Evidence map›Paper›PMID 27779194›Full record

ArticleThe American journal of gastroenterology2017

Development of Risk Prediction Model for Hepatocellular Carcinoma Progression of Indeterminate Nodules in Hepatitis B Virus-Related Cirrhotic Liver.

Hyo Jung Cho, Bohyun Kim, Jung-Dong Lee, Dae Ryong Kang, Jai Keun Kim, Jei Hee Lee, Sung Jae Shin, Kee Myung Lee, Byung Moo Yoo, Kwang Jae Lee and 3 more

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Article in The American journal of gastroenterology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
–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

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
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  8. Observational
  9. Article
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  11. [Research progress in imaging characteristics of precancerous nodules in hepatocellular carcinoma cells].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2020
    Review
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  15. Frequency and Outcomes of Abnormal Imaging in Patients With Cirrhosis Enrolled in a Hepatocellular Carcinoma Surveillance Program.Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society · 2019
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  17. Review
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  19. Response to Dr Giannini et al.The American journal of gastroenterology · 2017
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Hyo Jung ChoDepartment of Gastroenterology, Ajou University School of Medicine, Suwon, South Korea.
Bohyun KimDepartment of Radiology, Ajou University School of Medicine, Suwon, South Korea.
Jung-Dong LeeOffice of Biostatistics, Ajou University School of Medicine, Suwon, South Korea.
Dae Ryong KangOffice of Biostatistics, Ajou University School of Medicine, Suwon, South Korea.
Jai Keun KimDepartment of Radiology, Ajou University School of Medicine, Suwon, South Korea.
Jei Hee LeeDepartment of Radiology, Ajou University School of Medicine, Suwon, South Korea.
Sung Jae ShinDepartment of Gastroenterology, Ajou University School of Medicine, Suwon, South Korea.
Kee Myung LeeDepartment of Gastroenterology, Ajou University School of Medicine, Suwon, South Korea.
Byung Moo YooDepartment of Gastroenterology, Ajou University School of Medicine, Suwon, South Korea.
Kwang Jae LeeDepartment of Gastroenterology, Ajou University School of Medicine, Suwon, South Korea.
Soon Sun KimDepartment of Gastroenterology, Ajou University School of Medicine, Suwon, South Korea.
Jae Youn CheongDepartment of Gastroenterology, Ajou University School of Medicine, Suwon, South Korea.
Sung Won ChoDepartment of Gastroenterology, Ajou University School of Medicine, Suwon, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study was performed to evaluate long-term outcome of indeterminate nodules detected on cirrhotic liver and to develop risk prediction model for hepatocellular carcinoma (HCC) progression of indeterminate nodules on hepatitis B virus (HBV)-related cirrhotic liver.

methodsIndeterminate nodules up to 2 cm with uncertain malignant potential detected on computed tomography of cirrhotic liver during HCC surveillance were analyzed retrospectively. HCC risk prediction model of indeterminate nodules in HBV-related cirrhotic liver was deduced based on result of Cox regression analysis.

resultsA total of 494 indeterminate nodules were included. Independent risk factors of HCC progression were old age, arterial enhancement, large nodule size, low serum albumin level, high serum α-fetoprotein (AFP) level, and prior HCC history in all included subjects. In subjects with chronic hepatitis B, old age (year; hazard ratio (HR)=1.06; P<0.001), arterial enhancement (HR=2.62; P=0.005), large nodule size (>1 cm; HR=7.34; P<0.001), low serum albumin level (≤3.5 g/dl; HR=3.57; P=0.001), high serum AFP level (≥100 ng/ml; HR=6.04; P=0.006), prior HCC history (HR=4.24; P=0.001), and baseline hepatitis B e antigen positivity (HR=2.31; P=0.007) were associated with HCC progression. We developed a simple risk prediction model using these risk factors and identified patients at low, intermediate, and high risk for HCC; 5-year cumulative incidences were 1%, 14.5%, and 63.1%, respectively. The developed risk score model showed good performance with area under the curve at 0.886 at 3 years, and 0.920 at 5 years in leave-one-out cross-validation.

conclusionsWe developed a useful and accurate risk score model for predicting HCC progression of indeterminate nodules detected on HBV-related cirrhotic liver.

Indexed as

AdultAgedAged, 80 and overAge Factorsalpha-FetoproteinsCarcinoma, HepatocellularDisease ProgressionFemaleHepatitis B, ChronicHumansHypoalbuminemiaIncidenceLiverLiver CirrhosisLiver NeoplasmsMalealpha-Fetoproteins

Identifiers

PMID27779194

What OpenQuestion holds

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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.