Yoon Jung Chang, Boram Park, Sun-Young Kong, Eliseo Guallar and 5 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. 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
1.4field-weighted citation impact, top 18% 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

10 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  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

15 authors at 5 institutions in 2 countries.

Young Ae KimDivision of Cancer Control & Policy, National Cancer Control Institute, National Cancer Center, Goyang, South Korea.
Danbee KangDepartment of Clinical Research Design and Evaluation, SAIHST, Sungkyunkwan University, Seoul, South Korea.
Hyeyoung MoonDepartment of Clinical Research Design and Evaluation, SAIHST, Sungkyunkwan University, Seoul, South Korea.
Donghyun SinnDepartment of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Minwoong KangCenter for Clinical Epidemiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Sang Myung WooCenter for Liver and Pancreatobiliary Cancer, Research Institute, National Cancer Center, Goyang, Korea.
Yoon Jung ChangDivision of Cancer Control & Policy, National Cancer Control Institute, National Cancer Center, Goyang, South Korea.
Boram ParkBiostatistics Collaboration Team, Research Core Center, Research Institute, National Cancer Center, Goyang, South Korea.
Sun-Young KongDivision of Translational Science, Research Institute, National Cancer Center, Goyang, South Korea.
Eliseo GuallarDepartment of Epidemiology, and Welch Center for Epidemiology, Prevention, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
Soo-Yong ShinDepartment of Digital Health, SAIHST, Sungkyunkwan University, Seoul, South Korea.
Geunyeon GwakDepartment of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.ORCID 0000-0002-6453-3450
Joung Hwan BackHealth Insurance Policy Research Institute, National Health Insurance Service, Gangwon-do, Korea.
Eun Sook LeeDepartment of Surgery, Research Institute & Hospital, National Cancer Center, Goyang, South Korea.
Juhee ChoDepartment of Clinical Research Design and Evaluation, SAIHST, Sungkyunkwan University, Seoul, South Korea.ORCID 0000-0001-9081-0266
National Cancer Center · KRSamsung Medical Center · KRJohns Hopkins University · USSungkyunkwan University · KRNational Health Insurance Service · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to analyze the proportion, characteristics and prognosis of untreated hepatocellular carcinoma (HCC) patients in a large representative nationwide study. A cohort study was conducted using the National Health Insurance Service (NHIS) database in Korea. A total of 63,668 newly-diagnosed HCC patients between January 2008 and December 2013 were analyzed. Patients were categorized into treatment group and no treatment group using claim codes after HCC diagnosis. The proportion of untreated HCC patients was 27.6%, decreasing from 33.4% in 2008 to 24.8% in 2013. Compared to treated patients, untreated patients were more likely to be older (P < 0.001), female (P < 0.01), to have a distant SEER stage (P < 0.001), severe liver disease (P < 0.001), and lower income (P < 0.001). The fully-adjusted hazard ratio for all-cause mortality comparing untreated to treated patients was 3.11 (95% CI, 3.04-3.18). The risk of mortality was higher for untreated patients in all pre-defined subgroups, including those with distant SEER stage and those with severe liver disease. About one fourth of newly diagnosed HCC patients did not receive any HCC-specific treatment. Untreated patients showed higher risk of mortality compared to treated patients in all subgroups. Further studies are needed to identify obstacles for HCC treatment and to improve treatment rates.

Indexed as

AgedAge FactorsCarcinoma, HepatocellularCohort StudiesDatabases, FactualFemaleHumansLiver NeoplasmsMaleMiddle AgedNational Health ProgramsNeoplasm StagingPrognosisRepublic of KoreaRetrospective StudiesSex Characteristics

Identifiers

PMID33539397
PMCPMC7861368
OpenAlexW3126639091

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.