Results 191 to 200 of about 13,807 (248)

The burden of COVID‐19 in hospitalized people with diabetes mellitus in Brazil: Insights from four years of the pandemic

Diabetic Medicine, EarlyView.
Abstract Aims Coronavirus disease 2019 (COVID‐19), caused by severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2), is more severe in people with diabetes mellitus due to immune dysfunction, exacerbated inflammation and increased risk of co‐morbidities and mortality.
Taís Mendes Camargo, Bianca Aparecida Siqueira, Luiz Felipe Azevedo Marques, Lucas Silva Mello, Fernando Augusto Lima Marson   +4 more
wiley   +1 more source

Prevalence of PD-1 Inhibitor-Associated Peripheral Neuropathy: A Retrospective Cohort Study. [PDF]

Life (Basel)
Ganji-Angirekula S, Segada NW, Hasan P, Grace PM, Wang J, Sun X, Javed S.   +6 more
europepmc   +1 more source

Psychological research in eating disorders/disordered eating in type 1 diabetes: A systematic review using the NIH stage model for behavioural intervention development

Diabetic Medicine, EarlyView.
Abstract Aims Eating disorders in type 1 diabetes are 2.4 times more likely to develop than those who do not have diabetes. The aim was to conduct a systematic review on psychological interventions in IRDEB (insulin‐related disordered eating behaviour)/eating disorders with adults who have type 1 diabetes.
Heather L. Stuckey, Debbie Cooke, Amy C. Knehans, Timothy C. Skinner   +3 more
wiley   +1 more source

Drosophila view on glia in peripheral sensory neuropathy. [PDF]

Neural Regen Res
Kautzmann S, Klämbt C.
europepmc   +1 more source

Cost‐effectiveness of investing in earlier access to diabetic foot services: A multi‐centre pre‐post study

Diabetic Medicine, EarlyView.
Abstract Aims We evaluated the cost‐effectiveness of implementing a novel funding model to incentivise earlier access of patients with diabetes‐related foot disease (DFD) to diabetic foot services (DFS). Methods In this multi‐centre pre‐post study, we compared the cost, quality‐adjusted life year (QALY) and clinical outcomes of patients with diabetes ...
Son Nghiem, Peter A. Lazzarini, Lauren T. Ward, Sarah Jensen, Danielle Charles, Rebecca Mann, Manjeet Sagoo, Jennifer Finch, Belinda Gavaghan, Liza‐Jane McBride, Joshua Byrnes   +10 more
wiley   +1 more source

Impact of Microvascular Complication Burden on the Risk of Dementia and Cognitive Decline in Patients With Diabetes: A Systematic Review of Latest Evidence. [PDF]

Cureus
Gul SA, John J, Rehan R, Bahboh MF, Akhtar N, Kazmi SAHS, Javed H, Ahmed S, Ali F, Bashir AAS, Arif MS.   +10 more
europepmc   +1 more source

Women living with diabetes: Overlooked and under‐recognised, the psychosocial impact

Diabetic Medicine, EarlyView.
Abstract Aim Diabetes intersects with women's reproductive and sexual health across the life course; however, the psychosocial implications of key reproductive transitions remain under‐recognised in research and clinical practice. This review synthesised evidence on the psychosocial impacts of diabetes during menstruation, pregnancy, the menopausal ...
Rita Forde, Angus Forbes, Dawn Adams, Aycan Celik Esmer, Emma Davidsen, Maartje de Wit, Michelle Hadjiconstantinou, Rahab Hashim, Ana Munda, Giesje Nefs, Hermelinda C. Pedrosa, Anita Sabidi, Judith Parsons   +12 more
wiley   +1 more source

Modalities of vision restoration in optic neuropathies and retinal disease. [PDF]

Prog Retin Eye Res
Rubin B, Lavinsky F, Cain R, Kuriyan AE, Wollstein G, Zambrano R, Schuman JS.   +6 more
europepmc   +1 more source

Comparative predictive accuracy of machine learning versus traditional statistical methods for diabetes‐related complications: A systematic review and analysis

Diabetic Medicine, EarlyView.
This systematic review of 36 studies comparing machine learning with traditional statistical models for predicting diabetes‐related complications found modest discrimination gains with ensemble approaches, particularly random forest and gradient boosting.
Bismah Ghafoor, Francesco Zaccardi, Kamlesh Khunti, Sharmin Shabnam   +3 more
wiley   +1 more source

Comparison of intraepidermal nerve fibre density among different age groups in healthy dogs. [PDF]

Vet Res Commun
Mt M, Giglia G, Arcaro S, Bergmann W, Zelli R, Di Salvo A, Della Rocca G.   +6 more
europepmc   +1 more source