Trends in the Mortality of Hepatocellular Carcinoma in the United States View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-12

AUTHORS

Eliza W. Beal, Dmitry Tumin, Ali Kabir, Dimitrios Moris, Xu-Feng Zhang, Jeffery Chakedis, Kenneth Washburn, Sylvester Black, Carl M. Schmidt, Timothy M. Pawlik

ABSTRACT

INTRODUCTION: Primary liver cancer mortality rates have been increasing in the US, but reported decreases among 35-49 year olds may foreshadow future declines. We sought to use age-period-cohort (APC) modeling to evaluate the contribution of cohort effects to hepatocellular carcinoma (HCC) mortality trends in the US. METHODS: Data on HCC mortality were obtained from the Centers for Disease Control and Prevention National Center for Health Statistics WONDER Online Multiple Cause of Death database, 1999-2015. Crude mortality rates were plotted by gender and age at death. Gender-specific restricted cubic spline APC models were fit to determine influence of birth cohort on incidence of HCC mortality, in reference to the 1940 birth cohort. RESULTS: Highest mortality rates were found among men ages 70+, with steepest increase in mortality observed among men 55-69 years old. Similar trends were found among females. Accounting for the cohort effect in the APC model markedly improved model fit (likelihood ratio test p < 0.001). Relative to the 1940 birth cohort, risk of mortality due to HCC was significantly higher in later as well as earlier cohorts. CONCLUSIONS: HCC-associated mortality continues to increase, secondary to an increase in the risk of HCC-associated mortality in more recent birth cohorts among both men and women. More... »

PAGES

2033-2038

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11605-017-3526-7

DOI

http://dx.doi.org/10.1007/s11605-017-3526-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1091088341

