Evidence map›Paper›PMID 31146508›Full record

ArticleClinical and molecular hepatology2019

Risk assessment of hepatocellular carcinoma development for indeterminate hepatic nodules in patients with chronic hepatitis B.

Haneulsaem Shin, Yeon Woo Jung, Beom Kyung Kim, Jun Yong Park, Do Young Kim, Sang Hoon Ahn, Kwang-Hyub Han, Yeun-Yoon Kim, Jin-Young Choi, Seung Up Kim

Abstract read
In one paragraph

Article in Clinical and molecular hepatology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

10 authors.

Haneulsaem ShinDepartment of Internal Medicine and Yonsei University College of Medicine, Seoul, Korea.
Yeon Woo JungDepartment of Internal Medicine and Yonsei University College of Medicine, Seoul, Korea.
Beom Kyung KimDepartment of Internal Medicine and Yonsei University College of Medicine, Seoul, Korea.
Jun Yong ParkDepartment of Internal Medicine and Yonsei University College of Medicine, Seoul, Korea.
Do Young KimDepartment of Internal Medicine and Yonsei University College of Medicine, Seoul, Korea.
Sang Hoon AhnDepartment of Internal Medicine and Yonsei University College of Medicine, Seoul, Korea.
Kwang-Hyub HanDepartment of Internal Medicine and Yonsei University College of Medicine, Seoul, Korea.
Yeun-Yoon KimDepartment of Radiology, Yonsei University College of Medicine, Seoul, Korea.
Jin-Young ChoiDepartment of Radiology, Yonsei University College of Medicine, Seoul, Korea.
Seung Up KimDepartment of Internal Medicine and Yonsei University College of Medicine, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimsA risk prediction model for the development of hepatocellular carcinoma (HCC) from indeterminate nodules detected on computed tomography (CT) (RadCT score) in patients with chronic hepatitis B (CHB)-related cirrhosis was proposed. We validated this model for indeterminate nodules on magnetic resonance imaging (MRI).

methodsBetween 2013 and 2016, Liver Imaging Reporting and Data System (LI-RADS) 2/3 nodules on MRI were detected in 99 patients with CHB. The RadCT score was calculated.

resultsThe median age of the 72 male and 27 female subjects was 58 years. HCC history and liver cirrhosis were found in 47 (47.5%) and 44 (44.4%) patients, respectively. The median RadCT score was 112. The patients with HCC (n=41, 41.4%) showed significantly higher RadCT scores than those without (median, 119 vs. 107; P=0.013); the Chinese university-HCC and risk estimation for HCC in CHB (REACH-B) scores were similar (both P>0.05). Arterial enhancement, T2 hyperintensity, and diffusion restriction on MRI were not significantly different in the univariate analysis (all P>0.05); only the RadCT score significantly predicted HCC (hazard ratio [HR]=1.018; P=0.007). Multivariate analysis showed HCC history was the only independent HCC predictor (HR=2.374; P=0.012). When the subjects were stratified into three risk groups based on the RadCT score (<60, 60-105, and >105), the cumulative HCC incidence was not significantly different among them (all P>0.05, log-rank test).

conclusionHCC history, but not RadCT score, predicted CHB-related HCC development from LI-RADS 2/3 nodules. New risk models optimized for MRI-defined indeterminate nodules are required.

Indexed as

AgedAntiviral AgentsCarcinoma, HepatocellularFemaleHepatitis B, ChronicHumansIncidenceLiverLiver NeoplasmsMagnetic Resonance ImagingMaleMiddle AgedMultivariate AnalysisProportional Hazards ModelsRetrospective StudiesRisk AssessmentAntiviral AgentsHepatitis BHepatocellular carcinomaLiver neoplasmsRadiographic image interpretation, Computer-assistedRisk assessment

Identifiers

PMID31146508
PMCPMC6933117

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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.