针对“中年2型糖尿病患者糖尿病并发症严重程度与癌症风险之间的关系”致编辑的回复信。

IF 3.1 3区 医学 Q2 ENDOCRINOLOGY & METABOLISM
Syeda Aamna Wasti
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引用次数: 0

摘要

亲爱的编辑,我最近读了一篇题为《中年2型糖尿病患者糖尿病并发症严重程度与癌症风险之间的关系》的文章,这篇文章对癌症发展风险与糖尿病严重程度之间的关系提供了有价值的见解,是第一个解决这一关系的文章。然而,我认为有几个限制可以强调,以进一步加强调查结果。首先,虽然这项研究对各种已知的混杂因素进行了调整,但它没有考虑到其他可能无法测量的变量,如身体活动、饮食、研究期间治疗指南的变化,或糖尿病和癌症的遗传易感,这些因素可能会影响观察到的关联。其次,本研究使用的数据来自台湾全民健康保险研究数据库,由于其主要反映的是台湾人口,因此限制了概括性。医疗系统、遗传差异和生活方式等因素可能导致不同人群中癌症风险与糖尿病之间的不同关联;因此,在更多样化的人群中进行复制可以帮助验证这些结论。对单一数据库的依赖影响研究的稳健性。此外,由于这是一项回顾性和观察性研究,它确实发现了两个因素之间的关系,但并没有明确地得出一个因素导致另一个因素的结论,也就是说,它确实证明了一种关联,但不是因果关系。此外,尽管已采取措施减少反向因果关系,但仍可能有一些未确诊或早期癌症患者未被发现,并可能影响糖尿病并发症的进程。该研究也有一些潜在的偏差,包括选择偏差——无法获得医疗保健的患者的数据,非药物治疗的糖尿病或未诊断的早期并发症可能会丢失,或者那些没有随访的数据可能与那些留在研究中的数据不同,导致高估或低估了更广泛人群的癌症风险——和药物使用——研究确实解释了这一点;然而,糖尿病并发症更严重的患者可能需要更积极的治疗,这可能会影响癌症的风险。癌症和糖尿病治疗之间也可能存在潜在的重叠,这一点没有得到解决,从而混淆了结果。此外,排除在糖尿病诊断的第一年内被诊断为癌症的患者可能导致生存偏差,影响通用性。此外,这项研究的随访期为13年,可能无法捕捉到糖尿病并发症对癌症的影响,因为癌症需要更长的时间才能显现出来;更长的后续行动将提供更全面的见解。目前的研究也没有考虑特定癌症的不同亚型;与不同亚型相关的风险可能会有所不同,并且它不能提供研究期间血糖水平的太多信息;血糖变异性可以独立影响这两个因素;因此,重要的是要考虑到这一点,以充分理解这种联系。此外,慢性疾病如心血管疾病、慢性肾脏疾病和自身免疫性疾病的影响没有被考虑在内,可能是混淆结果的来源。我相信,针对这些局限性的未来研究可以更全面地了解糖尿病并发症与癌症风险之间的关系,最终导致更精细的治疗和预防策略。作者声明无利益冲突。研究方案的批准:无。知情同意:无。注册批准日期及注册编号。研究/试验:无。动物研究:无。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Letter to the Editor in Response to “Association between severity of diabetic complications and risk of cancer in middle-aged patients with type 2 diabetes”

Dear Editor,

I recently read the article titled “Association between severity of diabetic complications and risk of cancer in middle-aged patients with type 2 diabetes”1, which provides valuable insights on the relation between the risk of cancer development and diabetes severity, being the first to address this association. However, I believe there are several limitations that could be highlighted to strengthen the findings further.

Firstly, while the study adjusts for a variety of known confounders, it does not account for other potential unmeasured variables like physical activity, diet, changes in treatment guidelines through the study period, or genetic predispositions to both diabetes and cancer, which could influence the observed associations. Secondly, the study uses data from the Taiwan National Health Insurance Research Database, limiting generalizability as it primarily reflects the Taiwanese population. Factors like healthcare systems, genetic differences, and lifestyle factors may cause variable associations between cancer risk and diabetes in different populations; hence, replication in more diverse populations could help validate the conclusions. Reliance on a single database affects the robustness of the study.

Additionally, since this is a retrospective and observational study, it does find a relationship between the two factors but does not definitively conclude that one factor causes the other, that is it does prove an association but not a cause-and-effect relationship. Moreover, even though steps have been taken to reduce reverse causality, there may still be some patients with undiagnosed or early-stage cancer that were not identified and could influence the course of diabetes complications.

The study also has some potential biases, including selection bias—data on patients who are unable to access healthcare, with non-medication managed diabetes or undiagnosed early complications may be missing, or data on those who are lost to follow-up may differ from those who remained in the study, leading to overestimation or underestimation of cancer risk in the wider population—and medication use—the study does account for it; however, patients with more severe diabetic complications may be prescribed more aggressive treatments, which can influence cancer risk. There could also be a potential overlap between cancer and diabetes treatments that is not addressed, confounding the results. Additionally, exclusion of patients diagnosed with cancer within the first year of their diabetes diagnosis could result in survival bias, impacting generalizability.

Furthermore, the follow-up period for this study is 13 years, which may not capture the influence of diabetes complications on cancers that take longer to manifest; a longer follow-up would provide more comprehensive insights. The current study also does not consider various subtypes of a particular cancer; the risk associated with different subtypes may vary, and it does not provide much information on glycemic levels during the study period; glycemic variability can impact both factors independently; hence, it is important to consider this to fully understand the association. Additionally, the impact of chronic diseases like cardiovascular diseases, chronic kidney diseases, and autoimmune disorders is not accounted for and may be a source of confounding results.

I believe that future studies addressing these limitations could offer a more comprehensive understanding of the relationship between diabetes complications and cancer risk, ultimately leading to more refined treatment and prevention strategies.

The authors declare no conflict of interest.

Approval of the research protocol: N/A.

Informed consent: N/A.

Approval date of registry and the registration no. of the study/trial: N/A.

Animal Studies: N/A.

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来源期刊
Journal of Diabetes Investigation
Journal of Diabetes Investigation ENDOCRINOLOGY & METABOLISM-
CiteScore
6.50
自引率
9.40%
发文量
218
审稿时长
6-12 weeks
期刊介绍: Journal of Diabetes Investigation is your core diabetes journal from Asia; the official journal of the Asian Association for the Study of Diabetes (AASD). The journal publishes original research, country reports, commentaries, reviews, mini-reviews, case reports, letters, as well as editorials and news. Embracing clinical and experimental research in diabetes and related areas, the Journal of Diabetes Investigation includes aspects of prevention, treatment, as well as molecular aspects and pathophysiology. Translational research focused on the exchange of ideas between clinicians and researchers is also welcome. Journal of Diabetes Investigation is indexed by Science Citation Index Expanded (SCIE).
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