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/28785936


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1117", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Public Health and Health Services", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Age Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged, 80 and over", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Carcinoma, Hepatocellular", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cohort Effect", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Databases, Factual", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Liver Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Models, Statistical", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Mortality", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sex Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "United States", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "name": [
            "Department of Surgery, Division of Surgical Oncology, The Ohio State University Wexner Medical Center and James Cancer Hospital and Solove Research Institute, Columbus, OH, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Beal", 
        "givenName": "Eliza W.", 
        "id": "sg:person.0673552672.00", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0673552672.00"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Nationwide Children's Hospital", 
          "id": "https://www.grid.ac/institutes/grid.240344.5", 
          "name": [
            "Department of Anesthesiology and Pain Medicine, Nationwide Children\u2019s Hospital, Columbus, OH, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tumin", 
        "givenName": "Dmitry", 
        "id": "sg:person.01200374423.50", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01200374423.50"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Surgery, Division of Surgical Oncology, The Ohio State University Wexner Medical Center and James Cancer Hospital and Solove Research Institute, Columbus, OH, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kabir", 
        "givenName": "Ali", 
        "id": "sg:person.01007647203.30", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01007647203.30"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Surgery, Division of Surgical Oncology, The Ohio State University Wexner Medical Center and James Cancer Hospital and Solove Research Institute, Columbus, OH, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Moris", 
        "givenName": "Dimitrios", 
        "id": "sg:person.016065725403.89", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016065725403.89"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "First Affiliated Hospital of Xi'an Jiaotong University", 
          "id": "https://www.grid.ac/institutes/grid.452438.c", 
          "name": [
            "Department of Surgery, Division of Surgical Oncology, The Ohio State University Wexner Medical Center and James Cancer Hospital and Solove Research Institute, Columbus, OH, USA", 
            "Department of Hepatobiliary Surgery and Institute of Advanced Surgical Technology and Engineering, First Affiliated Hospital of Xi\u2019an Jiaotong University, Xi\u2019an, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhang", 
        "givenName": "Xu-Feng", 
        "id": "sg:person.015166062543.48", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015166062543.48"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Surgery, Division of Surgical Oncology, The Ohio State University Wexner Medical Center and James Cancer Hospital and Solove Research Institute, Columbus, OH, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chakedis", 
        "givenName": "Jeffery", 
        "id": "sg:person.013207600377.62", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013207600377.62"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "First Affiliated Hospital of Xi'an Jiaotong University", 
          "id": "https://www.grid.ac/institutes/grid.452438.c", 
          "name": [
            "Department of Hepatobiliary Surgery and Institute of Advanced Surgical Technology and Engineering, First Affiliated Hospital of Xi\u2019an Jiaotong University, Xi\u2019an, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Washburn", 
        "givenName": "Kenneth", 
        "id": "sg:person.010753337627.61", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010753337627.61"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "First Affiliated Hospital of Xi'an Jiaotong University", 
          "id": "https://www.grid.ac/institutes/grid.452438.c", 
          "name": [
            "Department of Hepatobiliary Surgery and Institute of Advanced Surgical Technology and Engineering, First Affiliated Hospital of Xi\u2019an Jiaotong University, Xi\u2019an, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Black", 
        "givenName": "Sylvester", 
        "id": "sg:person.01123310224.73", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01123310224.73"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Surgery, Division of Surgical Oncology, The Ohio State University Wexner Medical Center and James Cancer Hospital and Solove Research Institute, Columbus, OH, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Schmidt", 
        "givenName": "Carl M.", 
        "id": "sg:person.07514530737.49", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07514530737.49"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The Ohio State University", 
          "id": "https://www.grid.ac/institutes/grid.261331.4", 
          "name": [
            "Department of Surgery, Division of Surgical Oncology, The Ohio State University Wexner Medical Center and James Cancer Hospital and Solove Research Institute, Columbus, OH, USA", 
            "Department of Surgery, The Urban Meyer III and Shelley Meyer Chair for Cancer Research, The Ohio State University, Wexner Medical Center, 395 W. 12th Ave., Suite 670, Columbus, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pawlik", 
        "givenName": "Timothy M.", 
