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Fulltext Risk of all-cause and CHD mortality in women versus men with type 2 diabetes: a systematic review and meta-analysis

Xu G, You D, Wong L, Duan D, Kong F, Zhang X, et al.

Eur J Endocrinol, 2019 Apr;180(4):243-255.
PMID: 30668524 DOI: 10.1530/EJE-18-0792

Objective: Previous studies have shown sex-specific differences in all-cause and CHD mortality in type 2 diabetes. We performed a systematic review and meta-analysis to provide a global picture of the estimated influence of type 2 diabetes on the risk of all-cause and CHD mortality in women vs men.
Methods: We systematically searched PubMed, EMBASE and Web of Science for studies published from their starting dates to Aug 7, 2018. The sex-specific hazard ratios (HRs) and their pooled ratio (women vs men) of all-cause and CHD mortality associated with type 2 diabetes were obtained through an inverse variance-weighted random-effects meta-analysis. Subgroup analyses were used to explore the potential sources of heterogeneity.
Results: The 35 analyzed prospective cohort studies included 2 314 292 individuals, among whom 254 038 all-cause deaths occurred. The pooled women vs men ratio of the HRs for all-cause and CHD mortality were 1.17 (95% CI: 1.12-1.23, I2 = 81.6%) and 1.97 (95% CI: 1.49-2.61, I2 = 86.4%), respectively. The pooled estimate of the HR for all-cause mortality was approximately 1.30 in articles in which the duration of follow-up was longer than 10 years and 1.10 in articles in which the duration of follow-up was less than 10 years. The pooled HRs for all-cause mortality in patients with type 2 diabetes was 2.33 (95% CI: 2.02-2.69) in women and 1.91 (95% CI: 1.72-2.12) in men, compared with their healthy counterparts.
Conclusions: The effect of diabetes on all-cause and CHD mortality is approximately 17 and 97% greater, respectively, for women than for men.
Fulltext Does body mass index and height influence the incident risk of ischemic stroke in newly diagnosed type 2 diabetes subjects?

Duan D, Li H, Xu J, Wong L, Xu G, Kong F, et al.

J Diabetes Res, 2019;2019:2591709.
PMID: 30805371 DOI: 10.1155/2019/2591709

Objective: To estimate the incident risk of ischemic stroke (IS) in newly diagnosed type 2 diabetes (T2D) subjects according to different body mass index (BMI) and height categories.

Methods: A total of 25,130 newly diagnosed T2D subjects were included in this study. All T2D subjects were enrolled consecutively from the Chronic Disease Surveillance System (CDSS) of Ningbo. Standardized incidence ratio (SIR) and its 95% confidence interval (95% CI) stratified by BMI categories and height quartiles were used to estimate the incident risk of IS in T2D subjects.

Results: In total, 22,795 subjects completed the follow-up. Among them, 1268 newly diagnosed IS cases were identified, with 149,675 person-years. The SIRs of normal BMI (18.5-24.0 kg/m2), overweight (24.0-28.0 kg/m2), and obese (≥28.0 kg/m2) in overall subjects were 2.56 (95% CI 1.90-3.13), 2.13 (95% CI 1.90-3.13), and 1.87 (95% CI 1.29-2.43), respectively (Ptrend < 0.01), comparing to the general population of Ningbo. For each 1 kg/m2 increment in BMI, the SIR was 0.948 (95% CI 0.903-0.999). For height quartiles, the SIRs of male subjects in quartile 1 (<160 cm), quartile 2 (161-165 cm), quartile 3 (165-170 cm), and quartile 4 (≥171 cm) were 2.27 (95% CI 1.99-2.56), 2.01 (95% CI 1.67-2.45), 1.37 (95% CI 1.05-1.68), and 0.91 (95% CI 0.40-1.32), respectively (Ptrend < 0.01). While for female subjects, the SIRs in quartile 1 (<155 cm), quartile 2 (156-160 cm), quartile 3 (161-165 cm), and quartile 4 (≥166 cm) were 3.57 (95% CI 3.11-3.49), 2.96 (95% CI 2.61-3.31), 1.94 (95% CI 1.51-2.36), and 1.71 (95% CI 0.95-2.47), respectively (Ptrend < 0.01).

Conclusion: Compared to the general population of Ningbo, T2D subjects had a higher incident risk of IS. Furthermore, the IS incident risk was not only higher in newly diagnosed T2D subjects with normal BMI but also lower in taller newly diagnosed T2D subjects.
Fulltext Second international consensus report on gaps and opportunities for the clinical translation of precision diabetes medicine

Tobias DK, Merino J, Ahmad A, Aiken C, Benham JL, Bodhini D, et al.

Nat Med, 2023 Oct;29(10):2438-2457.
PMID: 37794253 DOI: 10.1038/s41591-023-02502-5

Precision medicine is part of the logical evolution of contemporary evidence-based medicine that seeks to reduce errors and optimize outcomes when making medical decisions and health recommendations. Diabetes affects hundreds of millions of people worldwide, many of whom will develop life-threatening complications and die prematurely. Precision medicine can potentially address this enormous problem by accounting for heterogeneity in the etiology, clinical presentation and pathogenesis of common forms of diabetes and risks of complications. This second international consensus report on precision diabetes medicine summarizes the findings from a systematic evidence review across the key pillars of precision medicine (prevention, diagnosis, treatment, prognosis) in four recognized forms of diabetes (monogenic, gestational, type 1, type 2). These reviews address key questions about the translation of precision medicine research into practice. Although not complete, owing to the vast literature on this topic, they revealed opportunities for the immediate or near-term clinical implementation of precision diabetes medicine; furthermore, we expose important gaps in knowledge, focusing on the need to obtain new clinically relevant evidence. Gaps include the need for common standards for clinical readiness, including consideration of cost-effectiveness, health equity, predictive accuracy, liability and accessibility. Key milestones are outlined for the broad clinical implementation of precision diabetes medicine.

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