Evidence map›Paper›PMID 27847278›Full record

ArticleClinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association2017

Validation of the Hong Kong Liver Cancer Staging System in Determining Prognosis of the North American Patients Following Intra-arterial Therapy.

Jae Ho Sohn, Rafael Duran, Yan Zhao, Florian Fleckenstein, Julius Chapiro, Sonia Sahu, Rüdiger E Schernthaner, Tianchen Qian, Howard Lee, Li Zhao and 5 more

Open access · greenAbstract readComparative StudyEvaluation Study
In one paragraph

Article in Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 11% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

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  17. Staging systems of hepatocellular carcinoma: A review.Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology · 2018
    Review
  18. Article
  19. Article
  20. New concepts in embolotherapy of HCC.Medical oncology (Northwood, London, England) · 2017
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 4 institutions in 1 country.

Jae Ho SohnDepartment of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Connecticut.
Rafael DuranDepartment of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Connecticut.
Yan ZhaoDepartment of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Connecticut.
Florian FleckensteinDepartment of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Connecticut.
Julius ChapiroDepartment of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Connecticut.
Sonia SahuDepartment of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Connecticut.
Rüdiger E SchernthanerDepartment of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Connecticut.
Tianchen QianJohns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Howard LeeDepartment of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Connecticut.
Li ZhaoDepartment of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Connecticut.
James HamiltonDivision of Gastroenterology and Hepatology, Department of Medicine, The Johns Hopkins Hospital, Baltimore, Maryland.
Constantine FrangakisJohns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
MingDe LinDepartment of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Connecticut; U/S Imaging and Interventions (UII), Philips Research North America, Cambridge, Massachusetts.
Riad SalemDepartment of Radiology, Section of Interventional Radiology, Northwestern University, Chicago, Illinois.
Jean-Francois GeschwindDepartment of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Connecticut. Electronic address: jeff.geschwind@yale.edu.
Yale University · USJohns Hopkins University · USJohns Hopkins Hospital · USNorthwestern University · US

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI Rosalie Wollett · 1985 to 2026
$208.6M
Institute for Clinical and Translational Research (UL1)UL1RR025005 · NCRR · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2007 to 2011
$75.8M
See, Reach, Treat Tumor-Optimized Transarterial Chemoembolization DrugDeliveryR01CA160771 · NCI · YALE UNIVERSITY · PI GESCHWIND, JEAN-FRANCOIS H, LIN, MINGDE · 2011 to 2015
$2.6M
NCI NIH HHS P30 CA006973NCI NIH HHS R01 CA160771NCRR NIH HHS UL1 RR025005
6 · The paper itself

Abstract

BACKGROUND &

aimsThere is debate over the best way to stage hepatocellular carcinoma (HCC). We attempted to validate the prognostic and clinical utility of the recently developed Hong Kong Liver Cancer (HKLC) staging system, a hepatitis B-based model, and compared data with that from the Barcelona Clinic Liver Cancer (BCLC) staging system in a North American population that underwent intra-arterial therapy (IAT).

methodsWe performed a retrospective analysis of data from 1009 patients with HCC who underwent IAT from 2000 through 2014. Most patients had hepatitis C or unresectable tumors; all patients underwent IAT, with or without resection, transplantation, and/or systemic chemotherapy. We calculated HCC stage for each patient using 5-stage HKLC (HKLC-5) and 9-stage HKLC (HKLC-9) system classifications, and the BCLC system. Survival information was collected up until the end of 2014 at which point living or unconfirmed patients were censored. We compared performance of the BCLC, HKLC-5, and HKLC-9 systems in predicting patient outcomes using Kaplan-Meier estimates, calibration plots, C statistic, Akaike information criterion, and the likelihood ratio test.

resultsMedian overall survival time, calculated from first IAT until date of death or censorship, for the entire cohort (all stages) was 9.8 months. The BCLC and HKLC staging systems predicted patient survival times with significance (P < .001). HKLC-5 and HKLC-9 each demonstrated good calibration. The HKLC-5 system outperformed the BCLC system in predicting patient survival times (HKLC C = 0.71, Akaike information criterion = 6242; BCLC C = 0.64, Akaike information criterion = 6320), reducing error in predicting survival time (HKLC reduced error by 14%, BCLC reduced error by 12%), and homogeneity (HKLC chi-square = 201, P < .001; BCLC chi-square = 119, P < .001) and monotonicity (HKLC linear trend chi-square = 193, P < .001; BCLC linear trend chi-square = 111, P < .001). Small proportions of patients with HCC of stages IV or V, according to the HKLC system, survived for 6 months and 4 months, respectively.

conclusionsIn a retrospective analysis of patients who underwent IAT for unresectable HCC, we found the HKLC-5 staging system to have the best combination of performances in survival separation, calibration, and discrimination; it consistently outperformed the BCLC system in predicting survival times of patients. The HKLC system identified patients with HCC of stages IV and V who are unlikely to benefit from IAT.

Indexed as

Severity of Illness IndexAgedEmbolization, TherapeuticFemaleHumansLiver NeoplasmsMaleMiddle AgedNorth AmericaPrognosisRetrospective StudiesLiver CancerPredicted OutcomePrognosisRisk Factors

Identifiers

PMID27847278
PMCPMC5823259
OpenAlexW2552616951

What OpenQuestion holds

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Registered trials

None linked

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.