Evidence map›Paper›PMID 31484287›Full record

ArticleCancers2019

Comparison of Models for Tumor Recurrence after Liver Transplantation for the Patients with Hepatocellular Carcinoma: A Multicenter Long-Term Follow-Up Study.

Young Chang, Yuri Cho, Jeong-Hoon Lee, Yun Bin Lee, Eun Ju Cho, Su Jong Yu, Dong Hyun Sinn, Bo Hyun Kim, Seoung Hoon Kim, Nam-Joon Yi and 7 more

Registry-linked trialAbstract read
In one paragraph

Article in Cancers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05018741 (Prognostic Factors After Liver Transplantation), which is not on this map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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.

NCT05018741 completednot on this map

Prognostic Factors After Liver Transplantation

TypeobservationalSponsorChanghua Christian HospitalRan2002 to 2019Enrolled600ConditionsLiver Diseases, Liver Transplant, ComplicationsArmsliver transplantation
3 · Its place in the literature

Who cites it

13 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

17 authors.

Young ChangDepartment of Internal Medicine and Liver Research Institute, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 03080, Korea.
Yuri ChoDepartment of Internal Medicine and Liver Research Institute, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 03080, Korea.ORCID 0000-0002-4488-5352
Jeong-Hoon LeeDepartment of Internal Medicine and Liver Research Institute, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 03080, Korea. pindra@empal.com.ORCID 0000-0002-0315-2080
Yun Bin LeeDepartment of Internal Medicine and Liver Research Institute, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 03080, Korea.ORCID 0000-0002-3193-9745
Eun Ju ChoDepartment of Internal Medicine and Liver Research Institute, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 03080, Korea.
Su Jong YuDepartment of Internal Medicine and Liver Research Institute, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 03080, Korea.
Dong Hyun SinnDepartment of Internal Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea.
Bo Hyun KimCenter for Liver Cancer, National Cancer Center, Goyang-Si, Gyeonggi-Do 10408, Korea.
Seoung Hoon KimCenter for Liver Cancer, National Cancer Center, Goyang-Si, Gyeonggi-Do 10408, Korea.
Nam-Joon YiDepartment of Surgery, Seoul National University College of Medicine, Seoul 03080, Korea.
Kwang-Woong LeeDepartment of Surgery, Seoul National University College of Medicine, Seoul 03080, Korea.
Jong Man KimDepartment of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea.ORCID 0000-0002-1903-8354
Joong-Won ParkCenter for Liver Cancer, National Cancer Center, Goyang-Si, Gyeonggi-Do 10408, Korea.
Yoon Jun KimDepartment of Internal Medicine and Liver Research Institute, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 03080, Korea.
Jung-Hwan YoonDepartment of Internal Medicine and Liver Research Institute, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 03080, Korea.
Jae-Won JohDepartment of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea.
Kyung-Suk SuhDepartment of Surgery, Seoul National University College of Medicine, Seoul 03080, Korea.

Funding

Seoul National University Hospital 03-2016-0380
6 · The paper itself

Abstract

BACKGROUND AND

aimsSeveral models have been developed to predict tumor the recurrence of hepatocellular carcinoma (HCC) after liver transplantation besides the conventional Milan criteria (MC), including the MoRAL score. This study aimed to compare the prognostication power of the MoRAL score to most models designed so far in the Eastern and Western countries.

methodsThis study included 564 patients who underwent living donor liver transplantation (LDLT) in three large-volume hospitals in Korea. The primary and secondary endpoints were time-to-recurrence, and overall survival (OS), respectively. The performance of the MoRAL score was compared with those of other various Liver transplantation (LT) criteria, including the Milan criteria, University of California San Francisco (UCSF) criteria, up-to-seven criteria, Kyoto criteria, AFP model, total tumor volume/AFP criteria, Metroticket 2.0 model, and Weill Cornell Medical College group model.

resultsThe median follow-up duration was 78.1 months. Among all models assessed, the MoRAL score showed the best discrimination function for predicting the risk of tumor recurrence after LT, with

conclusionsThe MoRAL score provides the most refined prognostication for predicting HCC recurrence after LDLT.

Indexed as

hepatocellular carcinomaliving donor liver transplantationMoRAL scoresurvivalvalidation

Identifiers

PMID31484287
PMCPMC6769632

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Registered trials

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.