致编辑的回复“使用Kokuho数据库的糖尿病并发症预测模型及其在日本公共卫生服务中的应用”的信。

IF 3 3区 医学 Q2 ENDOCRINOLOGY & METABOLISM
Yanna Le, Feiqi Xu, Qingyun Xu
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引用次数: 0

摘要

尊敬的编辑,我们怀着极大的兴趣阅读了《使用Kokuho数据库的糖尿病并发症预测模型及其在日本公共卫生服务中的应用》一文。本研究在开发利用大规模数据的糖尿病并发症预测模型方面做出了有价值的努力,对日本的公共卫生实践具有重大意义。然而,有两个方法学方面的考虑需要进一步澄清,以提高研究结果的科学严谨性和临床可转译性。首先,选择缺血性心脑血管病的6年历史分层窗口需要机制和经验证明。流行病学证据一致表明,糖尿病大血管并发症与短期代谢控制参数(1-3年),如血糖变异性和血压轨迹,而不是长期的历史数据有更强的相关性。6年的窗口期可能通过过度包括不太相关的历史记录而引入共线性,潜在地削弱动态的、时间敏感的风险因素的权重。此外,长期指标可能不能直接反映患者当前的风险状态。患者在此期间的总体危险因素状况可能因各种因素(如生活方式的改善、药物的改变和其他合并症的发生)而改变。我们敦促作者澄清是否进行了不同时间框架(1年、3年和6年)的系统比较,以验证预测准确性的最佳分层标准。其次,模型中早期生活方式决定因素与晚期生化标志物的比较预后价值值得讨论。生活方式因素(久坐行为、饮食模式和吸烟)通常先于生化异常5-10年,为原始预防提供了关键窗口期。从转化的角度来看,与既定的代谢紊乱相比,这些可改变的行为代表了公共卫生干预更可行的目标。作者是否进行了亚组分析来量化这些变量的相对预测能力,特别是关于它们在早期风险分层中的增量价值?解决这些问题将大大加强研究方法的稳健性和公共卫生相关性。我们赞扬作者对这一重要领域的贡献,并期待他们的澄清。作者声明无利益冲突。研究方案的批准:无。知情同意:无。注册表及注册编号研究/试验:无。动物研究:无。乐艳娜、徐青云:方法论、写作评审与编辑。徐飞起:方法论,写作。
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 ‘A prediction model for diabetes complications using the Kokuho Database and its application to public health services in Japan’

Letter to the Editor in Response to ‘A prediction model for diabetes complications using the Kokuho Database and its application to public health services in Japan’

Dear Editor,

We read with great interest the article ‘A prediction model for diabetes complications using the Kokuho Database and its application to public health services in Japan’1. This study represents a valuable endeavor in developing a diabetes complication prediction model leveraging large-scale data, with substantial implications for public health practice in Japan. However, two methodological considerations warrant further clarification to enhance the scientific rigor and clinical translatability of the findings.

First, the selection of a 6-year historical stratification window for ischemic heart disease and cerebrovascular disease requires mechanistic and empirical justification. Epidemiological evidence consistently indicates that diabetic macrovascular complications exhibit stronger associations with short-term metabolic control parameters (1–3 years) such as glycemic variability and blood pressure trajectories, rather than distant historical data2, 3. A 6-year window may introduce collinearity by over-including less relevant historical records, potentially attenuating the weight of dynamic, time-sensitive risk factors. In addition, long-term indicators may not directly reflect the current risk status of the patient. The overall risk factor status of the patient during this period may change due to various factors (such as improved lifestyle, changes in medication, and the occurrence of other comorbidities). We urge the authors to clarify whether systematic comparisons of alternative time frames (1, 3, and 6 years) were performed to validate the optimal stratification criteria for predictive accuracy.

Second, the comparative prognostic value of early lifestyle determinants vs late biochemical markers in the model merits discussion. Lifestyle factors (sedentary behavior, dietary patterns, and smoking) typically precede biochemical abnormalities by 5–10 years, offering a critical window for primordial prevention. From a translational perspective, these modifiable behaviors represent more actionable targets for public health interventions compared to established metabolic derangements. Did the authors perform subgroup analyses to quantify the relative predictive power of these variables, particularly regarding their incremental value in early risk stratification?

Addressing these points would significantly strengthen the study's methodological robustness and public health relevance. We commend the authors for their contribution to this important field and anticipate their clarifications.

The authors declare no conflict of interest.

Approval of the research protocol: N/A.

Informed consent: N/A.

Registry and the registration no. of the study/trial: N/A.

Animal studies: N/A.

None.

Yanna Le and Qingyun Xu: methodology, writing—review and editing. Feiqi Xu: methodology, writing.

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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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