        "id": "sg:person.0721627074.41", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0721627074.41"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.hpb.2016.10.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002365232"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/sim.2764", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005267637"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/lt.24503", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006082599"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/sim.4780080504", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010094688"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/liv.13027", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010367787"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3322/caac.21262", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013257560"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cgh.2010.08.019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013366810"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7314/apjcp.2015.16.18.8589", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020135424"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/lt.24690", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023816414"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/1010539511422941", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028520016"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/1010539511422941", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028520016"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ajg.2014.11", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029676835", 
          "https://doi.org/10.1038/ajg.2014.11"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ajg.2014.11", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029676835", 
          "https://doi.org/10.1038/ajg.2014.11"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/hepr.12177", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033951566"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1053/j.gastro.2004.09.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035011181"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/hep.27222", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036332826"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1053/j.gastro.2014.11.039", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036930023"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1053/j.gastro.2016.11.020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046303935"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/lt.24758", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084014216"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cld.2016.12.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084066199"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jhep.2017.03.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084088510"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/tp.0000000000001730", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084196860"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/tp.0000000000001730", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084196860"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/tri.12967", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084803915"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11938-017-0133-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084930693", 
          "https://doi.org/10.1007/s11938-017-0133-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11938-017-0133-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084930693", 
          "https://doi.org/10.1007/s11938-017-0133-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.15585/mmwr.mm6618a2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085467419"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-12", 
    "datePublishedReg": "2017-12-01", 
    "description": "INTRODUCTION: Primary liver cancer mortality rates have been increasing in the US, but reported decreases among 35-49\u00a0year olds may foreshadow future declines. We sought to use age-period-cohort (APC) modeling to evaluate the contribution of cohort effects to hepatocellular carcinoma (HCC) mortality trends in the US.\nMETHODS: Data on HCC mortality were obtained from the Centers for Disease Control and Prevention National Center for Health Statistics WONDER Online Multiple Cause of Death database, 1999-2015. Crude mortality rates were plotted by gender and age at death. Gender-specific restricted cubic spline APC models were fit to determine influence of birth cohort on incidence of HCC mortality, in reference to the 1940 birth cohort.\nRESULTS: Highest mortality rates were found among men ages 70+, with steepest increase in mortality observed among men 55-69\u00a0years old. Similar trends were found among females. Accounting for the cohort effect in the APC model markedly improved model fit (likelihood ratio test p\u00a0<\u00a00.001). Relative to the 1940 birth cohort, risk of mortality due to HCC was significantly higher in later as well as earlier cohorts.\nCONCLUSIONS: HCC-associated mortality continues to increase, secondary to an increase in the risk of HCC-associated mortality in more recent birth cohorts among both men and women.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11605-017-3526-7", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1116755", 
        "issn": [
          "1091-255X", 
          "1873-4626"
        ], 
        "name": "Journal of Gastrointestinal Surgery", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "12", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "21"
      }
    ], 
    "name": "Trends in the Mortality of Hepatocellular Carcinoma in the United States", 
    "pagination": "2033-2038", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "e5876172231813bb2825011e829c749860d0fff40e1dda285e2494e5d34c86a2"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "28785936"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9706084"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11605-017-3526-7"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1091088341"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11605-017-3526-7", 
      "https://app.dimensions.ai/details/publication/pub.1091088341"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T10:21", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000348_0000000348/records_54334_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs11605-017-3526-7"
  }
]
 

