Propensity Score Matching Analysis of the Effect of Payer Status on the Survival of Colon Cancer Patients

被引:1
|
作者
Shi, Lawrence [1 ]
Suh, Winston [2 ,3 ]
Kavanaugh, Mindie M. [2 ,3 ]
Mills, Glenn [2 ,3 ]
Thayer, Sarah [3 ,4 ]
Shi, Runhua [2 ,3 ]
机构
[1] Tulane Univ, Hematol Oncol, New Orleans, LA USA
[2] Louisiana State Univ Hlth Shreveport, Dept Med, Hematol Oncol, Shreveport, LA 71103 USA
[3] Louisiana State Univ Hlth Shreveport, Feist Weiller Canc Ctr, Shreveport, LA 71103 USA
[4] Louisiana State Univ Hlth Shreveport, Surg Oncol, Dept Med, Shreveport, LA USA
关键词
payer status; colon cancer; retrospective study; healthcare insurance; propensity score matching (psm); HEALTH-CARE REFORM; RACIAL DISPARITIES; INSURANCE STATUS; BREAST; IMPACT; ASSOCIATION; DIAGNOSIS; OUTCOMES; LUNG; NATION;
D O I
10.7759/cureus.15748
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background and objective Colon cancer is one of the most common types of cancer globally. The factors that could affect colon cancer survival include age, stage, treatment, and other socioeconomic aspects. Payer status has been shown to be a significant predictor of cancer patient survival in retrospective studies. However, due to the limitations of retrospective studies, patient baseline characteristics between payer statuses are not comparable. Few studies have addressed the effect of payer status on the overall survival (OS) of patients using propensity score matching (PSM). In light of this, we conducted a study to examine the effect of payer status on the survival of colon cancer patients based on PSM. Materials and methods About 66,493 stage II/III colon cancer patients aged 40-90 years and diagnosed between 2004 and 2015 were analyzed from a de-identified National Cancer Database (NCDB) file. All patients had undergone surgery, and patients who had received radiation therapy, hormone therapy, immunotherapy, palliative care, or therapies other than chemotherapy were excluded. Only private or Medicaid payer status was included. The propensity score was calculated by computing the probability of patients being in the Medicaid group using logistic regression. The PSMATCH procedure in the SAS software (SAS Inc., Gary, NC) was used to perform PSM on patients with Medicaid and private insurance. The greedy nearest neighbor matching method was used to match one Medicaid to one privately insured patient with a caliper of 0.2. At the same time, an exact match was done for gender, age group, race, and stage at diagnosis. Multivariate Cox regression was then used to estimate the effect of payer status on survival before and after PSM. Results Among the 66,493 patients, 90.3% were privately insured and 9.7% had Medicaid. In univariate analysis, payer status was found to be a significant predictor of OS. Prior to PSM, the median overall survival (MOS) for patients with private insurance was 12.75 years, while those with Medicaid had a MOS of 9.02 years. After PSM, 6,167 paired patients were matched, and patients with private insurance had a MOS of >12.82 years and Medicaid patients had a MOS of 8.88 years. After PSM, patients with Medicaid had a 50% increased risk of death, and payer status proved to be a statistically significant predictor of OS of colon cancer. Conclusion Based on our findings, as per the PSM method, payer status can be a significant predictor of survival among colon cancer patients. Also, chemotherapy, race, age, and other socioeconomic factors were also found to be significant predictors of OS. Further research should be conducted to investigate other covariates not studied here and the mediation effect of payer on the survival of cancer patients.
引用
收藏
页数:10
相关论文
共 50 条
  • [1] Propensity score matching analysis of payer status's effect on the survival of colon cancer patients
    Shi, Runhua
    Shi, Lawrence
    Mills, Glenn
    [J]. CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION, 2020, 29 (06)
  • [2] Chemotherapy exacerbates the survival paradox of colon cancer: a propensity score matching analysis
    Tian, Mengxiang
    Zhou, Zhongyi
    [J]. TRANSLATIONAL CANCER RESEARCH, 2022, 11 (12) : 4241 - 4253
  • [3] Effect of sidedness on survival among patients with early-stage colon cancer: a SEER-based propensity score matching analysis
    Huang, Zhuang-Sheng
    Wu, Jun-Wei
    Li, Ying
    Lin, Yu-Hai
    Li, Xu-Yuan
    [J]. WORLD JOURNAL OF SURGICAL ONCOLOGY, 2021, 19 (01)
  • [4] Effect of sidedness on survival among patients with early-stage colon cancer: a SEER-based propensity score matching analysis
    Zhuang-Sheng Huang
    Jun-Wei Wu
    Ying Li
    Yu-Hai Lin
    Xu-Yuan Li
    [J]. World Journal of Surgical Oncology, 19
  • [5] A study on the impact of marital status on the survival status of prostate cancer patients based on propensity score matching
    Qingquan Chen
    Xi Zhu
    Yiming Hu
    Yao Chen
    Rongrong Dai
    Jiaxin Li
    Jiajing Zhuang
    Yifei Lin
    Yifu Zeng
    Liuxia You
    Yanyu Zeng
    Qian Huang
    [J]. Scientific Reports, 14
  • [6] A study on the impact of marital status on the survival status of prostate cancer patients based on propensity score matching
    Chen, Qingquan
    Zhu, Xi
    Hu, Yiming
    Chen, Yao
    Dai, Rongrong
    Li, Jiaxin
    Zhuang, Jiajing
    Lin, Yifei
    Zeng, Yifu
    You, Liuxia
    Zeng, Yanyu
    Huang, Qian
    [J]. SCIENTIFIC REPORTS, 2024, 14 (01)
  • [7] Effect of temozolomide on survival in elderly patients with glioblastoma and impaired performance status: a propensity score-matching analysis
    Liu, Yong-Liang
    Liu, Peng-Fei
    Shao, Wei
    Du, Hong-Peng
    Li, Zhen-Zhu
    Guo, Chong
    Li, Ze-Fu
    [J]. ONCOTARGETS AND THERAPY, 2017, 10 : 4029 - 4035
  • [8] Postoperative adjuvant chemotherapy improves survival in stage II colon cancer? A propensity score matching analysis
    Tsukamoto, Ryoichi
    Sugimoto, Kiichi
    Kawano, Shingo
    Niwa, Koichiro
    Ishiyama, Shun
    Kamiyama, Hirohiko
    Komiyama, Hiromitsu
    Takahashi, Makoto
    Kojima, Yutaka
    Goto, Michitoshi
    Tomiki, Yuichi
    Sakamoto, Kazuhiro
    [J]. CANCER RESEARCH, 2017, 77
  • [9] The Effect of Payer Status on Survival of Patients With Prostate Cancer
    Suh, Winston
    Master, Samip
    Liu, Lihong
    Mills, Glenn
    Shi, Runhua
    [J]. CUREUS JOURNAL OF MEDICAL SCIENCE, 2021, 13 (02)
  • [10] Effect of intraoperative needle biopsy on the survival of nonsmall cell lung cancer patients: a propensity score matching analysis
    Mizuki Morota
    Masaaki Nagano
    Naohiro Ijiri
    Nobuyuki Yoshiyasu
    Yoshikazu Shinohara
    Yuya Nobori
    Hirokazu Yamaguchi
    Shun Kawashima
    Masahiro Yanagiya
    Chihiro Konoeda
    Kentaro Kitano
    Masaaki Sato
    Jun Nakajima
    [J]. Surgery Today, 2022, 52 : 1497 - 1503