Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

Search Page

Filters

My NCBI Filters

Results by year

Table representation of search results timeline featuring number of search results per year.

Year Number of Results
2016 1
2017 1
2018 1
2024 0

Text availability

Article attribute

Article type

Publication date

Search Results

2 results

Results by year

Filters applied: . Clear all
Page 1
How immunological profile drives clinical phenotype of primary Sjögren's syndrome at diagnosis: analysis of 10,500 patients (Sjögren Big Data Project).
Brito-Zerón P, Acar-Denizli N, Ng WF, Zeher M, Rasmussen A, Mandl T, Seror R, Li X, Baldini C, Gottenberg JE, Danda D, Quartuccio L, Priori R, Hernandez-Molina G, Armagan B, Kruize AA, Kwok SK, Kvarnström M, Praprotnik S, Sène D, Bartoloni E, Solans R, Rischmueller M, Suzuki Y, Isenberg DA, Valim V, Wiland P, Nordmark G, Fraile G, Bootsma H, Nakamura T, Giacomelli R, Devauchelle-Pensec V, Knopf A, Bombardieri M, Trevisani VF, Hammenfors D, Pasoto SG, Retamozo S, Gheita TA, Atzeni F, Morel J, Vollenveider C, Horvath IF, Sivils KL, Olsson P, De Vita S, Sánchez-Guerrero J, Kilic L, Wahren-Herlenius M, Mariette X, Ramos-Casals M; Sjögren Big Data Consortium. Brito-Zerón P, et al. Among authors: vollenveider c. Clin Exp Rheumatol. 2018 May-Jun;36 Suppl 112(3):102-112. Epub 2018 Aug 14. Clin Exp Rheumatol. 2018. PMID: 30156539 Free article.
Influence of geolocation and ethnicity on the phenotypic expression of primary Sjögren's syndrome at diagnosis in 8310 patients: a cross-sectional study from the Big Data Sjögren Project Consortium.
Brito-Zerón P, Acar-Denizli N, Zeher M, Rasmussen A, Seror R, Theander E, Li X, Baldini C, Gottenberg JE, Danda D, Quartuccio L, Priori R, Hernandez-Molina G, Kruize AA, Valim V, Kvarnstrom M, Sene D, Gerli R, Praprotnik S, Isenberg D, Solans R, Rischmueller M, Kwok SK, Nordmark G, Suzuki Y, Giacomelli R, Devauchelle-Pensec V, Bombardieri M, Hofauer B, Bootsma H, Brun JG, Fraile G, Carsons SE, Gheita TA, Morel J, Vollenveider C, Atzeni F, Retamozo S, Horvath IF, Sivils K, Mandl T, Sandhya P, De Vita S, Sanchez-Guerrero J, van der Heijden E, Trevisani VFM, Wahren-Herlenius M, Mariette X, Ramos-Casals M; EULAR-SS Task Force Big Data Consortium. Brito-Zerón P, et al. Among authors: vollenveider c. Ann Rheum Dis. 2017 Jun;76(6):1042-1050. doi: 10.1136/annrheumdis-2016-209952. Epub 2016 Nov 29. Ann Rheum Dis. 2017. PMID: 27899373