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Maxime Dougados

Researcher at University of Paris

Publications -  1144
Citations -  78022

Maxime Dougados is an academic researcher from University of Paris. The author has contributed to research in topics: Rheumatoid arthritis & Ankylosing spondylitis. The author has an hindex of 134, co-authored 1054 publications receiving 69979 citations. Previous affiliations of Maxime Dougados include French Institute of Health and Medical Research & Paris Descartes University.

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Measuring disease activity in ankylosing spondylitis: patient and physician have different perspectives

TL;DR: AS patients rate disease activity on the basis of complaints while physicians rate diseaseactivity on the based of instruments related to disease severity and inflammation.
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Evaluation of the symptomatic and structural efficacy of a new hyaluronic acid compound, NRD101, in comparison with diacerein and placebo in a 1 year randomised controlled study in symptomatic knee osteoarthritis

TL;DR: A weak but statistically significant structural deterioration occurred over 1 year, together with clinically relevant symptomatic improvement in patients receiving oral drug and iterative IA injections.
Journal Article

Predictive factors of 5-year health assessment questionnaire disability in early rheumatoid arthritis.

TL;DR: During the first 5 years of RA, radiological damage increased progressively in half of the patients, whereas HAQ disability improved in most of them during the same period of time and could be predicted by baseline values of HAQ score, Ritchie index, ESR, CRP, and presence (or absence) of erosion.
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The development of a preliminary ultrasonographic scoring system for features of hand osteoarthritis

TL;DR: A preliminary US hand OA scoring system was developed, initially focusing on relevant pathological features with potentially high reliability, and demonstrated substantive to almost perfect percentage exact agreement on the presence/absence of the selected OA features and moderate to substantive percentage actual agreement on semi-quantitative grading.