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
  • [41] Comparison between male and female breast cancer survival using propensity score matching analysis
    Serena Scomersi
    Fabiola Giudici
    Giuseppe Cacciatore
    Pasquale Losurdo
    Stefano Fracon
    Sara Cortinovis
    Rita Ceccherini
    Fabrizio Zanconati
    Maura Tonutti
    Marina Bortul
    [J]. Scientific Reports, 11
  • [42] Tissue-Infiltrating Lymphocytes as a Predictive Factor for Recurrence in Patients with Curatively Resected Colon Cancer: A Propensity Score Matching Analysis
    Chan, Lin Fung
    Sadahiro, Sotaro
    Suzuki, Toshiyuki
    Okada, Kazutake
    Miyakita, Hiroshi
    Yamamoto, Seiichiro
    Kajiwara, Hiroshi
    [J]. ONCOLOGY, 2020, 98 (10) : 680 - 688
  • [43] Impact of gender on survival in patients with laryngeal squamous cell carcinoma: a propensity score matching analysis
    Wang, Na
    Lv, Hong
    Huang, Ming
    [J]. INTERNATIONAL JOURNAL OF CLINICAL AND EXPERIMENTAL PATHOLOGY, 2020, 13 (03): : 573 - 581
  • [44] Postoperative survival analysis of hepatocellular carcinoma patients with liver cirrhosis based on propensity score matching
    Wu, Zhaoqin
    Tang, Haodong
    Wang, Lishan
    Jin, Xiaoling
    Lei, Zhengqing
    Yang, Pinghua
    Zhou, Jiahua
    [J]. BMC SURGERY, 2022, 22 (01)
  • [45] Postoperative survival analysis of hepatocellular carcinoma patients with liver cirrhosis based on propensity score matching
    Zhaoqin Wu
    Haodong Tang
    Lishan Wang
    Xiaoling Jin
    Zhengqing Lei
    Pinghua Yang
    Jiahua Zhou
    [J]. BMC Surgery, 22
  • [46] Vitamin D Status in Palindromic Rheumatism: A Propensity Score Matching Analysis
    Khabbazi, Alireza
    Mahmoudi, Maryam
    Esalatmanesh, Kamal
    Asgari-Sabet, Masoomeh
    Safary, Azam
    [J]. LABORATORY MEDICINE, 2024, 55 (01) : 45 - 49
  • [47] The effect of payer status on early stage laryngeal cancer survival
    Master, Samip R.
    Zhang, Peter
    Mills, Glenn
    Shi, Runhua
    [J]. CANCER RESEARCH, 2016, 76
  • [48] Marital status impacts survival of stage I non-small-cell lung cancer: a propensity-score matching analysis
    Qiu, Li-Hong
    Song, Jia-Qi
    Jiang, Feng
    Zhao, Yuan-Yuan
    Liu, Yu'e
    Wu, Lei-Lei
    Ma, Guo-Wei
    [J]. FUTURE SCIENCE OA, 2023, 10 (01):
  • [49] Association between length of stay and postoperative survival in patients with lung cancer: a propensity score matching analysis based on National Cancer Database
    Kong, Weicheng
    Wang, Haoran
    Chen, Yanyan
    Xie, Juntao
    Huang, Binhao
    Fang, Liang
    Chen, Wenjuan
    Shao, Wei
    Zhang, Jie
    [J]. JOURNAL OF THORACIC DISEASE, 2023, 15 (04) : 1785 - 1793
  • [50] The Effect of Complications on Oncological Outcomes of Colorectal Cancer Patients After Primary Surgery: A Propensity Score Matching Analysis
    Liu, Xiao-Yu
    Zhang, Bin
    Kang, Bing
    Cheng, Yu-Xi
    Yuan, Chao
    Tao, Wei
    Wei, Zheng-Qiang
    Peng, Dong
    [J]. FRONTIERS IN ONCOLOGY, 2022, 12