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Sociodemographic Characteristics as Predictors of Outcomes in Hepatocellular Carcinoma: A Retrospective Cohort Study
Background: Race, gender, insurance status, and income play important roles in predicting health care outcomes. However, the impact of these factors has yet to be fully elucidated in the setting of hepatocellular carcinoma (HCC). Methods: We designed a retrospective cohort study utilizing data from...
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Published in: | Cancer control 2020-01, Vol.27 (1), p.1073274820956615-1073274820956615 |
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creator | Beutler, Bryce D. Ulanja, Mark B. Krishan, Rohee Aluru, Vijay Ndukwu, Munachismo L. Hagen, Molly M. Dupin, Zachary D. Willyard, Charles E. Moody, Alastair E. Boampong-Konam, Killian Zell, Steven C. |
description | Background:
Race, gender, insurance status, and income play important roles in predicting health care outcomes. However, the impact of these factors has yet to be fully elucidated in the setting of hepatocellular carcinoma (HCC).
Methods:
We designed a retrospective cohort study utilizing data from the Surveillance, Epidemiology, and End Results (SEER) program to identify patients diagnosed with resectable HCC (N = 28,518). Demographic factors of interest included race (Asian/Pacific Islander [API], African American [AA], Native American/Alaska Native [NA], or White [WH]) and gender (male [M] or female [F]). Insurance classifications included those having Medicare/Private Insurance [ME/PI], Medicaid [MAID], or No Insurance [NI]. Median household income was estimated for all diagnosed with HCC. Endpoints included: (1) overall survival; (2) likelihood of receiving a recommendation for surgery; and (3) specific surgical intervention performed. Multivariate multinomial logistic regression for relative risk ratio (RRR) and Cox regression models were used to identify pertinent associations.
Results:
Race, gender, insurance status, and income had statistically significant effects on the likelihood of surgical recommendation and overall survival. API were more likely to receive a recommendation for hepatic resection (RRR = 1.45; 95% CI: 1.31-1.61; Reference Race: AA) and exhibited prolonged overall survival (HR = 0.77; 95% CI: 0.73-0.82; Reference Race: AA) as compared to members of any other ethnic group; there was no difference in these endpoints between AA, NA, or WH individuals. Gender also had a significant effect on survival: Females exhibited superior overall survival (HR = 0.89; 95% CI: 0.85-0.93; Reference Gender: M) as compared to males. Patients who had ME/PI were more likely than those with MAID or NI to receive a surgical recommendation. ME/PI was also associated with superior overall survival. Conclusions: Race, gender, insurance status, and income have measurable effects on HCC management and outcomes. The underlying causes of these disparities warrant further investigation. |
doi_str_mv | 10.1177/1073274820956615 |
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fullrecord | <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_cc4610a195374d73a183b871be9e0b4e</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sage_id>10.1177_1073274820956615</sage_id><doaj_id>oai_doaj_org_article_cc4610a195374d73a183b871be9e0b4e</doaj_id><sourcerecordid>2444603011</sourcerecordid><originalsourceid>FETCH-LOGICAL-c528t-7ddebea442e3a880c81cb9ea25a40cfe068b2bce715d6a8a53b6cb4b05b99d433</originalsourceid><addsrcrecordid>eNp1ks1v1DAQxSMEoqVw54Qscekl4M_Y4YBUrYBWqlRE4RyNndldr5I42E6l_vd42VJoJU62PG9-9hu_qnrN6DvGtH7PqBZcS8Npq5qGqSfVMVO8qblQ7dOyL-V6Xz-qXqS0o5RTKeTz6kjwVjGp6HGVr4PzoccxbCLMW-_IagsRXMboU_YuEUjka8TeuxxiImFNrpbswoiJ-Imc4ww5OByGZYBIVhCdn8IIH8gZ-YY5hjSjy_4GySpsQ8zkOi_97cvq2RqGhK_u1pPqx-dP31fn9eXVl4vV2WXtFDe51n2PFkFKjgKMoc4wZ1sErkBSt0baGMutQ81U34ABJWzjrLRU2bbtpRAn1cWB2wfYdXP0I8TbLoDvfh-EuOkgFpMDds7JhlFgrRJa9loAM8IazSy2SK3Ewvp4YM2LHbF3OOUIwwPow8rkt90m3HRat0xqUwCnd4AYfi6Ycjf6tJ8cTBiW1HEpZUMFZaxI3z6S7sISpzKqotKi_Lkye3f0oHJlzCni-v4xjHb7eHSP41Fa3vxr4r7hTx6KoD4IEmzw763_Bf4CTMfEdQ</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2473732583</pqid></control><display><type>article</type><title>Sociodemographic Characteristics as Predictors of Outcomes in Hepatocellular Carcinoma: A Retrospective Cohort Study</title><source>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</source><source>SAGE Open Access</source><source>PubMed Central</source><creator>Beutler, Bryce D. ; Ulanja, Mark B. ; Krishan, Rohee ; Aluru, Vijay ; Ndukwu, Munachismo L. ; Hagen, Molly M. ; Dupin, Zachary D. ; Willyard, Charles E. ; Moody, Alastair E. ; Boampong-Konam, Killian ; Zell, Steven C.</creator><creatorcontrib>Beutler, Bryce D. ; Ulanja, Mark B. ; Krishan, Rohee ; Aluru, Vijay ; Ndukwu, Munachismo L. ; Hagen, Molly M. ; Dupin, Zachary D. ; Willyard, Charles E. ; Moody, Alastair E. ; Boampong-Konam, Killian ; Zell, Steven C.</creatorcontrib><description>Background:
Race, gender, insurance status, and income play important roles in predicting health care outcomes. However, the impact of these factors has yet to be fully elucidated in the setting of hepatocellular carcinoma (HCC).
