Evidence map›Paper›PMID 37670423›Full record

ArticleJournal of liver cancer2023

Nomogram for predicting overall survival in patients with large (>5 cm) hepatocellular carcinoma based on real-world practice.

Nalee Kim, Jeong Il Yu, Hee Chul Park, Jung Yong Hong, Ho Yeong Lim, Myung Ji Goh, Yong-Han Paik

Abstract read
In one paragraph

Article in Journal of liver cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Prognostic Index for Liver Radiation (PILiR).Current oncology (Toronto, Ont.) · 2024
    Article
  2. 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

7 authors.

Nalee KimDepartment of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Jeong Il YuDepartment of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Hee Chul ParkDepartment of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Jung Yong HongDepartment of Intenal Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Ho Yeong LimDepartment of Intenal Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Myung Ji GohDepartment of Intenal Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Yong-Han PaikDepartment of Intenal Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.

Funding

Korean Liver Cancer Association
6 · The paper itself

Abstract

BACKGROUND/

aimPatients with large (>5 cm) hepatocellular carcinoma (HCC) have limited treatment options, thus necessitating the identification of prognostic factors and the development of predictive tools. This study aimed to identify prognostic factors and to construct a nomogram to predict survival outcomes in patients with large HCC.

methodsA cohort of 438 patients, who were diagnosed with large HCC at a tertiary hospital between 2015 and 2018, was analyzed. Cox proportional hazards models were used to identify key prognosticators of overall survival (OS), and an independent set of prognostic factors was used to develop a nomogram. The discrimination and calibration abilities of the nomogram were assessed and internal validation was performed using cross-validation and bootstrapping methods.

resultsDuring a median follow-up of 9.3 months, the median OS was 9.9 months, and the 1-year OS rate was 43.9%. Multivariable Cox regression analysis revealed that performance status, modified albumin-bilirubin grade, tumor size, extent of portal vein tumor thrombosis, and initial treatment significantly affected OS. The newly developed nomogram incorporating these variables demonstrated favorable accuracy (Harrell's concordance index, 0.807).

conclusionsThe newly developed nomogram facilitated the estimation of individual survival outcomes in patients with large HCC, providing an acceptable level of accuracy.

Indexed as

Carcinoma, hepatocellularNomogramsPrognosis

Identifiers

PMID37670423
PMCPMC10565549

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.