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哈萨克斯坦乳腺癌的功能时间序列研究

Study on Breast Cancer in Kazakhstan Using the Functional Time Series.

机构信息

S.D. Asfendiyarov Kazakh National Medical University, Almaty, Republic of Kazakhstan.

Al-Farabi Kazakh National l University, Almaty, Republic of Kazakhstan.

出版信息

Asian Pac J Cancer Prev. 2023 Mar 1;24(3):1037-1046. doi: 10.31557/APJCP.2023.24.3.1037.

Abstract

AIM

In Kazakhstan and Central Asia, breast cancer (BC) is the most common malignancy among women. However, no large-scale study on breast cancer using the functional time series approach has been carried out in Kazakhstan.

METHODS

A functional assessment of the age-period-cohort model (APC) and the survival rate (period 2017-2021) was used in the retrospective study. Clinical and demographic information on patients was analysed, including age, gender, region of residence, kind and stage of tumour, occupation, socioeconomic standing, nationality, and specifics of treatment and its outcomes. Additionally, the relationship between nationality, stage, and residency region and the survival rate of breast cancer patients was investigated too.

RESULTS

The data of n=22,736 breast cancer patients were analysed. The highest number of breast cancer cases reported was 4,945 (21.7%), in 2019. In 2021, n =4,939 (21.7%) cases were detected, while in 2020, n=4,222 (18.6%) cases were observed. The patients with breast cancer in stages I and Ia were recognized in 6,585 (29% of cases), while those in stages Ib and Ic were confirmed in 8687 (38.2% of cases). In n=10,147 (44.6%) cases, a malignant tumour of the upper outer quadrant of the breast (C50.4) was predominant. Kazakhs made up the majority (n=10,939, 48.1%) of patients with a primary validated diagnosis of breast cancer, followed by Russians (n=7527, 33.1%). Germans had the lowest survival rate overall (11.4 ± 1.7 months) (p ≤ 0.05) (95% CI: 8.0-14.7 months). Uzbeks showed relatively high survival rates of 18.3 ± 1.6 months (95% CI: 15.1-21.5 months) (p ≤ 0.05). The Aktobe region had the lowest breast cancer survival rates, measuring 12.1±0.9 months (95% CI: 10.3-13.9 months) (p ≤ 0.05). The highest survival rates, 18.0±1.3 months (95% CI: 15.5-20.5 months) and 17.9±1.4 months (95% CI: 15.3-20.7 months), were seen in Shymkent and Zhambyl regions (p ≤ 0.05), respectively. The prevalence of breast cancer increases after 37.5 years, according to the results of the APC analysis, with an indicator of 0.572 (95% CI: -0.41 - 1.56), maintaining a steady upward trend in the age range from 42.5 years to 62.5 years.

CONCLUSIONS

Despite a slight drop in the disease's frequency, the incidence of breast cancer in women 37.5 years and older has been stable over the past five years. Additionally, it was shown that the country's northern regions had a higher incidence of breast cancer cases than the southern and western regions. Our results show the significance of demographic characteristics such as age and location for the development of preventive measures and effective treatment.

摘要

目的

在哈萨克斯坦和中亚地区,乳腺癌是女性中最常见的恶性肿瘤。然而,在哈萨克斯坦还没有使用功能时间序列方法对乳腺癌进行的大规模研究。

方法

本回顾性研究采用了功能评估的年龄-时期-队列模型(APC)和生存率(时期 2017-2021 年)。分析了患者的临床和人口统计学信息,包括年龄、性别、居住地区、肿瘤类型和分期、职业、社会经济地位、国籍以及治疗及其结果的具体情况。此外,还研究了国籍、分期和居住地区与乳腺癌患者生存率之间的关系。

结果

分析了 n=22736 例乳腺癌患者的数据。报告的乳腺癌病例数最多的是 2019 年的 4945 例(21.7%)。2021 年检测到 n=4939 例(21.7%),而 2020 年则观察到 n=4222 例(18.6%)。I 期和 Ia 期的乳腺癌患者被确认有 6585 例(29%的病例),Ib 期和 Ic 期的患者有 8687 例(38.2%的病例)。在 n=10147 例(44.6%)中,乳腺上外象限(C50.4)的恶性肿瘤占主导地位。哈萨克人(n=10939,48.1%)是原发性乳腺癌确诊患者中的大多数,其次是俄罗斯人(n=7527,33.1%)。德国人总体上的生存率最低(11.4 ± 1.7 个月)(p ≤ 0.05)(95%CI:8.0-14.7 个月)。乌兹别克斯坦人表现出相对较高的 18.3 ± 1.6 个月(95%CI:15.1-21.5 个月)(p ≤ 0.05)的生存率。阿克套地区的乳腺癌生存率最低,为 12.1±0.9 个月(95%CI:10.3-13.9 个月)(p ≤ 0.05)。最高的生存率为 18.0±1.3 个月(95%CI:15.5-20.5 个月)和 17.9±1.4 个月(95%CI:15.3-20.7 个月),分别在江布尔州和扎姆比勒州(p ≤ 0.05)。根据 APC 分析的结果,乳腺癌的发病率在 37.5 岁以后增加,指标为 0.572(95%CI:-0.41 - 1.56),42.5 岁至 62.5 岁年龄组的发病率呈稳定上升趋势。

结论

尽管乳腺癌的发病率略有下降,但过去五年 37.5 岁及以上女性的乳腺癌发病率保持稳定。此外,还表明该国北部地区的乳腺癌发病率高于南部和西部地区。我们的研究结果表明,年龄和位置等人口统计学特征对制定预防措施和有效治疗方案具有重要意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24ff/10334077/1f748f9047c4/APJCP-24-1037-g001.jpg

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