Methods:
We designed a retrospective cohort study utilizing data from the Surveillance, Epidemiology, and End Results (SEER) program to identify patients diagnosed with resectable HCC (N = 28,518). Demographic factors of interest included race (Asian/Pacific Islander [API], African American [AA], Native American/Alaska Native [NA], or White [WH]) and gender (male [M] or female [F]). Insurance classifications included those having Medicare/Private Insurance [ME/PI], Medicaid [MAID], or No Insurance [NI]. Median household income was estimated for all diagnosed with HCC. Endpoints included: (1) overall survival; (2) likelihood of receiving a recommendation for surgery; and (3) specific surgical intervention performed. Multivariate multinomial logistic regression for relative risk ratio (RRR) and Cox regression models were used to identify pertinent associations.
Results:
Race, gender, insurance status, and income had statistically significant effects on the likelihood of surgical recommendation and overall survival. API were more likely to receive a recommendation for hepatic resection (RRR = 1.45; 95% CI: 1.31-1.61; Reference Race: AA) and exhibited prolonged overall survival (HR = 0.77; 95% CI: 0.73-0.82; Reference Race: AA) as compared to members of any other ethnic group; there was no difference in these endpoints between AA, NA, or WH individuals. Gender also had a significant effect on survival: Females exhibited superior overall survival (HR = 0.89; 95% CI: 0.85-0.93; Reference Gender: M) as compared to males. Patients who had ME/PI were more likely than those with MAID or NI to receive a surgical recommendation. ME/PI was also associated with superior overall survival. Conclusions: Race, gender, insurance status, and income have measurable effects on HCC management and outcomes. The underlying causes of these disparities warrant further investigation.</description><identifier>ISSN: 1073-2748</identifier><identifier>EISSN: 1526-2359</identifier><identifier>EISSN: 1073-2748</identifier><identifier>DOI: 10.1177/1073274820956615</identifier><identifier>PMID: 32951450</identifier><language>eng</language><publisher>Los Angeles, CA: SAGE Publications</publisher><subject>Adolescent ; Adult ; Aged ; Aged, 80 and over ; Carcinoma, Hepatocellular - economics ; Carcinoma, Hepatocellular - mortality ; Carcinoma, Hepatocellular - pathology ; Carcinoma, Hepatocellular - surgery ; Cohort analysis ; Epidemiology ; Ethnicity - statistics & numerical data ; Female ; Follow-Up Studies ; Gender ; Hepatectomy - economics ; Hepatectomy - mortality ; Hepatocellular carcinoma ; Humans ; Insurance, Health ; Liver cancer ; Liver Neoplasms - economics ; Liver Neoplasms - mortality ; Liver Neoplasms - pathology ; Liver Neoplasms - surgery ; Male ; Middle Aged ; Minority & ethnic groups ; Patients ; Prognosis ; Regression analysis ; Retrospective Studies ; SEER Program ; Socioeconomic Factors ; Statistical analysis ; Surgery ; Survival ; Survival Rate ; Young Adult</subject><ispartof>Cancer control, 2020-01, Vol.27 (1), p.1073274820956615-1073274820956615</ispartof><rights>The Author(s) 2020</rights><rights>The Author(s) 2020. This work is licensed under the Creative Commons Attribution – Non-Commercial License https://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s) 2020 2020 SAGE Publications Inc, unless otherwise noted. Manuscript content on this site is licensed under Creative Common Licences</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c528t-7ddebea442e3a880c81cb9ea25a40cfe068b2bce715d6a8a53b6cb4b05b99d433</citedby><cites>FETCH-LOGICAL-c528t-7ddebea442e3a880c81cb9ea25a40cfe068b2bce715d6a8a53b6cb4b05b99d433</cites><orcidid>0000-0002-5071-1826</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7791478/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2473732583?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,21966,25753,27853,27924,27925,37012,37013,44590,44945,45333,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32951450$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Beutler, Bryce D.