未经评估:巴西,俄罗斯,印度,中国,南非,和其他30个亚洲国家组成了金砖国家,一组发展中国家,占世界人口的一半左右,对全球疾病负担做出了重要贡献。这项研究旨在分析1990年至2019年金砖四国女性乳腺癌(BC)的流行病学负担,并研究其与年龄的关系。period,出生队列和国家/地区社会人口统计学指数(SDI)。
未经评估:BC死亡率和发病率估计值来自2019年全球疾病负担研究。我们使用年龄期队列(APC)模型估计了1990年至2019年之间BC结局的队列和时期效应。基于自然样条函数的APC模型Poisson与log(Y)的最大似然(ML)用于估计速率比(RR)。我们使用年化变化率(AROC)来量化过去30年在金砖四国的变化,并将其与全球进行比较。
UNASSIGNED:2019年,全球约有198万女性BC病例(年龄标准化率为45.86[95%UI:41.91,49.76])和69万死亡(年龄标准化率为15.88[95%UI:14.66,17.07])。其中,45.4%的事件病例和51.3%的死亡病例归因于金砖四国。中国(41.1%的病例和26.5%的死亡)和印度(16.1%的病例和23.1%的死亡)在2019年金砖国家中的事故病例和死亡比例最高。巴基斯坦以5.6%的病例和8.8%的死亡人数排名第三。在过去的三十年里,从1990年到2019年,金砖四国最大的AROC出现在莱索托(2.61%;95%UI:1.99-2.99)。出生队列对不列颠哥伦比亚省的影响在金砖国家之间差异很大。总的来说,所有金砖国家的病死率风险趋于下降,特别是在南亚区域合作联盟(SAARC)和中国-东盟自由贸易区(中国-东盟自由贸易区)国家,在最近的队列中,风险下降在中国和马尔代夫最低。此外,在1990年和2019年的金砖四国中,SDI与病死率之间存在显著负相关(r1990=-0.91,p<0.001;r2019=-0.89,p<0.001),欧亚经济联盟(EEU)国家病死率最高.
UNASSIGNED:不列颠哥伦比亚省的负担在金砖四国的不同地区之间差异很大。尽管金砖国家监管不列颠哥伦比亚省的努力取得了成功,总体改善落后于高收入亚太国家。每个金砖国家都应加强针对不同优先群体的具体公共卫生方法和政策,根据金砖四国和其他高负担国家的说法。
UNASSIGNED: Brazil, Russia, India, China, South Africa, and 30 other Asian nations make up the BRICS-Plus, a group of developing countries that account for about half of the world\'s population and contribute significantly to the global illness burden. This study aimed to analyzed the epidemiological burden of female breast cancer (BC) across the BRICS-Plus from 1990 to 2019 and studied the associations with age, period, birth cohort and countries\' sociodemographic index (SDI).
UNASSIGNED: The BC mortality and incidence estimates came from the 2019 Global Burden of Disease Study. We estimated cohort and period effects in BC outcomes between 1990 and 2019 using age-period-cohort (APC) modeling. The maximum likelihood (ML) of the APC-model Poisson with log (Y) based on the natural-spline function was used to estimate the rate ratio (RR). We used annualized rate of change (AROC) to quantify change over the previous 30 years in BC across BRICS-Plus and compare it to the global.
UNASSIGNED: In 2019, there were about 1.98 million female BC cases (age-standardized rate of 45.86 [95% UI: 41.91, 49.76]) and 0.69 million deaths (age-standardized rate of 15.88 [95% UI: 14.66, 17.07]) around the globe. Among them, 45.4% of incident cases and 51.3% of deaths were attributed to the BRICS-Plus. China (41.1% cases and 26.5% deaths) and India (16.1% cases and 23.1% deaths) had the largest proportion of incident cases and deaths among the BRICS-Plus nations in 2019. Pakistan came in third with 5.6% cases and 8.8% deaths. Over the past three decades, from 1990 to 2019, the BRICS-Plus region\'s greatest AROC was seen in Lesotho (2.61%; 95%UI: 1.99-2.99). The birth cohort impacts on BC vary significantly among the BRICS-Plus nations. Overall, the risk of case-fatality rate tended to decline in all BRICS-Plus nations, notably in South Asian Association for Regional Cooperation (SAARC) and China-ASEAN Free Trade Area (China-ASEAN FTA) countries, and the drop in risk in the most recent cohort was lowest in China and the Maldives. Additionally, there was a substantial negative link between SDI and case fatality rate (r1990= -0.91, p<0.001; r2019= -0.89, p<0.001) in the BRICS-Plus in both 1990 and 2019, with the Eurasian Economic Union (EEU) nations having the highest case fatality rate.
UNASSIGNED: The BC burden varies remarkably between different BRICS-Plus regions. Although the BRICS\' efforts to regulate BC succeeded, the overall improvements lagged behind those in high-income Asia-Pacific nations. Every BRICS-Plus country should strengthen specific public health approaches and policies directed at different priority groups, according to BRIC-Plus and other high-burden nations.