数据链接：
官方服务：
资源简介：
Summary risk scores in association with T2D.
应用场景：
创建时间：
2014-02-10
相关数据集
Classification of the examined markers to predict diabetes in this study.
aThe combination of fasting plasma glucose and hemoglobin A1c were used in the base predictive model for diabetes. bFor the obvious sex difference in the prevalence of diabetes, men and women were sep
NIAID Data Ecosystem50
Supplementary Material for: Risk Score for Predicting Recurrence in Patients with Ischemic Stroke: The Fukuoka Stroke Risk Score for Japanese
Background: Currently, there are only a few risk scores to predict long-term recurrence of ischemic stroke and no risk score has been developed for the Asian population. The aim of the present study w
NIAID Data Ecosystem40
Quantitative Assessment of the Effect of KCNJ11 Gene Polymorphism on the Risk of Type 2 Diabetes
To clarify the role of potassium inwardly-rectifying-channel, subfamily-J, member 11 (KCNJ11) variation in susceptibility to type 2 diabetes (T2D), we performed a systematic meta-analysis to investiga
NIAID Data Ecosystem20
Penetrance estimates for the 15q11.2-q13.3 duplication.
In brackets are shown the 95%CI, calculated with the methods described in [24].
Figshare2016-05-11 更新50
Incidence, absolute risk difference, and relative risk of individual adverse effects for opioids compared to NSAIDs in the propensity-matched cohorts ( n = 18,062).
Incidence, absolute risk difference, and relative risk of individual adverse effects for opioids compared to NSAIDs in the propensity-matched cohorts (n = 18,062).
NIAID Data Ecosystem20
