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3. General and abdominal adiposity and hypertension in eight world regions: a pooled analysis of 837 population-based studies with 7·5 million participants

6. Application of a Deep Learning System to Detect Papilledema on Nonmydriatic Ocular Fundus Photographs in an Emergency Department

7. Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population-representative studies with 222 million children, adolescents, and adults

9. The BONSAI (Brain and Optic Nerve Study with Artificial Intelligence) deep learning system can accurately identify pediatric papilledema on standard ocular fundus photographs

11. Central corneal thickness and its associations in a Russian population. The Ural eye and Medical Study

14. Ankle-brachial index and ocular diseases in a Russian population

17. Association of Systemic Medication Use with Glaucoma and Intraocular Pressure: The European Eye Epidemiology Consortium

18. Effective refractive error coverage in adults aged 50 years and older: estimates from population-based surveys in 61 countries

19. Diagnosis and classification of optic neuritis

20. Prevalence of metabolic syndrome in a Russian population: The Ural Eye and Medical Study and the Ural Very Old Study

22. Prevalence and associated factors of osteoarthritis in the Ural Eye and Medical Study and the Ural Very Old Study

25. Atrial fibrillation and flutter and ocular diseases. The Ural eye and medical study and the Ural very old study.

26. Response to Letter to the Editor: “Discrepancies in reported prevalence rates of keratoconus in Russia”

27. Application of a Deep Learning System to Detect Papilledema on Nonmydriatic Ocular Fundus Photographs in an Emergency Department

28. Worldwide trends in hypertension prevalence and progress in treatment and control from 1990 to 2019: a pooled analysis of 1201 population-representative studies with 104 million participants

29. Retinal photograph-based deep learning algorithms for myopia and a blockchain platform to facilitate artificial intelligence medical research: a retrospective multicohort study

31. Intravitreal panitumumab and myopic macular degeneration.

32. Prevalence and Pattern of Geographic Atrophy in Asia: The Asian Eye Epidemiology Consortium

33. Axial length and its associations in the Ural Very Old Study

35. Prevalence and associated factors of myopia in children and adolescents in Russia: the Ural Children Eye Study.

37. Prevalence and associated factors of glaucoma in the Russian Ural Eye and Medical Study

41. Prevalence of and factors associated with low Back pain, thoracic spine pain and neck pain in Bashkortostan, Russia: the Ural Eye and Medical Study

42. Associations between axial length, corneal refractive power and lens thickness in children and adolescents: The Ural Children Eye Study.

43. Association of lipid-lowering drugs and antidiabetic drugs with age-related macular degeneration: a meta-analysis in Europeans.

44. Associations between axial length, corneal refractive power and lens thickness in children and adolescents: The Ural Children Eye Study

45. Application of diagnostic criteria for optic neuritis – Authors' reply

46. Prevalence and associated factors of myopia in children and adolescents in Russia: the Ural Children Eye Study

47. Diminishing benefits of urban living for children and adolescents’ growth and development

49. Hand grip strength and ocular associations: the Ural Eye and Medical Study.

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