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/s11605-017-3526-7'

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/s11605-017-3526-7'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11605-017-3526-7'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11605-017-3526-7'


 

This table displays all metadata directly associated to this object as RDF triples.

281 TRIPLES      21 PREDICATES      67 URIs      36 LITERALS      24 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11605-017-3526-7 schema:about N0ad93adc1c4b4dd38ee35fbbf115ffdc
2 N0b54eae494fb4567bbe84be8c0bb1ef1
3 N1eff987cd4b14ed7ad0dccfcf754137c
4 N1f677a2438044689857f203ed8ee2c52
5 N330fdfd7c2574ed28715338c68bcc872
6 N575d51c40a3e47f7b44f8dbaf6a5c533
7 N5aaf20cc336e47719ab077a64a26a454
8 N632c9cc7ae074fee8a3fe3df86d8605b
9 N766b8232dd564a69bc2a5d5977133f56
10 Na2351537c21c495cb59aa1921e40e6be
11 Nb591b91881a24cca9ff78f2677d730e3
12 Ncc71a38c517342f399ddaaf55335483b
13 Ncda9f9a47e824cd1ba81c85d97f1659f
14 Ne4cad0366d80429aa4dbecc73beae948
15 Nee43a3fa61434b6d85da4c538010914c
16 anzsrc-for:11
17 anzsrc-for:1117
18 schema:author Nc5061807b5434795a93a56e2ef135df9
19 schema:citation sg:pub.10.1007/s11938-017-0133-3
20 sg:pub.10.1038/ajg.2014.11
21 https://doi.org/10.1002/hep.27222
22 https://doi.org/10.1002/lt.24503
23 https://doi.org/10.1002/lt.24690
24 https://doi.org/10.1002/lt.24758
25 https://doi.org/10.1002/sim.2764
26 https://doi.org/10.1002/sim.4780080504
27 https://doi.org/10.1016/j.cgh.2010.08.019
28 https://doi.org/10.1016/j.cld.2016.12.002
29 https://doi.org/10.1016/j.hpb.2016.10.003
30 https://doi.org/10.1016/j.jhep.2017.03.011
31 https://doi.org/10.1053/j.gastro.2004.09.014
32 https://doi.org/10.1053/j.gastro.2014.11.039
33 https://doi.org/10.1053/j.gastro.2016.11.020
34 https://doi.org/10.1097/tp.0000000000001730
35 https://doi.org/10.1111/hepr.12177
36 https://doi.org/10.1111/liv.13027
37 https://doi.org/10.1111/tri.12967
38 https://doi.org/10.1177/1010539511422941
39 https://doi.org/10.15585/mmwr.mm6618a2
40 https://doi.org/10.3322/caac.21262
41 https://doi.org/10.7314/apjcp.2015.16.18.8589
42 schema:datePublished 2017-12
43 schema:datePublishedReg 2017-12-01
44 schema:description INTRODUCTION: Primary liver cancer mortality rates have been increasing in the US, but reported decreases among 35-49 year olds may foreshadow future declines. We sought to use age-period-cohort (APC) modeling to evaluate the contribution of cohort effects to hepatocellular carcinoma (HCC) mortality trends in the US. METHODS: Data on HCC mortality were obtained from the Centers for Disease Control and Prevention National Center for Health Statistics WONDER Online Multiple Cause of Death database, 1999-2015. Crude mortality rates were plotted by gender and age at death. Gender-specific restricted cubic spline APC models were fit to determine influence of birth cohort on incidence of HCC mortality, in reference to the 1940 birth cohort. RESULTS: Highest mortality rates were found among men ages 70+, with steepest increase in mortality observed among men 55-69 years old. Similar trends were found among females. Accounting for the cohort effect in the APC model markedly improved model fit (likelihood ratio test p < 0.001). Relative to the 1940 birth cohort, risk of mortality due to HCC was significantly higher in later as well as earlier cohorts. CONCLUSIONS: HCC-associated mortality continues to increase, secondary to an increase in the risk of HCC-associated mortality in more recent birth cohorts among both men and women.
45 schema:genre research_article
46 schema:inLanguage en
47 schema:isAccessibleForFree false
48 schema:isPartOf N2b2c0f40de9a47dda32363d68e3e5a5e
49 N3ea501789f084e6f869dafc0aeb15133
50 sg:journal.1116755
51 schema:name Trends in the Mortality of Hepatocellular Carcinoma in the United States
52 schema:pagination 2033-2038
53 schema:productId N094a74305d084b4995f2bdc108bfb2e7
54 N80c6c1573951416cba8102eaf71f7d4c
55 Na47cd9f822be4233a7723f85702d5440
56 Nb7d15652b3fe40df86c13b4e906ffc71
57 Ne986d542209c49108fe1fc47bb5f9aaa
58 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091088341
59 https://doi.org/10.1007/s11605-017-3526-7
60 schema:sdDatePublished 2019-04-11T10:21
61 schema:sdLicense https://scigraph.springernature.com/explorer/license/
62 schema:sdPublisher N75972c7aef7a48a0ad9ed0608c615d07
63 schema:url https://link.springer.com/10.1007%2Fs11605-017-3526-7
