Research
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INDEX
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Scanned: 4600
Evaluated: 550
Selected: 112

 
    DIABETES    HEART   

Mcr26-009

Type 2 Diabetes and Heart Failure: A Comparative Analysis of Disease Trajectory and Clinical Outcomes

Quote: Conclusions Although diabetes poses an additional burden for patients with CHF, survival is similar in diabetics and nondiabetics. Nonetheless, readmission rates may be higher among diabetics. Tricuspid return velocity is higher in diabetics, suggesting early pulmonary vasculature remodeling.
Abstract: https://www.medrxiv.org/content/10.64898/2026.06.22.26356266v1
Full Text: https://www.medrxiv.org/content/10.64898/2026.06.22.26356266v1.full-text
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Search Authors: Abes A. Bautista Neughebauer Zackary Tushak Raymond L. Benza Deepak Talreja, 
    PRIME    DIABETES   

Mdb26-002

Predicting county-level diagnosed diabetes prevalence in the United States using explainable gradient boosting and geographic interpretation

Quote: We then used SHapley Additive exPlanations (SHAP) to examine how county characteristics contributed to the LightGBM predictions. Physical inactivity was the most influential predictor overall. Among structural and contextual predictors, poverty, food insecurity, Supplemental Nutrition Assistance Program (SNAP) participation, unemployment, and median household income frequently made the largest positive contributions to predicted diagnosed diabetes prevalence.
Abstract: https://www.medrxiv.org/content/10.64898/2026.06.23.26356400v1
Full Text: https://www.medrxiv.org/content/10.64898/2026.06.23.26356400v1.full-text
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Search Authors: Yussif Yahaya Sagor Khan Priyanka Rani Saha Md Al Amin Meia, 
    DIABETES   

Mdb26-004

Using routine clinical features to classify adult-onset diabetes at diagnosis: the StartRight prospective observational study

Quote: Interpretation Lower age-at-diagnosis, BMI, and waist-hip ratio, unintentional weight loss and high presentation glycaemia are the most discriminative features for diagnosis of type 1 diabetes in adults. Models combining routine clinical features, with or without islet-autoantibodies, have high accuracy and could assist clinical classification and prioritisation of classification biomarker testing.
Abstract: https://www.medrxiv.org/content/10.64898/2026.05.01.26352217v2
Full Text: https://www.medrxiv.org/content/10.64898/2026.05.01.26352217v2.full-text
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Search Authors: Julieanne Knupp Anita Hill Nicholas JM Thomas Timothy J McDonald Katherine G Young Diane P Fraser Andrew T Hattersley Trevelyan J McKinley Beverley M Shields Angus G Jones, 
    DIABETES    NUTRITION   

Mdb26-007

Pre-activity glycemic prediction prioritizes post-meal movement

Quote: We linked Human Phenotype Project diet logs, continuous glucose monitoring and wearable step counts to test whether glycemic risk estimated before activity occurs can prioritize post-meal movement.
Abstract: https://www.medrxiv.org/content/10.64898/2026.06.22.26356272v1
Full Text: https://www.medrxiv.org/content/10.64898/2026.06.22.26356272v1.full-text
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Search Authors: Smadar Shilo Gal Sapir Guy Lutsker Yeela Talmor-Barkan Anastasia Godneva Alon Diament Marcos Matabuena Eran Segal Hagai Rossman, 
    DIABETES   

Mdb26-011

Impact of Antidiabetic Medications on IgG and Plasma Protein N-Glycosylation in Type 2 Diabetes Patients

Quote: Conclusions Our findings emphasise the importance of protein glycosylation as a dynamic and responsive marker in T2D treatment. The distinct glycan alterations observed in response to metformin, SGLT2 inhibitors, and GLP-1 receptor agonists provide novel insights into the molecular effects of these therapies, potentially contributing to the development of glycan-based biomarkers for personalized diabetes management.
Abstract: https://www.medrxiv.org/content/10.64898/2026.06.17.26355850v1
Full Text: https://www.medrxiv.org/content/10.64898/2026.06.17.26355850v1.full-text
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Search Authors: Nikol Mraz Frano Vukovi Tea Pribi Anica Rado Kaji Tomas Mati Edita Pape Medvidovi Vilma Kolari Dario Raheli Gordan Lauc Tamara tambuk, 
    PRIME    DIABETES   

Mim26-002

Predictive Autoantibodies Before the Diagnosis of Type I Diabetes in Adults

Quote: These findings extend observations from pediatric type 1 diabetes to adults and demonstrate that AOT1D-associated autoimmunity often begins decades before clinical diagnosis, highlighting a potentially important window for risk stratification and preventive intervention.
Comment: the body has to clean up deadn and injured cells. this is done with antibodies tagging the cells for phagocytes. so anything that causes a large number of dead cells raises the potential for autoimmune disease.
Abstract: https://www.medrxiv.org/content/10.64898/2026.06.23.26355661v1
Full Text: https://www.medrxiv.org/content/10.64898/2026.06.23.26355661v1.full-text
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Search Authors: Peter D. Burbelo Robert Nee Julio A. Huapaya Richard Plasse Myungjin Kim Sarah Gordon Giovanni Di Pasquale John A. Chiorini Stephen Olson, 
    DIABETES    NUTRITION   

Mnu26-008

Time to Eat: Increased Meal Regularity, Weight Loss, and Well-Being " A Randomized Controlled Pilot Study

Abstract: https://www.medrxiv.org/content/10.1101/2024.01.30.24301983v6
Full Text: https://www.medrxiv.org/content/10.1101/2024.01.30.24301983v6.full-text
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Search Authors: Isabell Wilming Jana Tuschewski Jessie M Osterhaus Theresa JG Bringmann Anisja Hhne-Landgraf Olga Pivovarova-Ramich Dominic Landgraf, 

  Javilk's Research Links for Week 26
Updated 07/04/2026-03:43:26 AM
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