Details

Autor(en) / Beteiligte

• Salem, Mohamed E.
• Trufan, Sally Jeanne
• Symanowski, James Thomas
• Kadakia, Kunal C.
• Puccini, Alberto
• Musselwhite, Laura W.
• Graves, Kristi D
• Hartley, Marion L.
• Kim, Edward S.
• Hwang, Jimmy J.
• El-Rayes, Bassel F.

Titel

Impact of socioeconomic status (SES) on colorectal cancer patient survival: An analysis of 890,867 patients in the National Cancer Database (NCDB)

Ist Teil von

• Journal of clinical oncology, 2021-01, Vol.39 (3_suppl), p.19-19

Erscheinungsjahr

2021

Quelle

Free E-Journal (出版社公開部分のみ）

Beschreibungen/Notizen

• Abstract only 19 Background: SES has been associated with outcomes in cancer patients (pts). We examined associations between SES and survival of pts with colorectal cancers (CRC). Methods: The NCDB was used to examine the association of SES status with clinicopathological features and outcomes of colorectal cancer pts, categorized by the income and education level of their area of residence. Logistic regression, Cox proportional hazard model, and chi-square test were used to examine the differences between groups. Results: A retrospective analysis of 890,867 pts with CRC (right-sided 34.1%, transverse 11.9%, left-sided 46.2%, and rectal 7.8%) diagnosed between 2004 and 2016, was conducted. About half the pts were male (51.4%); 84.3% were white, 11.2% black, and 4.5% of other races. Overall, 30.8% of pts lived in the highest and 18.4% in the lowest income areas. Twenty-three percent lived in areas comprising the highest high school graduation rate areas (>93%), while 17.4% lived in the lowest (< 79%). Compared to pts living in high-income areas, pts living in the lowest income areas were more likely to be black (OR 6.2, 6.1-6.3), present at a younger age (18-30 yrs vs. >70 yrs; OR 1.28, 1.18-1.39), have T3/T4 disease at presentation (OR 1.03, 95%CI 1.02-1.04), left-sided tumors (OR 1.05, 1.04-1.06), higher Charlson-Deyo score (OR 1.34, 1.33-1.36), and have Medicaid (OR: 3.9, 3.8-4.0) or no health insurance (OR: 2.9, 2.8-3.0). Tumor location and grade, stage, age, sex, race, ethnicity, income, education, insurance status, Charlson-Deyo score, and type of treatment center were independent predictors for survival in the multivariate analysis. Pts living in the lowest income and lowest education areas had a 13% and 4% higher risk of death, respectively, compared to pts in the highest income areas and education areas. Black pts had a 7% increased risk of death. Pts with Medicaid and no insurance coverage had a 44% and 29% increased risk of death, respectively, compared to pts with private insurance. Conclusions: CRC pts living in areas of low income and low education had worse survival. Insurance status and type of treatment center also have a strong impact on survival. Sociodemographic characteristics need to be taken into account and studied further, with the aim of improving outcomes for all pts. [Table: see text]