64 sgo:license sg:explorer/license/
65 sgo:sdDataset articles
66 rdf:type schema:ScholarlyArticle
67 N027fc020bdb2445398ed61c905a247f4 rdf:first sg:person.0721627074.41
68 rdf:rest rdf:nil
69 N094a74305d084b4995f2bdc108bfb2e7 schema:name readcube_id
70 schema:value e5876172231813bb2825011e829c749860d0fff40e1dda285e2494e5d34c86a2
71 rdf:type schema:PropertyValue
72 N0ad93adc1c4b4dd38ee35fbbf115ffdc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
73 schema:name Age Factors
74 rdf:type schema:DefinedTerm
75 N0b54eae494fb4567bbe84be8c0bb1ef1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
76 schema:name Carcinoma, Hepatocellular
77 rdf:type schema:DefinedTerm
78 N1c333573d9e14188ac55a1cda0df5c1f rdf:first sg:person.015166062543.48
79 rdf:rest Nd314e52161434d8480a50d1514bbb045
80 N1eff987cd4b14ed7ad0dccfcf754137c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
81 schema:name Models, Statistical
82 rdf:type schema:DefinedTerm
83 N1f677a2438044689857f203ed8ee2c52 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
84 schema:name Middle Aged
85 rdf:type schema:DefinedTerm
86 N28f92cdf580244dcaab8a868c339f525 rdf:first sg:person.01200374423.50
87 rdf:rest N8227bf55e1764355819a5428358505ba
88 N2b2c0f40de9a47dda32363d68e3e5a5e schema:volumeNumber 21
89 rdf:type schema:PublicationVolume
90 N330fdfd7c2574ed28715338c68bcc872 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
91 schema:name Liver Neoplasms
92 rdf:type schema:DefinedTerm
93 N3ea501789f084e6f869dafc0aeb15133 schema:issueNumber 12
94 rdf:type schema:PublicationIssue
95 N4b19f1545947464bbe6a013b5000fa57 rdf:first sg:person.016065725403.89
96 rdf:rest N1c333573d9e14188ac55a1cda0df5c1f
97 N4d220fb7d78d417eac507e898cf81208 schema:name Department of Surgery, Division of Surgical Oncology, The Ohio State University Wexner Medical Center and James Cancer Hospital and Solove Research Institute, Columbus, OH, USA
98 rdf:type schema:Organization
99 N549d1527a92c4f348f5c746dac3eba0e schema:name Department of Surgery, Division of Surgical Oncology, The Ohio State University Wexner Medical Center and James Cancer Hospital and Solove Research Institute, Columbus, OH, USA
100 rdf:type schema:Organization
101 N575d51c40a3e47f7b44f8dbaf6a5c533 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
102 schema:name Female
103 rdf:type schema:DefinedTerm
104 N57c63e0bb5034396b7814b99f59a5cf0 schema:name Department of Surgery, Division of Surgical Oncology, The Ohio State University Wexner Medical Center and James Cancer Hospital and Solove Research Institute, Columbus, OH, USA
105 rdf:type schema:Organization
106 N5aaf20cc336e47719ab077a64a26a454 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
107 schema:name United States
108 rdf:type schema:DefinedTerm
109 N632c9cc7ae074fee8a3fe3df86d8605b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
110 schema:name Aged, 80 and over
111 rdf:type schema:DefinedTerm
112 N75972c7aef7a48a0ad9ed0608c615d07 schema:name Springer Nature - SN SciGraph project
113 rdf:type schema:Organization
114 N766b8232dd564a69bc2a5d5977133f56 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
115 schema:name Sex Factors
116 rdf:type schema:DefinedTerm
117 N80c6c1573951416cba8102eaf71f7d4c schema:name nlm_unique_id
118 schema:value 9706084
119 rdf:type schema:PropertyValue
120 N8227bf55e1764355819a5428358505ba rdf:first sg:person.01007647203.30
121 rdf:rest N4b19f1545947464bbe6a013b5000fa57
122 N82fd2ab5162e4447a35690063ce891a1 rdf:first sg:person.010753337627.61
123 rdf:rest Nca467491bba84c578b9a437fa348eb61
124 Na2351537c21c495cb59aa1921e40e6be schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
125 schema:name Aged
126 rdf:type schema:DefinedTerm
127 Na47cd9f822be4233a7723f85702d5440 schema:name pubmed_id
128 schema:value 28785936
129 rdf:type schema:PropertyValue
130 Nb591b91881a24cca9ff78f2677d730e3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
131 schema:name Mortality
132 rdf:type schema:DefinedTerm
133 Nb7d15652b3fe40df86c13b4e906ffc71 schema:name dimensions_id
134 schema:value pub.1091088341
135 rdf:type schema:PropertyValue
136 Nc37cae7af4ce4e15bd5529267e09cfd7 rdf:first sg:person.07514530737.49
137 rdf:rest N027fc020bdb2445398ed61c905a247f4
138 Nc5061807b5434795a93a56e2ef135df9 rdf:first sg:person.0673552672.00
139 rdf:rest N28f92cdf580244dcaab8a868c339f525
140 Nca467491bba84c578b9a437fa348eb61 rdf:first sg:person.01123310224.73
