Evidence map›Paper›PMID 30151272›Full record

ArticleJournal of gastrointestinal oncology2018

Is there an optimal staging system or liver reserve model that can predict outcome in hepatocellular carcinoma?

Veeravich Jaruvongvanich, Tomoki Sempokuya, Linda Wong

Abstract read
In one paragraph

Article in Journal of gastrointestinal oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 6 pooled it
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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

14 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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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

3 authors.

Veeravich JaruvongvanichDepartment of Internal Medicine, University of Hawaii, Honolulu, HI, USA.
Tomoki SempokuyaDepartment of Internal Medicine, University of Hawaii, Honolulu, HI, USA.
Linda WongDepartment of Surgery, University of Hawaii, Honolulu, HI, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMany staging systems and liver reserve models have been proposed to predict hepatocellular carcinoma (HCC) prognosis. However, there is no consensus as to which model provides the best prognostic value. We aimed to investigate the prognostic role of 8 noninvasive models including the albumin-bilirubin index (ALBI), AST to platelet ratio index (APRI), Barcelona Clinic Liver Cancer (BCLC), Cancer of the Liver Italian Program (CLIP) system, Child-Pugh (CP) class, Fibrosis-4 (FIB-4) score, model for end-stage liver disease (MELD) score, and platelet-albumin-bilirubin index (PALBI) in patients with HCC.

methodsThis is a retrospective study of 900 HCC patients. Patients who underwent transplantation were excluded. The Kaplan-Meier method was used to estimate the survival probabilities. Multivariate cox proportional hazard models were used to calculate the survival trend. P<0.05 was considered significant. The area under receiver operating characteristic curve (AUC) was calculated to test the discriminatory power over 1- and 3-year mortality and recurrence.

resultsFor predicting 1- and 3-year mortality, the CLIP score provided the highest AUC value, followed by the BCLC stage and the PALBI grade. For predicting 3-year recurrence, the CLIP score demonstrated the highest discriminative power followed by the PALBI grade, ALBI grade and BCLC system. However, all included models were found to be poor predictors for recurrence.

conclusionsThe CLIP score is more accurate prognostic model to predict mortality and recurrence than the BCLC stage. Regarding the liver reserve models, the PALBI is the most accurate prognostic models among 6 models to predict mortality and recurrence.

Indexed as

Hepatocellular carcinoma (HCC)liver reserve modelsrecurrencestaging systemssurvival

Identifiers

PMID30151272
PMCPMC6087858

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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.