We used data on GC incidence in the catchment area of Shiraz Population-Based Cancer Registry (SPBCR) for 2001–2015.
Shiraz Population-Based Cancer Registry (SPBCR) is affiliated with Shiraz University of Medical Sciences. This registry was initiated in 2001 as a pathology-based registry and then improved in 2007 to a population-based system. As in Shiraz, the capital city of the Fars province, the quality, and accessibility of cancer diagnosis and treatment services is much better than the other cities throughout southern Iran, Shiraz is the most known referral center for cancer care in southern Iran. On the other hand, The Shiraz Population-Based Cancer Registry (SPBCR) collects the data on new cancer reports from almost all of the diagnostic and therapeutic centers as well as death registries in the Fars province. SPBCR is the most qualified cancer registry in southern Iran regarding the completeness of case ascertainment, comparability, data quality, and timeliness. (14)
Based on the most recent census, the population of the SPBCR catchment area, i.e. Fars province, is more than 4851000 with a female: male ratio of 1: 1.03. Fars (80%), Turk (10%), and Lor (7.7%) are the most common ethnicities in Fars province. Most (≈ 68%) of its inhabitants are living in urban/suburban areas.(15)
Patient data including age, gender, place of birth and living, date of birth, date of current cancer diagnosis, and date of death are collected, abstracted, and computerized by well-experienced cancer registrars. In addition, topographic and morphological data of the malignancies are abstracted and registered to apply the third edition of the International Classification of Diseases for Oncology (ICD-O-3).
Duplicated cases are identified and removed applying software-based techniques.(16) Multiple primaries are registered as new cases. An adapted version of CanReg5 software is used by SPBCR.
Data Preparation And Analysis
New cancer cases with ICD-O-3 codes of C16.0 to C16.9 were retrieved and prepared. New annual cases were counted for categories defied based on age group (under 25, 25–34, 35–44, 45–54, 55–64, 65–74 and 75 and older), gender (male, female), topography (cardia [ICD-O-3 code: C16.0], non-cardia[ICD-O-3 code: C16.1- C16.5], overlapping lesions [ICD-O-3 code: C16.8], and others), and morphology (adenocarcinoma [ICD-O-3 behavior code: 8140–8574], and others). Patients were also categorized into two additional age groups including younger than 45 and older than 45 years. Cases with missing data were redistributed if applicable.
Crude incidence rates and their 95% confidence intervals (CI) were calculated by dividing the number of new cases by stratum-specific mid-year population. Annual age-standardized incidence rates (ASR) and their 95% CI were also estimated based on the 2000 world population. Incidence data were truncated at 25 (considering a very low number of new cases with an age of younger than 25, and assuming that younger populations are less at risk of GC), and then truncated incidence rates were estimated.
Temporal trends of estimated stratum-specific ASRs were analyzed using joinpoint regression program (release 4.7.0), and annual percentage change (APC) and its 95% CI were estimated for each trend. As the quality of data was stable for years after 2009, we also estimated APCs for trend lines from 2009 to 2015 and considered these estimates as the most plausible APCs to show the current situation of the trend of incidence of GC in southern Iran. A p-value of less than 0.05 was considered statistically significant. Data were prepared and analyzed by using MS office excel, Stata software (release 11, College Station, TX: StataCorp LLC).