Evidence map›Paper›PMID 24906132›Full record

ArticlePloS one2014

A new Child-Turcotte-Pugh class 0 for patients with hepatocellular carcinoma: determinants, prognostic impact and ability to improve the current staging systems.

Yun-Hsuan Lee, Chia-Yang Hsu, Chen-Wei Chu, Po-Hong Liu, Cheng-Yuan Hsia, Yi-Hsiang Huang, Chien-Wei Su, Yi-You Chiou, Han-Chieh Lin, Teh-Ia Huo

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. 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
0.4field-weighted citation impact, top 35% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

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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 at 3 institutions in 2 countries.

Yun-Hsuan LeeFaculty of Medicine, National Yang-Ming University School of Medicine, Taipei, Taiwan; Department of Medicine, Yuanshan Branch of Taipei Veterans General Hospital, Taipei, Taiwan.
Chia-Yang HsuFaculty of Medicine, National Yang-Ming University School of Medicine, Taipei, Taiwan; Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan; Department of Biostatistics, University of California Los Angeles, Los Angeles, California, United States of America.
Chen-Wei ChuFaculty of Medicine, National Yang-Ming University School of Medicine, Taipei, Taiwan; Department of Medicine, Yuanshan Branch of Taipei Veterans General Hospital, Taipei, Taiwan.
Po-Hong LiuFaculty of Medicine, National Yang-Ming University School of Medicine, Taipei, Taiwan; Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
Cheng-Yuan HsiaFaculty of Medicine, National Yang-Ming University School of Medicine, Taipei, Taiwan; Department of Surgery, Taipei Veterans General Hospital, Taipei, Taiwan.
Yi-Hsiang HuangInstitute of Clinical Medicine, National Yang-Ming University School of Medicine, Taipei, Taiwan; Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
Chien-Wei SuFaculty of Medicine, National Yang-Ming University School of Medicine, Taipei, Taiwan; Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
Yi-You ChiouFaculty of Medicine, National Yang-Ming University School of Medicine, Taipei, Taiwan; Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan.
Han-Chieh LinFaculty of Medicine, National Yang-Ming University School of Medicine, Taipei, Taiwan; Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
Teh-Ia HuoFaculty of Medicine, National Yang-Ming University School of Medicine, Taipei, Taiwan; Institute of Pharmacology, National Yang-Ming University School of Medicine, Taipei, Taiwan; Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
National Yang Ming Chiao Tung University · TWNational Yang Ming Chiao Tung University · TWTaipei Veterans General Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimMajority of patients with hepatocellular carcinoma (HCC) belonged to Child-Turcotte-Pugh (CTP) class A. We aimed to identify a new class of patients with very well-preserved liver function and analyze its impact on outcome prediction, tumor staging and treatment allocation.

methodsA total of 2654 HCC patients were retrospectively analyzed. The prognostic ability was compared by the Akaike information criterion (AIC).

resultsThe CTP class 0 was defined by fulfilling all criteria of albumin ≧4 g/dL, bilirubin ≦0.8 mg/dL, prothrombin time prolongation <0 seconds, no ascites and encephalopathy. A total of 23% of patients of CTP class A were reclassified as CTP class 0. Patients with CTP class 0 had a higher serum sodium level, lower serum creatinine, alanine aminotransferase, α-fetoprotein levels, shorter prothrombin time, better general well-being, smaller tumor burden with more solitary nodules, lower rates of vascular invasion, ascites formation, hepatic encephalopathy, more frequently treated with curative interventions and better Barcelona Clinic Liver Cancer (BCLC) stages (all p<0.001). In the Cox proportional hazards model, the adjusted hazard ratios for CTP class A, B and C were 1.739, 3.120 and 5.107, respectively, compared to class 0 (all p<0.001). Reassigning patients with CTP class 0, A, B, B and C to stage 0, A, B, C and D, respectively, provided the lowest AIC score among all BCLC-based models.

conclusionsThe proposal of CTP class 0 independently predicted better survival in HCC patients. Modification of tumor staging systems according to the modified CTP classification further enhances their prognostic ability.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsDisease-Free SurvivalFemaleHumansMaleNeoplasm StagingPredictive Value of TestsRetrospective StudiesSurvival Rate

Identifiers

PMID24906132
PMCPMC4048310
OpenAlexW2058096611

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.