Demographic and Pathological Predictors of Colorectal Cancer Survival in Competing Risk Model, Using Generalized Weibull Distribution

Abstract

Objectives: To investigate the prognosis factors of survival in patients with colorectal cancer in presence of competing risks, using generalized Weibull distribution, and to compare the results of Weibull model as well as semi parametric models. Methods:A total of 1462 patients with colorectal cancer, registered in cancer registry center of research institute of gastroenterology and liver disease (from 2004 to 2015), Taleghani hospital, Tehran, Iran entered this study. Death and the causes of death were confirmed via telephone contact to patients' families. The demographic and clinical features included age at diagnosis, sex, family history of CRC, body mass index (BMI), tumor size and tumor site extracted from hospital documents. Generalized Weibull distribution, Cox regression analysis and Fine-Gary model were used to assess the prognosis of CRC survival. The analysis was carried out using R software version 3.0.2. P value less than 0.05 were considered significant. Results:Overall, 1060 CRC patients with completed data were included in the analysis. 58% were men and the mean ± SD of age at diagnosis was 53.67 ± 0.46 years. The mean ± SD of survival time was 56.96 ± 1.46 with median = 45.5 months. 380 patients (35.5%) died from CRC and 49 patients (4.6%) died from other causes of death, such as myocardial infarction, stomach cancer, liver cancer etc. Generalized Weibull model with competing risk analysis and other models indicated age and BMI as the prognosis. Conclusions:This study indicated age and BMI as the prognosis, using a generalized Weibull model with competing risk analysis. Also according to the survival curve estimation, generalized Weibull model with competing risk has a better fit to the data, compared to Weibull model.

Post‐diagnosis adiposity and colorectal cancer prognosis: A Global Cancer Update Programme (CUP Global) systematic literature review and meta‐analysis

“…Finally, 85 publications 10,30–37,41,42,238–311 of 124 studies were included in the present review. A total of 96 studies (53 publications) were on BMI and all‐cause mortality, 10,30–36,41,42,238–244,246,252,253,255,257,259,261,263,265–270,274,276–280,282–285,287,290,292,295,296,299,300,302,303,307,308,310 20 studies (19 publications) on BMI and colorectal cancer‐specific mortality, 30,36,37,41,238,240–242,245,253,260,265,271,281,289,294,295,304,306 and 72 studies (30 publications) on BMI and colorectal cancer recurrence/disease‐free survival …”

“…Geographically, 24 publications were from Europe, 10,33,35,42,243,253,266,268,272,276–279,282,284,291,293,296–298,303,308,310,311 20 from North America, 30–32,34,37,41,238,240,244,249,250,254,265,274,283,285,287,288,301,309 19 from East or Southeast Asia, 36,239,241,246,247,251,252,256,258,262,264,269,280,290,294,295,302,305,307 four from Australia/New Zealand, 242,255,299,300 and 18 from mixed geographic locations 248,257,259,273,275 or elsewhere 245,260,261,263,267,270,271,281,286,289,292,304,306 . Most publications ( n = 54) involved cancer survivors of any stage, 10,30,33,35,36,41,42,238,239,241–245,247,248,250,252,253,256,260,261,263,266–268,270,271,274,277,279,281–284,286,288–290,292–294,296,298,300,302–308,310,311 28 of which also included metastatic cancer survivors (median = 19.6%, range = 6%–58.9%; seven publications did not report % metastatic); 8 included stage II–III, 31,32,37,240,258,259,275,280 9 included stage III or locally advanced…”

Survival Rate of Colorectal Cancer in Eastern Mediterranean Region Countries: A Systematic Review and Meta-Analysis

“…More specifically, the present review included studies published between 2000 and 2018. Based on geographical location, 29 studies were from Iran, 28 -56 4 study from Saudi Arabia, 57 -60 3 from Oman, 61 -63 2 from Jordan, 64,65 1 from Libya, 66 1 from Kuwait, 67 1 from Lebanon, 68 1 from Pakistan 69 and 1 was from United Arab Emirates. 70 The characteristics of the studies are illustrated in Table 1.…”

Prognostic Factors for the Long-Term Survival after Hematopoietic Stem Cell Transplantation in Patients with Hodgkin Lymphoma

“…There have been numerous studies on survival monitoring in various types of cancer. For instance, the following studies By Moamer et al, 2017 ;Baghestani et al, 2017 applied novel statistical models to analyze the survival of colorectal cancer. HSCT is a well-established approach to the treatment of patients with relapsed/refractory Hodgkin lymphoma, and reliable risk factors are still needed for them.…”