Letter to the editor on "Geotemporospatial and causal inferential epidemiological overview and survey of USA cannabis, cannabidiol and cannabinoid genotoxicity expressed in cancer incidence 2003-2017, parts 1-3".

Frank Yizhao Chen, Michael Barnes, Evan Cole Lewis
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引用次数: 0

Abstract

We would like to thank authors Reece and Hulse (2022) for their three-part article titled "Geotemporospatial and causal inferential epidemiological overview and survey of USA cannabis, cannabidiol and cannabinoid genotoxicity expressed in cancer incidence 2003-2017", in which the authors infer that cannabis use has a causal role in the development of various cancer types. While the authors use reputable datasets and a well-established epidemiological methodology, the authors' conclusion of a causal association is limited due to biases inherent in ecological epidemiological studies. Though the researchers attempt to overcome these biases through validation and statistical manipulations, their approaches are insufficient to create conditions suitable for causal inferencing upon examination. There are also concerns in the practical and conceptual application of the studies' dataset that further question the validity of the authors' inferences. Further research exploring the potential benefits and harm of cannabinoids in the context of cancer must be performed before a distinct relationship can be defined.

致编辑关于“2003-2017年美国大麻、大麻二酚和大麻素基因毒性在癌症发病率中的地理时空和因果推理流行病学概述和调查,第1-3部分”的信。
我们要感谢作者Reece和Hulse(2022)的三篇文章,题为“2003-2017年美国大麻,大麻二酚和大麻素遗传毒性在癌症发病率中的地理时空和因果推理流行病学概述和调查”,其中作者推断大麻使用在各种癌症类型的发展中具有因果作用。虽然作者使用了可靠的数据集和完善的流行病学方法,但由于生态流行病学研究中固有的偏见,作者对因果关系的结论是有限的。尽管研究人员试图通过验证和统计操作来克服这些偏差,但他们的方法不足以在检查时创造适合因果推理的条件。在研究数据集的实际和概念应用方面也存在一些担忧,这进一步质疑了作者推断的有效性。在确定大麻素与癌症之间的关系之前,必须进行进一步的研究,探索大麻素在癌症方面的潜在益处和危害。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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