Evidence map›Paper›PMID 36611295›Full record

ArticleDiagnostics (Basel, Switzerland)2022

Suboptimal Performance of Hepatocellular Carcinoma Prediction Models in Patients with Hepatitis B Virus-Related Cirrhosis.

Jae Seung Lee, Tae Seop Lim, Hye Won Lee, Seung Up Kim, Jun Yong Park, Do Young Kim, Sang Hoon Ahn, Hyun Woong Lee, Jung Il Lee, Ja Kyung Kim and 2 more

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
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  5. Review
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

12 authors at 1 institution in 1 country.

Jae Seung LeeDepartment of Internal Medicine, Yonsei University College of Medicine, Seoul 03722, Republic of Korea.ORCID 0000-0002-2371-0967
Tae Seop LimDepartment of Internal Medicine, Yonsei University College of Medicine, Seoul 03722, Republic of Korea.
Hye Won LeeDepartment of Internal Medicine, Yonsei University College of Medicine, Seoul 03722, Republic of Korea.ORCID 0000-0002-3552-3560
Seung Up KimDepartment of Internal Medicine, Yonsei University College of Medicine, Seoul 03722, Republic of Korea.ORCID 0000-0002-9658-8050
Jun Yong ParkDepartment of Internal Medicine, Yonsei University College of Medicine, Seoul 03722, Republic of Korea.ORCID 0000-0001-6324-2224
Do Young KimDepartment of Internal Medicine, Yonsei University College of Medicine, Seoul 03722, Republic of Korea.ORCID 0000-0002-8327-3439
Sang Hoon AhnDepartment of Internal Medicine, Yonsei University College of Medicine, Seoul 03722, Republic of Korea.
Hyun Woong LeeDepartment of Internal Medicine, Yonsei University College of Medicine, Seoul 03722, Republic of Korea.
Jung Il LeeDepartment of Internal Medicine, Yonsei University College of Medicine, Seoul 03722, Republic of Korea.ORCID 0000-0002-0142-1398
Ja Kyung KimDepartment of Internal Medicine, Yonsei University College of Medicine, Seoul 03722, Republic of Korea.
In Kyung MinBiostatistics Collaboration Unit, Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul 03722, Republic of Korea.
Beom Kyung KimDepartment of Internal Medicine, Yonsei University College of Medicine, Seoul 03722, Republic of Korea.
Yonsei University · KR

Funding

Korea Disease Control and Prevention Agency 2022E194000Seokchun Caritas Foundatio SCY2105P
6 · The paper itself

Abstract

This study aimed to evaluate the predictive performance of pre-existing well-validated hepatocellular carcinoma (HCC) prediction models, established in patients with HBV-related cirrhosis who started potent antiviral therapy (AVT). We retrospectively reviewed the cases of 1339 treatment-naïve patients with HBV-related cirrhosis who started AVT (median period, 56.8 months). The scores of the pre-existing HCC risk prediction models were calculated at the time of AVT initiation. HCC developed in 211 patients (15.1%), and the cumulative probability of HCC development at 5 years was 14.6%. Multivariate Cox regression analysis revealed that older age (adjusted hazard ratio [aHR], 1.023), lower platelet count (aHR, 0.997), lower serum albumin level (aHR, 0.578), and greater LS value (aHR, 1.012) were associated with HCC development. Harrell’s c-indices of the PAGE-B, modified PAGE-B, modified REACH-B, CAMD, aMAP, HCC-RESCUE, AASL-HCC, Toronto HCC Risk Index, PLAN-B, APA-B, CAGE-B, and SAGE-B models were suboptimal in patients with HBV-related cirrhosis, ranging from 0.565 to 0.667. Nevertheless, almost all patients were well stratified into low-, intermediate-, or high-risk groups according to each model (all log-rank p < 0.05), except for HCC-RESCUE (p = 0.080). Since all low-risk patients had cirrhosis at baseline, they had unneglectable cumulative incidence of HCC development (5-year incidence, 4.9−7.5%). Pre-existing risk prediction models for patients with chronic hepatitis B showed suboptimal predictive performances for the assessment of HCC development in patients with HBV-related cirrhosis.

Indexed as

antiviral therapychronic hepatitis Bhepatocellular carcinomaliver cirrhosisliver stiffnessrisk

Identifiers

PMID36611295
PMCPMC9818663
OpenAlexW4313260523

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.