Under Estimation and Over Estimation in Gastric Cancer Incidence Registry in Khorasan Provinces

  • سال انتشار: 1394
  • محل انتشار: اولین سمپوزیوم بین المللی سرطان نسترن
  • کد COI اختصاصی: NASTARANCANSER01_017
  • زبان مقاله: انگلیسی
  • تعداد مشاهده: 746
دانلود فایل این مقاله

نویسندگان

Nastaran Hajizadeh

Department of Biostatistics, Shahid Beheshti University of Medical Sciences, Tehran, Iran

Mohammad Amin Pourhoseingholi

Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, ShahidBeheshti University of Medical Sciences, Tehran, Iran

Ahmadreza Baghestani

Department of Biostatistics, Shahid Beheshti University of Medical Sciences, Tehran, Iran

Alireza Abadi

Department of Biostatistics, Shahid Beheshti University of Medical Sciences, Tehran, Iran

چکیده

Gastric cancer is a disease which the cells forming the inner lining of the stomach start to divideuncontrollably, forming a mass called a tumor. Patients with gastric cancer from low- facilityprovinces like North and South Khorasans may diagnose and registered in full- featuredprovinces like Razavi-Khorasan; this causes misclassification error. The presence of this errormakes the registry systems inaccurate and unreliable for estimating the burden of cancer andpolicy making. Two approaches are recommended for reducing the effects of misclassification;the first is using a small validation sample and the second is a Bayesian analysis which providessubjective prior information for the subset of the parameters to correct the statistics. Data for thisstudy extracted from Iranian annual of national cancer registration report in 2008. The agestandardized rate due to gastric cancer [ICD-10; C16] were expressed as rate per/100,000population for male and female of North, South and Razavi Khorasans. To correct themisclassification effect, a Bayesian approach was used with Poisson count regression and betaprior. The reported expected coverage of cancer incidence for Razavi-Khorasan was 155.5% andexceeds than what expected, whereas the North and South Khorasans have just observedrespectively 34.8% and 41.4% of their expected coverage. The results of the Bayesian analysisindicated that there was about 34% misclassification in gastric cancer incidence registry fromNorth and South Khorasans in Razavi-Khorasan. In planning for resource allocation, authoritiesshould consider that, low incidence of gastric cancer in North and South Khorasans, may be theeffect of misclassification and it is needed to allocate them more health facilities and improve theiraddress registration accuracy using National ID, electric bill, etc.

کلیدواژه ها

Gastric Cancer, Misclassification Error, Bayesian Method, Incidence, Cancer Registry

مقالات مرتبط جدید

اطلاعات بیشتر در مورد COI

COI مخفف عبارت CIVILICA Object Identifier به معنی شناسه سیویلیکا برای اسناد است. COI کدی است که مطابق محل انتشار، به مقالات کنفرانسها و ژورنالهای داخل کشور به هنگام نمایه سازی بر روی پایگاه استنادی سیویلیکا اختصاص می یابد.

کد COI به مفهوم کد ملی اسناد نمایه شده در سیویلیکا است و کدی یکتا و ثابت است و به همین دلیل همواره قابلیت استناد و پیگیری دارد.