Identification of Main Patterns in The Incidence of Gynecological Cancers Amongst the Provinces in Iran

Q4 Medicine
Nafiseh Taei, H. Raeisi Shahraki
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引用次数: 1

Abstract

Introduction: Study of cancer incidence trends can provide better insight for decision-making and considering necessary interventions. The current study was focused on investigating the main patterns in the incidence of gynecological cancers among the provinces of Iran during the last decades. Methods: We carried out an applied longitudinal study through the growth mixture model (GMM), with a concentration on the trajectory of incidence rates. Information about the rate of gynecological cancer incidence (per 100,000) in 31 provinces of Iran during the 1990-2016 period was extracted from the Data Visualization System. Taking into account the p-value of the likelihood ratio test (LRT), the number of main patterns was estimated by Mplus 7.4 software. Results: Tehran province with the incidence of 2.00 per 100,000 was in the first rank in 1990, while in 2016 the highest rate was observed in Yazd province with 9.38 cases. Five main patterns were determined based on LRT. Tehran and Yazd provinces showed the sharpest rise, while Khuzestan, Fars, Esfahan, Semnan, East Azerbaijan, Razavi Khorasan, and Mazandaran provinces belonged to the pattern with a moderate-to-highrising trend. 10 provinces including Kerman, Kurdistan, Gilan, Lorestan, Alborz, Hamedan, Kermanshah, Markazi, Ardabil, and West Azerbaijan were on the other hand categorized in the moderate-rising trend. Sistan and Baluchestan and Hormozgan provinces had a slow-rising pattern, and finally, the remaining 10 provinces had the pattern with a slow-to-moderate upward trajectory. Conclusion: Due to the considerable rising trend in most provinces in Iran, taking urgent and effective preventive actions seems necessary
伊朗各省妇科癌症发病率的主要模式鉴定
简介:对癌症发病趋势的研究可以为决策和考虑必要的干预措施提供更好的见解。目前的研究重点是调查过去几十年伊朗各省妇科癌症发病率的主要模式。方法:我们通过生长混合模型(GMM)进行了一项应用纵向研究,重点研究了发病率的轨迹。从数据可视化系统中提取了1990-2016年期间伊朗31个省的妇科癌症发病率(每100000人)信息。考虑到似然比检验(LRT)的p值,主要模式的数量由Mplus 7.4软件估计。结果:1990年,德黑兰省的发病率为每100000人2.00例,位居第一,而2016年,亚兹德省发病率最高,为9.38例。基于LRT确定了五种主要模式。德黑兰省和亚兹德省涨幅最大,胡齐斯坦省、法尔斯省、伊斯法罕省、塞姆南省、东阿塞拜疆省、拉扎维呼罗珊省和马赞达兰省属于中高趋势。克尔曼省、库尔德斯坦省、吉兰省、洛雷斯坦省、阿尔布尔茨省、哈梅丹省、克尔曼沙省、马尔卡齐省、阿尔达比尔省和西阿塞拜疆省等10个省则属于温和上升趋势。锡斯坦省、俾路支省和霍尔莫兹甘省呈缓慢上升模式,最后,其余10个省呈缓慢至中等上升轨迹。结论:由于伊朗大多数省份的人口呈显著上升趋势,采取紧急有效的预防行动似乎是必要的
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来源期刊
CiteScore
0.80
自引率
0.00%
发文量
26
审稿时长
12 weeks
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