We are analyzing https://link.springer.com/article/10.1007/s10549-012-2133-2.

Title:
Inflammatory and non-inflammatory breast cancer survival by socioeconomic position in the Surveillance, Epidemiology, and End Results database, 1990–2008 | Breast Cancer Research and Treatment
Description:
Although it has been previously reported that patients with inflammatory breast cancer (IBC) experience worse survival than patients with other breast cancer (BC) types, the socioeconomic and ethnic factors leading to this survival difference are not fully understood. The association between county-level percent of persons below the poverty level and BC-specific (BCS) survival for cases diagnosed from 1990 to 2008 in the Surveillance, Epidemiology, and End Results (SEER) database linked to census derived county attributes was examined. A sub-analysis of cases from 2000 to 2008 also examined BCS survival by an index combining percent below poverty and less than high school graduates as well as metropolitan versus non-metropolitan county of residence. The Kaplan–Meier estimator was used to construct survival curves by stage, inflammatory status, and county-level socioeconomic position (SEP). Stage and inflammatory status stratified proportional hazards models, adjusted for age, race/ethnicity, tumor and treatment characteristics were used to determine the hazard of BCS death by county-level SEP. Kaplan–Meier survival curves indicated IBC has worse survival than stage matched non-IBC, (stage III IBC median survival = 4.75 years vs. non-IBC = 13.4 years, p < 0.0001). Residing in a lower SEP, non-metro county significantly worsens BCS survival for non-IBC in multivariate proportional hazards models. African American cases appear to have worse survival than non-Hispanic Whites regardless of inflammatory status, stage, county-level SEP, tumor, or treatment characteristics. This is the first study to examine IBC survival by SEP in a nation-wide population-based tumor registry. As this analysis found generally poorer survival for IBC, regardless of SEP or race/ethnicity, it is important that interventions that help educate women on IBC symptoms target women in various SEP and race/ethnicity groups.
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cancer, breast, google, scholar, article, pubmed, inflammatory, survival, epidemiology, cas, seer, surveillance, program, socioeconomic, end, results, stage, national, treatment, women, health, research, institute, noninflammatory, status, carcinoma, oncol, data, database, patients, ibc, tumor, clin, merajver, sep, res, ann, accessed, apr, analysis, schairer, factors, county, incidence, race, natl, dawood, university, michigan, statistics,

Topics {✒️}

gov/seerstat/variables/countyattribs/index month download article/chapter gov/icd-o-3/sitetype gov/seerstat/variables/countyattribs large population-based study gov/prod/2005pubs/censr-16 county-level socioeconomic position kaplan–meier survival curves stage seerstat variables breast cancer prognosis noninflammatory breast cancer population-based statistics advanced breast cancer privacy choices/manage cookies rurality affect quality full article pdf surveillance research program anderson wf national cancer institute inflammatory breast cancer inflammatory breast cancer tumor registry rule inflammatory breast carcinoma cancer statistics branch inflammatory breast cancers kaplan–meier estimator nci seer public stage iii inflammatory area-based measure breast cancer survival david schottenfeld & sofia index combining percent body mass index breast carcinoma treatments census-based methodology t4 breast cancers locoregional breast cancers african american cases construct survival curves international expert panel seerstat database special populations program county-level percent county attributes-total county attributes—total breast cancer similar breast conservation surgery breast examination center european economic area ethnic factors leading

Questions {❓}

Anderson WF, Chu KC, Chang S (2003) Inflammatory breast carcinoma and noninflammatory locally advanced breast carcinoma: distinct clinicopathologic entities?
Dawood S, Cristofanilli M (2011) Inflammatory breast cancer: what progress have we made?
Gonzalez-Angulo AM, Hennessy BT, Broglio K et al (2007) Trends for inflammatory breast cancer: is survival improving?
Krieger N, Chen JT, Waterman PD et al (2002) Geocoding and monitoring of US socioeconomic inequalities in mortality and cancer incidence: does the choice of area-based measure and geographic level matter?
Le MG, Arriagada R, Bahi J et al (2006) Are risk factors for breast cancer similar in women with inflammatory breast cancer and in those with non-inflammatory breast cancer?
Martinez SR, Tseng WH, Canter RJ et al (2012) Do radiation use disparities influence survival in patients with advanced breast cancer?
Reid-Arndt SA, Cox CR (2010) Does rurality affect quality of life following treatment for breast cancer?

Schema {🗺️}

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         headline:Inflammatory and non-inflammatory breast cancer survival by socioeconomic position in the Surveillance, Epidemiology, and End Results database, 1990–2008
         description:Although it has been previously reported that patients with inflammatory breast cancer (IBC) experience worse survival than patients with other breast cancer (BC) types, the socioeconomic and ethnic factors leading to this survival difference are not fully understood. The association between county-level percent of persons below the poverty level and BC-specific (BCS) survival for cases diagnosed from 1990 to 2008 in the Surveillance, Epidemiology, and End Results (SEER) database linked to census derived county attributes was examined. A sub-analysis of cases from 2000 to 2008 also examined BCS survival by an index combining percent below poverty and less than high school graduates as well as metropolitan versus non-metropolitan county of residence. The Kaplan–Meier estimator was used to construct survival curves by stage, inflammatory status, and county-level socioeconomic position (SEP). Stage and inflammatory status stratified proportional hazards models, adjusted for age, race/ethnicity, tumor and treatment characteristics were used to determine the hazard of BCS death by county-level SEP. Kaplan–Meier survival curves indicated IBC has worse survival than stage matched non-IBC, (stage III IBC median survival = 4.75 years vs. non-IBC = 13.4 years, p < 0.0001). Residing in a lower SEP, non-metro county significantly worsens BCS survival for non-IBC in multivariate proportional hazards models. African American cases appear to have worse survival than non-Hispanic Whites regardless of inflammatory status, stage, county-level SEP, tumor, or treatment characteristics. This is the first study to examine IBC survival by SEP in a nation-wide population-based tumor registry. As this analysis found generally poorer survival for IBC, regardless of SEP or race/ethnicity, it is important that interventions that help educate women on IBC symptoms target women in various SEP and race/ethnicity groups.
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            Socioeconomic position
            Epidemiology
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            Oncology
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