期刊
WORLD JOURNAL OF SURGICAL ONCOLOGY
卷 16, 期 -, 页码 -出版社
BMC
DOI: 10.1186/s12957-018-1429-z
关键词
Cancer prevalence; Pakistan; Population heterogeneity; Cancer registry; Cancer incidence; Colorectal cancer; Gastric cancer; Oral cancer; Prostate cancer; Breast cancer
Background: Pakistan's population is ethnically diverse with distinct ethnic groups inhabiting various parts of the country. Cancer statistics obtained from specific regions populated by distinct ethnic groups may vary considerably. There is no national cancer registry. To determine whether there are indeed significant statistical differences in cancer incidence and prevalence, data was recorded from different parts of Pakistan based on the ethnic composition of the population in those parts. Methods: Ten papers (original articles) on cancer incidence and prevalence in Pakistan published in the last two decades were selected from PubMed and Google Scholar. Meta-analysis of findings of these studies was performed using Meta-analysis of Observational Studies in Epidemiology (MOOSE) checklist chi(2)-based I-2 test was used for evaluating heterogeneity and Forest plots were generated for calculating unadjusted prevalence estimates. Oral, gastric, prostate, breast, and colorectal cancers were selected for meta-analysis. I-2 values of 75% or greater indicated high heterogeneity. Results: All five types of cancer selected for meta-analysis (performed on studies carrying similar statistical weights) showed extremely high heterogeneity with I-2 values of 99.7% for oral cancer, 98.6% for prostate cancer, 983% for gastric cancer, 99.8% for breast cancer, and 85.4% for colorectal cancer. p values for all cancers were highly statistically significant. Conclusions: Our findings show that the prevalence rates of different cancer types demonstrate marked variation in different studies depending on the place of origin of the study and dominant ethnic group in that region, and these variations are highly statistically significant A national cancer registry needs to be established as soon as possible.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据