Gharishvandi Fatemeh, Moheimani Hamed, Esmaeili Shahnaz, Larijani Bagher, Tootee Ali, Esfahani Ensieh Nasli, Fahimfar Noushin
Diabetes Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, PO Box: 1411413137, Tehran, Iran.
Osteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
J Diabetes Metab Disord. 2022 Aug 4;21(2):1913-1921. doi: 10.1007/s40200-022-01094-0. eCollection 2022 Dec.
Proper synthesis of existing epidemiologic studies on diabetes in Iran can guide future research efforts. We aimed to conduct a comprehensive scoping review on all research articles that investigated any aspect of diabetes epidemiology in Iran during 2015-2019.
This work was conducted as a part of the Iran Diabetes Research Roadmap and completed under Arksey and O'Malley's framework for scoping reviews. The Scopus and PubMed databases were searched on Feb 15, 2020. Eligible document types on diabetes epidemiology in the Iranian population, in Persian or English, that published during the 2015-2019 period underwent eligibility assessment. A total of 315 relevant articles were included and further analysis was performed on the original studies (n = 268). Through classifying them into six domains: Diabetes incidence; the prevalence of diabetes and associated factors; the incidence/prevalence of complications/comorbid conditions; mortality/survival; burden; and prediction modeling.
In total, 64 (20.3%) papers were published in Q1 journals, and 40 (12.6%) were international collaborations. No clear annual trend was present in the number of published primary or secondary articles, the portion of papers published in Q1 journals, international collaborations or relative domain proportions. Few review articles were found on prediction modeling, mortality or burden (excluding global studies).
Our findings show a minor portion of works on diabetic epidemiology in Iran meets the quality standards of Q1 journals. Researchers have neglected some critical subjects and have occasionally fallen for common pitfalls of epidemiologic research. In particular, adhering to established guidelines can help authors implement rigorous methods to develop, validate, and deploy practical clinical prediction models. Researchers should prioritize investigating longitudinally collected data that aid in measuring disease incidence and enable casual inference.
The online version contains supplementary material available at 10.1007/s40200-022-01094-0.
对伊朗现有糖尿病流行病学研究进行恰当综合分析，可为未来研究工作提供指导。我们旨在对2015 - 2019年期间调查伊朗糖尿病流行病学任何方面的所有研究文章进行全面的范围综述。
本研究作为伊朗糖尿病研究路线图的一部分开展，并在阿克西和奥马利的范围综述框架下完成。于2020年2月15日检索了Scopus和PubMed数据库。对2015 - 2019年期间发表的、关于伊朗人群糖尿病流行病学的波斯语或英语合格文献类型进行资格评估。共纳入315篇相关文章，并对原始研究（n = 268）进行了进一步分析。通过将它们分为六个领域：糖尿病发病率；糖尿病患病率及相关因素；并发症/合并症的发病率/患病率；死亡率/生存率；负担；以及预测模型。
总共64篇（20.3%）论文发表在Q1期刊上，40篇（12.6%）是国际合作项目。发表的初级或次级文章数量、Q1期刊发表的论文比例、国际合作项目或相对领域比例均无明显年度趋势。关于预测模型、死亡率或负担（不包括全球研究）的综述文章很少。
我们的研究结果表明，伊朗糖尿病流行病学研究中只有一小部分作品符合Q1期刊的质量标准。研究人员忽视了一些关键主题，偶尔还陷入了流行病学研究的常见陷阱。特别是，遵循既定指南可帮助作者采用严谨方法来开发、验证和部署实用的临床预测模型。研究人员应优先调查纵向收集的数据，这些数据有助于测量疾病发病率并进行因果推断。
在线版本包含可在10.1007/s40200 - 022 - 01094 - 0获取的补充材料。