</creatorcontrib><creatorcontrib>Ulanja, Mark B.</creatorcontrib><creatorcontrib>Krishan, Rohee</creatorcontrib><creatorcontrib>Aluru, Vijay</creatorcontrib><creatorcontrib>Ndukwu, Munachismo L.</creatorcontrib><creatorcontrib>Hagen, Molly M.</creatorcontrib><creatorcontrib>Dupin, Zachary D.</creatorcontrib><creatorcontrib>Willyard, Charles E.</creatorcontrib><creatorcontrib>Moody, Alastair E.</creatorcontrib><creatorcontrib>Boampong-Konam, Killian</creatorcontrib><creatorcontrib>Zell, Steven C.</creatorcontrib><title>Sociodemographic Characteristics as Predictors of Outcomes in Hepatocellular Carcinoma: A Retrospective Cohort Study</title><title>Cancer control</title><addtitle>Cancer Control</addtitle><description>Background:
Race, gender, insurance status, and income play important roles in predicting health care outcomes. However, the impact of these factors has yet to be fully elucidated in the setting of hepatocellular carcinoma (HCC).
Methods:
We designed a retrospective cohort study utilizing data from the Surveillance, Epidemiology, and End Results (SEER) program to identify patients diagnosed with resectable HCC (N = 28,518). Demographic factors of interest included race (Asian/Pacific Islander [API], African American [AA], Native American/Alaska Native [NA], or White [WH]) and gender (male [M] or female [F]). Insurance classifications included those having Medicare/Private Insurance [ME/PI], Medicaid [MAID], or No Insurance [NI]. Median household income was estimated for all diagnosed with HCC. Endpoints included: (1) overall survival; (2) likelihood of receiving a recommendation for surgery; and (3) specific surgical intervention performed. Multivariate multinomial logistic regression for relative risk ratio (RRR) and Cox regression models were used to identify pertinent associations.
Results:
Race, gender, insurance status, and income had statistically significant effects on the likelihood of surgical recommendation and overall survival. API were more likely to receive a recommendation for hepatic resection (RRR = 1.45; 95% CI: 1.31-1.61; Reference Race: AA) and exhibited prolonged overall survival (HR = 0.77; 95% CI: 0.73-0.82; Reference Race: AA) as compared to members of any other ethnic group; there was no difference in these endpoints between AA, NA, or WH individuals. Gender also had a significant effect on survival: Females exhibited superior overall survival (HR = 0.89; 95% CI: 0.85-0.93; Reference Gender: M) as compared to males. Patients who had ME/PI were more likely than those with MAID or NI to receive a surgical recommendation. ME/PI was also associated with superior overall survival. Conclusions: Race, gender, insurance status, and income have measurable effects on HCC management and outcomes. The underlying causes of these disparities warrant further investigation.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Carcinoma, Hepatocellular - economics</subject><subject>Carcinoma, Hepatocellular - mortality</subject><subject>Carcinoma, Hepatocellular - pathology</subject><subject>Carcinoma, Hepatocellular - surgery</subject><subject>Cohort analysis</subject><subject>Epidemiology</subject><subject>Ethnicity - statistics & numerical data</subject><subject>Female</subject><subject>Follow-Up Studies</subject><subject>Gender</subject><subject>Hepatectomy - economics</subject><subject>Hepatectomy - mortality</subject><subject>Hepatocellular carcinoma</subject><subject>Humans</subject><subject>Insurance, Health</subject><subject>Liver cancer</subject><subject>Liver Neoplasms - economics</subject><subject>Liver Neoplasms - mortality</subject><subject>Liver Neoplasms - pathology</subject><subject>Liver Neoplasms - surgery</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Minority & ethnic groups</subject><subject>Patients</subject><subject>Prognosis</subject><subject>Regression analysis</subject><subject>Retrospective Studies</subject><subject>SEER Program</subject><subject>Socioeconomic Factors</subject><subject>Statistical analysis</subject><subject>Surgery</subject><subject>Survival</subject><subject>Survival