141 rdf:rest Nc37cae7af4ce4e15bd5529267e09cfd7
142 Ncc71a38c517342f399ddaaf55335483b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
143 schema:name Male
144 rdf:type schema:DefinedTerm
145 Ncda9f9a47e824cd1ba81c85d97f1659f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
146 schema:name Cohort Effect
147 rdf:type schema:DefinedTerm
148 Nd314e52161434d8480a50d1514bbb045 rdf:first sg:person.013207600377.62
149 rdf:rest N82fd2ab5162e4447a35690063ce891a1
150 Ndadfe313b76a4f4a95ae9e37eceb4829 schema:name Department of Surgery, Division of Surgical Oncology, The Ohio State University Wexner Medical Center and James Cancer Hospital and Solove Research Institute, Columbus, OH, USA
151 rdf:type schema:Organization
152 Ne4cad0366d80429aa4dbecc73beae948 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
153 schema:name Humans
154 rdf:type schema:DefinedTerm
155 Ne6923e506d1b49daa41199ee334a8012 schema:name Department of Surgery, Division of Surgical Oncology, The Ohio State University Wexner Medical Center and James Cancer Hospital and Solove Research Institute, Columbus, OH, USA
156 rdf:type schema:Organization
157 Ne986d542209c49108fe1fc47bb5f9aaa schema:name doi
158 schema:value 10.1007/s11605-017-3526-7
159 rdf:type schema:PropertyValue
160 Nee43a3fa61434b6d85da4c538010914c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
161 schema:name Databases, Factual
162 rdf:type schema:DefinedTerm
163 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
164 schema:name Medical and Health Sciences
165 rdf:type schema:DefinedTerm
166 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
167 schema:name Public Health and Health Services
168 rdf:type schema:DefinedTerm
169 sg:journal.1116755 schema:issn 1091-255X
170 1873-4626
171 schema:name Journal of Gastrointestinal Surgery
172 rdf:type schema:Periodical
173 sg:person.01007647203.30 schema:affiliation Ndadfe313b76a4f4a95ae9e37eceb4829
174 schema:familyName Kabir
175 schema:givenName Ali
176 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01007647203.30
177 rdf:type schema:Person
178 sg:person.010753337627.61 schema:affiliation https://www.grid.ac/institutes/grid.452438.c
179 schema:familyName Washburn
180 schema:givenName Kenneth
181 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010753337627.61
182 rdf:type schema:Person
183 sg:person.01123310224.73 schema:affiliation https://www.grid.ac/institutes/grid.452438.c
184 schema:familyName Black
185 schema:givenName Sylvester
186 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01123310224.73
187 rdf:type schema:Person
188 sg:person.01200374423.50 schema:affiliation https://www.grid.ac/institutes/grid.240344.5
189 schema:familyName Tumin
190 schema:givenName Dmitry
191 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01200374423.50
192 rdf:type schema:Person
193 sg:person.013207600377.62 schema:affiliation N4d220fb7d78d417eac507e898cf81208
194 schema:familyName Chakedis
195 schema:givenName Jeffery
196 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013207600377.62
197 rdf:type schema:Person
198 sg:person.015166062543.48 schema:affiliation https://www.grid.ac/institutes/grid.452438.c
199 schema:familyName Zhang
200 schema:givenName Xu-Feng
201 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015166062543.48
202 rdf:type schema:Person
203 sg:person.016065725403.89 schema:affiliation N57c63e0bb5034396b7814b99f59a5cf0
204 schema:familyName Moris
205 schema:givenName Dimitrios
206 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016065725403.89
207 rdf:type schema:Person
208 sg:person.0673552672.00 schema:affiliation N549d1527a92c4f348f5c746dac3eba0e
209 schema:familyName Beal
210 schema:givenName Eliza W.
211 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0673552672.00
212 rdf:type schema:Person
213 sg:person.0721627074.41 schema:affiliation https://www.grid.ac/institutes/grid.261331.4
214 schema:familyName Pawlik
215 schema:givenName Timothy M.
216 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0721627074.41
217 rdf:type schema:Person
218 sg:person.07514530737.49 schema:affiliation Ne6923e506d1b49daa41199ee334a8012
219 schema:familyName Schmidt
220 schema:givenName Carl M.
221 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07514530737.49
222 rdf:type schema:Person
223 sg:pub.10.1007/s11938-017-0133-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084930693
