Validation of serological models for staging and prognostication of HCC in patients from a Japanese nationwide survey View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-10

AUTHORS

Hienori Toyoda, Toshifumi Tada, Philip J. Johnson, Namiki Izumi, Masumi Kadoya, Shuichi Kaneko, Norihiro Kokudo, Yonson Ku, Shoji Kubo, Takashi Kumada, Yutaka Matsuyama, Osamu Nakashima, Michiie Sakamoto, Tadatoshi Takayama, Masatoshi Kudo, The Liver Cancer Study Group of Japan

ABSTRACT

BACKGROUND: Two serology-based scoring models for prognostication of patients with hepatocellular carcinoma (HCC), the BALAD and BALAD-2 models, were applied to a Japanese cohort of a nationwide follow-up survey of HCC. The ability of these models to predict the progression of HCC and the deterioration of liver function and to assess prognosis was evaluated. METHODS: BALAD and BALAD-2 scores were calculated in 24,029 patients from a cohort of Japanese nationwide survey based on the serum levels of five markers (bilirubin, albumin, lens culinaris agglutinin-reactive alpha-fetoprotein, alpha-fetoprotein, and des-gamma-carboxy prothrombin) measured at the time of HCC diagnosis. The associations of these scores with the progression of HCC and liver function and with survival rates were analyzed. RESULTS: There were good correlations between BALAD and BALAD-2 scores and the progression of HCC and Child-Pugh class. Both scores accurately categorized patients into risk groups with different survival rates. BALAD-2 showed superior discrimination of patient survival compared with the original BALAD. CONCLUSIONS: Serology-based scoring models for prognostication, especially the BALAD-2 model, were useful for staging and prognostication of survival in a cohort of Japanese patients with HCC from a nationwide survey. More... »

PAGES

1112-1121

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00535-017-1321-6

DOI

http://dx.doi.org/10.1007/s00535-017-1321-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1083855091

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/28224228


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00535-017-1321-6'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00535-017-1321-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00535-017-1321-6'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00535-017-1321-6'


 

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