Arnav Agarwal
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Publications récentes
CVOT Summit Report 2025: advances along the cardiovascular–kidney–metabolic disease continuum
Oliver Schnell, Arnav Agarwal, Michel Azizi, Dennis Ballwieser et autres
Are Data Augmentation and Segmentation Always Necessary? Insights from COVID-19 X-Rays and a Methodology Thereof
Aman Swaraj, Arnav Agarwal, Hitendra Singh Bhadouria, Sandeep Kumar et autres
Are Data Augmentation and Segmentation Always Necessary? Insights from COVID-19 X-Rays and a Methodology Thereof
Aman Swaraj, Arnav Agarwal, Hitendra Singh Bhadouria, Sandeep Kumar et autres
Discriminating clinical prediction models: how outcome incidence and decision thresholds shape clinical utility and apt AUROC values
Farid Foroutan, Jessica Weiss, Martin Mayer, Lena Kristin Bache-Mathiesen et autres
In adults with overweight or obesity, weekly subcutaneous cagrilintide–semaglutide increased weight loss at 68 wk
Recommendation Map for Type 2 Diabetes: A Protocol for a Living Systematic Review of Clinical Practice Guidelines
Qiyi Zhang, Shichun Wang, Kang An, Arnav Agarwal et autres
Pharmacotherapy for adults with metabolic dysfunction-associated steatotic liver disease (MASLD) and metabolic dysfunction–associated steatohepatitis (MASH): a systematic review and network meta-analysis
Yousef Manialawy, Erin Deacon, Tea Christine Sue, Ramsha Khan et autres
Nonregistration, Discontinuation, and Nonpublication of Randomized Trials
Benjamin Speich, Ala Taji Heravi, Christof Schönenberger, L. Hausheer et autres
Medications for adults with type 2 diabetes: a living systematic review and network meta-analysis
Kailei Nong, Britta Tendal Jeppesen, Qingyang Shi, Thomas Agoritsas et autres
Cardiovascular, kidney related, and weight loss effects of therapeutics for type 2 diabetes: a living clinical practice guideline
Arnav Agarwal, Reem A. Mustafa, Veena Manja, Thomas Agoritsas et autres
Prognostic models for cardiovascular and kidney outcomes in people with type 2 diabetes: living systematic review and meta-analysis of observational studies
Daniel Rayner, Darsh S. Shah, Si-Cheng Dai, David Gou et autres
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