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Abhijeet Danve

Researcher at Yale University

Publications -  39
Citations -  940

Abhijeet Danve is an academic researcher from Yale University. The author has contributed to research in topics: Population & Ankylosing spondylitis. The author has an hindex of 11, co-authored 35 publications receiving 509 citations. Previous affiliations of Abhijeet Danve include Oregon Health & Science University & New York Medical College.

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2020 American College of Rheumatology Guideline for the Management of Gout.

TL;DR: To provide guidance for the management of gout, including indications for and optimal use of urate‐lowering therapy (ULT), treatment of g out flares, and lifestyle and other medication recommendations.
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Amyloid Beta-Related Angiitis—A Case Report and Comprehensive Review of Literature of 94 Cases

TL;DR: ABRA is a rare but treatable cause of progressive dementia and should be considered in the differential diagnosis of rapid-onset CNS dysfunction in patients older than 60 years and responds well to steroids and other immunosuppressant therapy.
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Axial spondyloarthritis in the USA: diagnostic challenges and missed opportunities.

TL;DR: Clinical practice related to axSpA within the USA is discussed, including prevalence, diagnosis, reasons for delayed/missed diagnosis, and suggestions for making early diagnosis.
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Determinants of mortality in systemic sclerosis: a focused review.

TL;DR: It is found that even though the mortality among the general population has declined, scleroderma continues to carry a very high morbidity and mortality rate, however there has made some slow progress in improving the mortality Among sclerodma patients over the last few decades.
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The Role of 18F Fluorodeoxyglucose Positron Emission Tomography Scanning in the Diagnosis and Management of Systemic Vasculitis

TL;DR: In patients with GCA, FDG‐PET has acceptable sensitivity and specificity for the early diagnosis in non‐cranial GCA with negative biopsy, assessment of immediate response to treatment, predicting prognosis, but has limited value in serial follow‐up and prediction of relapses.