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首页> 外文期刊>BMC Cancer >Cannabinoid exposure as a major driver of pediatric acute lymphoid Leukaemia rates across the USA: combined geospatial, multiple imputation and causal inference study
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Cannabinoid exposure as a major driver of pediatric acute lymphoid Leukaemia rates across the USA: combined geospatial, multiple imputation and causal inference study

机译:大麻素接触美国小儿急性淋巴白血病的主要驱动力,包括地理空间,多重归纳和因果推断研究

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Acute lymphoid leukaemia (ALL) is the commonest childhood cancer whose incidence is rising in many nations. In the USA, between 1975 and 2016, ALL rates (ALLRs) rose 93.51% from 1.91 to 3.70/100,000? 20?years. ALL is more common in Caucasian-Americans than amongst minorities. The cause of both the rise and the ethnic differential is unclear, however, prenatal cannabis exposure was previously linked with elevated childhood leukaemia rates. We investigated epidemiologically if cannabis use impacted nationally on ALLRs, its ethnic effects, and if the relationship was causal. State data on overall, and ethnic ALLR from the Surveillance Epidemiology and End Results databank of the Centre for Disease Control (CDC) and National Cancer Institute (NCI) were combined with drug (cigarettes, alcoholism, cannabis, analgesics, cocaine) use data from the National Survey of Drug Use and Health; 74.1% response rate. Income and ethnicity data was from the US Census bureau. Cannabinoid concentration was from the Drug Enforcement Agency Data. Data was analyzed in R by robust and spatiotemporal regression. In bivariate analyses a dose-response relationship was demonstrated between ALLR and Alcohol Use Disorder (AUD), cocaine and cannabis exposure, with the effect of cannabis being strongest (β-estimate?=?3.33(95%C.I. 1.97, 4.68), P?=?1.92?×?10??6). A strong effect of cannabis use quintile on ALLR was noted (Chi.Sq.?=?613.79, P?=?3.04?×?10??70). In inverse probability weighted robust regression adjusted for other substances, income and ethnicity, cannabis was independently significant (β-estimate?=?4.75(0.48, 9.02), P?=?0.0389). In a spatiotemporal model adjusted for all drugs, income, and ethnicity, cannabigerol exposure was significant (β-estimate?=?0.26(0.01, 0.52), P?=?0.0444), an effect increased by spatial lagging (THC: β-estimate?=?0.47(0.12, 0.82), P?=?0.0083). After missing data imputation ethnic cannabis exposure was significant (β-estimate?=?0.64(0.55, 0.72), P?=?3.1?×?10??40). 33/35 minimum e-Values ranged from 1.25 to 3.94?×?1036 indicative of a causal relationship. Relaxation of cannabis legal paradigms had higher ALLR (Chi.Squ.Trend?=?775.12, P?=?2.14?×?10??112). Cannabis legal states had higher ALLR (2.395?±?0.039 v. 2.127?±?0.008 / 100,000, P?=?5.05?×?10??10). Data show that ALLR is associated with cannabis consumption across space-time, is associated with the cannabinoids, THC, cannabigerol, cannabinol, cannabichromene, and cannabidiol, contributes to ethnic differentials, demonstrates prominent quintile effects, satisfies criteria for causality and is exacerbated by cannabis legalization.
机译:急性淋巴白血病(全部)是最常见的儿童癌症,其发病率在许多国家升高。在美国,1975年至2016年间,所有利率(Allrs)从1.91升至3.70 / 100,000上涨93.51%?& 20年。所有人都比少数民族的白种人更常见。然而,上升和种族差异的原因尚不清楚,然而,产前大麻暴露以前与儿童白血病率升高。如果在全国范围内使用Allrs,其种族效应,以及这种关系是因果的影响,我们会调查流行病学。国家数据的总体数据和疾病控制中心的监测流行病学和最终结果数据库和国家癌症研究所(NCI)的数据库与药物(香烟,酒精中毒,大麻,镇痛药,可卡因)相结合使用国家毒品使用和健康调查; 74.1%的响应率。收入和种族数据来自美国人口普查局。大麻素浓度来自药物执法机构数据。通过稳健和时空回归分析数据。在双抗体分析中,Allr和酒精使用障碍(AUD),可卡因和大麻暴露之间证明了剂量 - 反应关系,大麻最强的效果(β-估计?3.33(95%CI 1.97,4.68),P ?=?1.92?×10 ?? 6)。强劲的大麻在Allr上使用Quintile(Chi.sq.?=?613.79,p?= 3.04?×10 ?? 70)。在对其他物质,收入和种族进行调整的反向概率加权稳健回归,大麻的独立显着(β-估计?=?4.75(0.48,9.02),p?= 0.0389)。在适用于所有药物,收入和种族的时空模型中,Cannabigerol ob暴露是显着的(β-估计?=?0.26(0.01,0.52),P?= 0.0444),其间通过空间滞后增加(THC:β-估计?=?0.47(0.12,0.82),p?= 0.0083)。缺少数据撤销族裔大麻暴露(β-估计)(β-估计?=?0.64(0.55,0.72),P?= 3.1?×10 ?? 40)。 33/35最小电子值从1.25到3.94?×1036指示因果关系。大麻的放宽法律范例有更高的Allr(Chi.squ.Trend?=?775.12,P?=?2.14?×10 ?? 112)。大麻法律态有更高的Allr(2.395?±0.039 V.2.127?±0.008 / 100,000,P?= 5.05?×10?10)。数据显示,Allr与时空的大麻消耗相关,与大麻素,THC,Cannigerol,大麻,大麻素和大麻素相关,有助于种​​族差异,表现出突出的五分效应,满足因果关系标准,并加剧了大麻合法化。

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