Rate</subject><subject>Young Adult</subject><issn>1073-2748</issn><issn>1526-2359</issn><issn>1073-2748</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>AFRWT</sourceid><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNp1ks1v1DAQxSMEoqVw54Qscekl4M_Y4YBUrYBWqlRE4RyNndldr5I42E6l_vd42VJoJU62PG9-9hu_qnrN6DvGtH7PqBZcS8Npq5qGqSfVMVO8qblQ7dOyL-V6Xz-qXqS0o5RTKeTz6kjwVjGp6HGVr4PzoccxbCLMW-_IagsRXMboU_YuEUjka8TeuxxiImFNrpbswoiJ-Imc4ww5OByGZYBIVhCdn8IIH8gZ-YY5hjSjy_4GySpsQ8zkOi_97cvq2RqGhK_u1pPqx-dP31fn9eXVl4vV2WXtFDe51n2PFkFKjgKMoc4wZ1sErkBSt0baGMutQ81U34ABJWzjrLRU2bbtpRAn1cWB2wfYdXP0I8TbLoDvfh-EuOkgFpMDds7JhlFgrRJa9loAM8IazSy2SK3Ewvp4YM2LHbF3OOUIwwPow8rkt90m3HRat0xqUwCnd4AYfi6Ycjf6tJ8cTBiW1HEpZUMFZaxI3z6S7sISpzKqotKi_Lkye3f0oHJlzCni-v4xjHb7eHSP41Fa3vxr4r7hTx6KoD4IEmzw763_Bf4CTMfEdQ</recordid><startdate>20200101</startdate><enddate>20200101</enddate><creator>Beutler, Bryce D.</creator><creator>Ulanja, Mark B.</creator><creator>Krishan, Rohee</creator><creator>Aluru, Vijay</creator><creator>Ndukwu, Munachismo L.</creator><creator>Hagen, Molly M.</creator><creator>Dupin, Zachary D.</creator><creator>Willyard, Charles E.</creator><creator>Moody, Alastair E.</creator><creator>Boampong-Konam, Killian</creator><creator>Zell, Steven C.</creator><general>SAGE Publications</general><general>Sage Publications Ltd</general><general>SAGE Publishing</general><scope>AFRWT</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TO</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H94</scope><scope>K9.</scope><scope>M0S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-5071-1826</orcidid></search><sort><creationdate>20200101</creationdate><title>Sociodemographic Characteristics as Predictors of Outcomes in Hepatocellular Carcinoma: A Retrospective Cohort Study</title><author>Beutler, Bryce D. ; Ulanja, Mark B. ; Krishan, Rohee ; Aluru, Vijay ; Ndukwu, Munachismo L. ; Hagen, Molly M. ; Dupin, Zachary D. ; Willyard, Charles E. ; Moody, Alastair E. ; Boampong-Konam, Killian ; Zell, Steven C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c528t-7ddebea442e3a880c81cb9ea25a40cfe068b2bce715d6a8a53b6cb4b05b99d433</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Carcinoma, Hepatocellular - economics</topic><topic>Carcinoma, Hepatocellular - mortality</topic><topic>Carcinoma, Hepatocellular - pathology</topic><topic>Carcinoma, Hepatocellular - surgery</topic><topic>Cohort analysis</topic><topic>Epidemiology</topic><topic>Ethnicity - statistics & numerical data</topic><topic>Female</topic><topic>Follow-Up Studies</topic><topic>Gender</topic><topic>Hepatectomy - economics</topic><topic>Hepatectomy - mortality</topic><topic>Hepatocellular carcinoma</topic><topic>Humans</topic><topic>Insurance, Health</topic><topic>Liver cancer</topic><topic>Liver Neoplasms - economics</topic><topic>Liver Neoplasms - mortality</topic><topic>Liver Neoplasms - pathology</topic><topic>Liver Neoplasms - surgery</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Minority & ethnic groups</topic><topic>Patients</topic><topic>Prognosis</topic><topic>Regression analysis</topic><topic>Retrospective Studies</topic><topic>SEER Program</topic><topic>Socioeconomic Factors</topic><topic>Statistical analysis</topic><topic>Surgery</topic><topic>Survival</topic><topic>Survival Rate</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Beutler, Bryce D.</creatorcontrib><creatorcontrib>Ulanja, Mark B.</creatorcontrib><creatorcontrib>Krishan, Rohee</creatorcontrib><creatorcontrib>Aluru, Vijay</creatorcontrib><creatorcontrib>Ndukwu, Munachismo L.</creatorcontrib><creatorcontrib>Hagen, Molly M.</creatorcontrib><creatorcontrib>Dupin, Zachary D.</creatorcontrib><creatorcontrib>Willyard, Charles E.</creatorcontrib><creatorcontrib>Moody, Alastair E.</creatorcontrib><creatorcontrib>Boampong-Konam, Killian</creatorcontrib><creatorcontrib>Zell, Steven C.</creatorcontrib><collection>SAGE Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Directory of Open Access Journals</collection><jtitle>Cancer control</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Beutler, Bryce D.