224 https://doi.org/10.1007/s11938-017-0133-3
225 rdf:type schema:CreativeWork
226 sg:pub.10.1038/ajg.2014.11 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029676835
227 https://doi.org/10.1038/ajg.2014.11
228 rdf:type schema:CreativeWork
229 https://doi.org/10.1002/hep.27222 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036332826
230 rdf:type schema:CreativeWork
231 https://doi.org/10.1002/lt.24503 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006082599
232 rdf:type schema:CreativeWork
233 https://doi.org/10.1002/lt.24690 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023816414
234 rdf:type schema:CreativeWork
235 https://doi.org/10.1002/lt.24758 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084014216
236 rdf:type schema:CreativeWork
237 https://doi.org/10.1002/sim.2764 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005267637
238 rdf:type schema:CreativeWork
239 https://doi.org/10.1002/sim.4780080504 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010094688
240 rdf:type schema:CreativeWork
241 https://doi.org/10.1016/j.cgh.2010.08.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013366810
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1016/j.cld.2016.12.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084066199
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1016/j.hpb.2016.10.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002365232
246 rdf:type schema:CreativeWork
247 https://doi.org/10.1016/j.jhep.2017.03.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084088510
248 rdf:type schema:CreativeWork
249 https://doi.org/10.1053/j.gastro.2004.09.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035011181
250 rdf:type schema:CreativeWork
251 https://doi.org/10.1053/j.gastro.2014.11.039 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036930023
252 rdf:type schema:CreativeWork
253 https://doi.org/10.1053/j.gastro.2016.11.020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046303935
254 rdf:type schema:CreativeWork
255 https://doi.org/10.1097/tp.0000000000001730 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084196860
256 rdf:type schema:CreativeWork
257 https://doi.org/10.1111/hepr.12177 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033951566
258 rdf:type schema:CreativeWork
259 https://doi.org/10.1111/liv.13027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010367787
260 rdf:type schema:CreativeWork
261 https://doi.org/10.1111/tri.12967 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084803915
262 rdf:type schema:CreativeWork
263 https://doi.org/10.1177/1010539511422941 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028520016
264 rdf:type schema:CreativeWork
265 https://doi.org/10.15585/mmwr.mm6618a2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085467419
266 rdf:type schema:CreativeWork
267 https://doi.org/10.3322/caac.21262 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013257560
268 rdf:type schema:CreativeWork
269 https://doi.org/10.7314/apjcp.2015.16.18.8589 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020135424
270 rdf:type schema:CreativeWork
271 https://www.grid.ac/institutes/grid.240344.5 schema:alternateName Nationwide Children's Hospital
272 schema:name Department of Anesthesiology and Pain Medicine, Nationwide Children’s Hospital, Columbus, OH, USA
273 rdf:type schema:Organization
274 https://www.grid.ac/institutes/grid.261331.4 schema:alternateName The Ohio State University
275 schema:name Department of Surgery, Division of Surgical Oncology, The Ohio State University Wexner Medical Center and James Cancer Hospital and Solove Research Institute, Columbus, OH, USA
276 Department of Surgery, The Urban Meyer III and Shelley Meyer Chair for Cancer Research, The Ohio State University, Wexner Medical Center, 395 W. 12th Ave., Suite 670, Columbus, USA
277 rdf:type schema:Organization
278 https://www.grid.ac/institutes/grid.452438.c schema:alternateName First Affiliated Hospital of Xi'an Jiaotong University
279 schema:name Department of Hepatobiliary Surgery and Institute of Advanced Surgical Technology and Engineering, First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
280 Department of Surgery, Division of Surgical Oncology, The Ohio State University Wexner Medical Center and James Cancer Hospital and Solove Research Institute, Columbus, OH, USA
281 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...