scholarly journals SURVEY OF BREAST CANCER IN WASIT PROVINCE , IRAQ

2019 ◽  
Vol 1 (2) ◽  
pp. 33-38
Keyword(s):  
Breast Cancer ◽  
Data Base ◽  
Causes Of Death ◽  
Common Type ◽  
Age Group ◽  
Cancer Data ◽  
Common Causes ◽  
Total Cancer ◽  
And Gender ◽  
The Relationship

Introduction: Cancer is one of the most common causes of death among females. In our research, cancer data were collected in Wasit Governorate for patients who were referred to Al-Zahra Educational Hospital for the period From February 2010 to February 2019. The results showed that breast cancer is the most common type of cancer in Wasit governorate and by percentage (35.4%) with 341 out of 966 cases of cancer. Methods: Data were collected from data base between the year (2010 to 2019), with the highest rate of cases in 2013, which isaround 139 cases , of these cases around 71 were breast cancer (51.07% recurrence). Surprisingly the lowest cases were recorded in a year after (2014) with total cancer cases of 65 from them 21 cases of breast cancer only. Results: About the relationship between breast cancer and gender, breast cancer recorded 95.60% of the cases in females, while percentage of men cases only 4.39%. Conclusion: The higher percentage of the cases were around 40- 49 years old , 92 cases (27%) , 80 cases (23.5%) were in the age group (50-59 years) and 65cases (19%) were in the age group (30-39 years) and 51 cases (15%) were in the age group (60-69 years) ). The lowest percentage of breast cancer was in the 10-19 age group, with only two cases (0.5%).

Suicidal Death Autopsy Analysis at Dhaka Medical College

1970 ◽  
Vol 40 (1) ◽  
pp. 18-21 ◽  
Author(s):  
MN Hossain ◽  
Z Rahman ◽  
S Akhter
Keyword(s):  
Forensic Medicine ◽  
Causes Of Death ◽  
Cross Sectional Study ◽  
Age Group ◽  
Sectional Study ◽  
Cross Sectional ◽  
Medical College ◽  
Autopsy Report ◽  
Common Causes ◽  
Suicidal Death

A cross sectional study was carried out at the department of Forensic Medicine in Dhaka Medical College during the period of January 2008 to December 2009. Data were collected from 3rd copy of the post mortem reports which were preserved in the department of Forensic Medicine with the verbal consent of the doctors who performed autopsy report. During this period total 5114 autopsies were conducted. Out of this 970 cases (19%) were suicidal in nature. It was noticed that all suicidal deaths occurred from 10 years to all age group respectively, but top amongst age group of suicidal deaths occurred in between 21 to 30 years of people. Suicidal deaths are more common in female than male. Suicidal deaths due to hanging is highest, next common causes of death due to organophosphorus compund poisoning. Suicidal deaths by hanging is more in female than male but in poisoning cases male are more lvictimised than female. Objectives of our study are to see the occurrence and methods of suicidal death. DOI: http://dx.doi.org/10.3329/bmj.v40i1.9957 BMJ 2011; 40(1): 18-21

scholarly journals The national cancer data base report on breast cancer

Cancer ◽  
1994 ◽  
Vol 73 (7) ◽  
pp. 1994-2000 ◽  
Author(s):  
Robert T. Osteen ◽  
Lucy Hynds Karnell
Keyword(s):  
Breast Cancer ◽  
Data Base ◽  
National Cancer Data Base ◽  
Cancer Data

scholarly journals Evaluation of risk factors in patients with breast cancer in stages III and IV: comparison of Cox and Fine-Grey competing risk regression models

2018 ◽  
Vol 5 (02) ◽  
pp. 2022-2033
Author(s):  
Monireh Dehghani Arani ◽  
Alireza Abadi ◽  
Aarvin Yavari ◽  
Yousef Bashiri ◽  
Liley Mahmudi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cox Regression ◽  
Cox Model ◽  
Parametric Model ◽  
Hazard Ratio ◽  
Competing Risk ◽  
Age Group ◽  
Risk Models ◽  
Cancer Data ◽  
Competing Risk Models

Introduction: The aim of this study is to fit Fine-Grey competing risk model and compare its results with stratified Cox model and to examine its application in breast cancer data. Methods: The study was conducted on 15830 women diagnosed with breast cancer in British Columbia, Canada. They were divided into four groups according to patients' stage of disease then for patients with stage III and IV breast cancer was fitted Cox's model and Fine-Grey competing risk flexible models to each group. Results: The data show that Out of 1888 patients, 578 lied in the age group of below 50 years old, while 1310 were above 50 years of age. The results obtained from fitting stratified Cox regression model indicate that the variables of age and surgery are significant. The patients in the age group of below 50 years old have 70% less hazard in comparison with people older than 50 years of age (HR=0.83). Further, the patients receiving surgery have 38% less hazard in comparison with the patients not receiving surgery (HR=0.62). Then we fit Fine-Grey competing risk models. the variable of chemotherapy is significant in both parametric and semi-parametric competing risk models, and its hazard ratio is HR=1.15 and HR=1.14 in the two models, respectively. On the other hand, the variable of age has not become significant in any of the models, and its hazard ratio is HR=0.92 and HR=0.93, respectively. The variable of surgery in the competing risk parametric model is significant with an HR of 0.67. In Cox model, the variable of surgery is also significant with HR=0.62. Moreover, the variable of age in the competing risk parametric model has not become significant (HR=0.92), and in contrast the variable of age in the Cox model is significant (HR=0.83). Conclusion: The results of this study show that Considering the comparison of the two models, it is observed that regardless of the properties of competing risk data, estimations of hazard ratio and the extent of significance resulting from Cox models are different from those of competing risk models.   

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