</au><au>Ulanja, Mark B.</au><au>Krishan, Rohee</au><au>Aluru, Vijay</au><au>Ndukwu, Munachismo L.</au><au>Hagen, Molly M.</au><au>Dupin, Zachary D.</au><au>Willyard, Charles E.</au><au>Moody, Alastair E.</au><au>Boampong-Konam, Killian</au><au>Zell, Steven C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Sociodemographic Characteristics as Predictors of Outcomes in Hepatocellular Carcinoma: A Retrospective Cohort Study</atitle><jtitle>Cancer control</jtitle><addtitle>Cancer Control</addtitle><date>2020-01-01</date><risdate>2020</risdate><volume>27</volume><issue>1</issue><spage>1073274820956615</spage><epage>1073274820956615</epage><pages>1073274820956615-1073274820956615</pages><issn>1073-2748</issn><eissn>1526-2359</eissn><eissn>1073-2748</eissn><abstract>Background:
Race, gender, insurance status, and income play important roles in predicting health care outcomes. However, the impact of these factors has yet to be fully elucidated in the setting of hepatocellular carcinoma (HCC).
Methods:
We designed a retrospective cohort study utilizing data from the Surveillance, Epidemiology, and End Results (SEER) program to identify patients diagnosed with resectable HCC (N = 28,518). Demographic factors of interest included race (Asian/Pacific Islander [API], African American [AA], Native American/Alaska Native [NA], or White [WH]) and gender (male [M] or female [F]). Insurance classifications included those having Medicare/Private Insurance [ME/PI], Medicaid [MAID], or No Insurance [NI]. Median household income was estimated for all diagnosed with HCC. Endpoints included: (1) overall survival; (2) likelihood of receiving a recommendation for surgery; and (3) specific surgical intervention performed. Multivariate multinomial logistic regression for relative risk ratio (RRR) and Cox regression models were used to identify pertinent associations.
Results:
Race, gender, insurance status, and income had statistically significant effects on the likelihood of surgical recommendation and overall survival. API were more likely to receive a recommendation for hepatic resection (RRR = 1.45; 95% CI: 1.31-1.61; Reference Race: AA) and exhibited prolonged overall survival (HR = 0.77; 95% CI: 0.73-0.82; Reference Race: AA) as compared to members of any other ethnic group; there was no difference in these endpoints between AA, NA, or WH individuals. Gender also had a significant effect on survival: Females exhibited superior overall survival (HR = 0.89; 95% CI: 0.85-0.93; Reference Gender: M) as compared to males. Patients who had ME/PI were more likely than those with MAID or NI to receive a surgical recommendation. ME/PI was also associated with superior overall survival. Conclusions: Race, gender, insurance status, and income have measurable effects on HCC management and outcomes. The underlying causes of these disparities warrant further investigation.</abstract><cop>Los Angeles, CA</cop><pub>SAGE Publications</pub><pmid>32951450</pmid><doi>10.1177/1073274820956615</doi><orcidid>https://orcid.org/0000-0002-5071-1826</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adolescent Adult Aged Aged, 80 and over Carcinoma, Hepatocellular - economics Carcinoma, Hepatocellular - mortality Carcinoma, Hepatocellular - pathology Carcinoma, Hepatocellular - surgery Cohort analysis Epidemiology Ethnicity - statistics & numerical data Female Follow-Up Studies Gender Hepatectomy - economics Hepatectomy - mortality Hepatocellular carcinoma Humans Insurance, Health Liver cancer Liver Neoplasms - economics Liver Neoplasms - mortality Liver Neoplasms - pathology Liver Neoplasms - surgery Male Middle Aged Minority & ethnic groups Patients Prognosis Regression analysis Retrospective Studies SEER Program Socioeconomic Factors Statistical analysis Surgery Survival Survival Rate Young Adult |
title | Sociodemographic Characteristics as Predictors of Outcomes in Hepatocellular Carcinoma: A Retrospective Cohort Study |
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