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Record W4411415228 · doi:10.1016/j.ard.2025.06.195

POS0839 EPIDEMIOLOGY OF SJÖGREN SYNDROME IN CATALONIA SPAIN. A POPULATION-BASED COHORT STUDY

2025· article· en· W4411415228 on OpenAlexaff
Juan Camilo Sarmiento-Monroy, María Grau, Cristian Tebé, Cristina Carbonell-Abella, Daniel Martínez-Laguna, Beatriz Frade‐Sosa, Justina Sam, Patricia Corzo, J. Antonio Aviña‐Zubieta, José A. Gómez‐Puerta

Bibliographic record

VenueAnnals of the Rheumatic Diseases · 2025
Typearticle
Languageen
FieldMedicine
TopicSalivary Gland Disorders and Functions
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineEpidemiologyCohortCohort studyPopulationDermatologyPediatricsEnvironmental healthInternal medicine

Abstract

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Background: The global prevalence of Sjögren's syndrome (SS) varies significantly depending on several factors, including classification criteria, study methodologies, and populations examined. A 2015 meta-analysis estimated the overall prevalence of SS at 60.82 per 100,000 inhabitants (95% CI: 43.69—77.94) and the pooled incidence rate at 6.92 per 100,000 person-years (95% CI: 4.98—8.86) [1]. In Spain, the EPISER-2016 study found a prevalence of 0.33% (95% CI 0.21—0.53) for SS [2]. These variations highlight the need for standardized diagnostic approaches and population-based studies to accurately determine SS prevalence. Objectives: To determine SS prevalence and incidence rates in Catalonia (Spain) from 2006 to 2021. Methods: We conducted a population-based cohort study using the Information System for Research in Primary Care (SIDIAP), a comprehensive database of electronic health records covering approximately 75% of the Catalan population. This database contains pseudo-anonymized data from over 8 million individuals collected by more than 30,000 healthcare professionals across 328 primary care centers since 2006. We identified all cases of SS in Catalonia diagnosed between January 1, 2006, and December 31, 2021, using the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes. The SIDIAP database has been previously validated and shown to be representative of the general Catalan population, making it a reliable tool for epidemiological research [3]. Prevalence rate was defined as the number of affected persons in the population at a specified time divided by the number of persons at that time. The numerator of prevalence rate was the number of persons, within 10-year age-sex groups, who met the definition of SS between January 1, 2006, and December 31, 2021, and alive and registered with the SIDIAP on Dec 31, 2021. Incidence rates by age and sex were obtained for the 1-year period between January 1, 2011, and December 31, 2021. Persons diagnosed with SS during the 5-year run-in period from Jan 1, 2006, until December 31, 2010 were not be eligible to become incident cases. Results: We identified 22,735 prevalent cases of SS in Catalonia. The mean age of patients was 62.44 years (SD 14.91), with a female predominance (86.16%, n=19,588). Most cases (68.38%) were of Spanish nationality, followed by Latin American countries (2.03%, n=463). The overall prevalence rate was 172.80 per 100,000 inhabitants (95% CI: 170.62—174.98). The prevalence in women (302.90 per 100,000) was significantly higher than in men (39.73 per 100,000), resulting in a female-to-male ratio of 7.6:1. Prevalence rates demonstrated a clear age-related pattern, with the lowest rate in the 18-29 age group (33.26 per 100,000) and peaking in the 60-69 age group (461.58 per 100,000) (Figure 1). We identified 13,736 incident cases of SS during the study period. The mean age at diagnosis was 63.81 years (SD 14.62), with a female predominance (84.54% of cases). The overall incidence rate was 22.42 per 100,000 person-years (37.54 per 100,000 for females and 6.93 per 100,000 for males). Incidence rates in Catalonia showed significant variation from 2011 to 2021 (Trend test Poisson model; 95% CI: 1.0358—1.0466; p<0.0001), peaking in 2021 at 35.26 per 100,000 inhabitants. The age distribution of incident cases revealed a peak in the 60-69 age group (25.52%), followed closely by the 70-79 (22.21%) and 50-59 (20.76%) age groups. Younger age groups had lower incidence rates: 18-29 (1.57%), 30-39 (4.83%), and 40-49 (11.08%) (Figure 2). Figure 1Prevalence rates of Sjögren Syndrome over time according to sex (A) and age groups (B). Figure 2Incidence rates of Sjögren Syndrome over time according to sex (A) and age groups (B). Conclusion: This study reveals higher prevalence (172.80 per 100,000) and incidence (22.42 per 100,000 person-years) rates of SS in Catalonia compared to previous reports from Spain and Europe. Further validation of these findings using standardized classification criteria is necessary to confirm the actual epidemiological burden of SS in Catalonia. REFERENCES: [1] Qin, B. et al. Ann. Rheum. Dis. 2015;74(11):1983-9. [2] Narváez J, et al. Sci Rep. 2020;10(1):10627. [3] Recalde M et al Int J Epidemiol. 2022;51(6):e324-e33. Acknowledgements: NIL . Disclosure of Interests: Juan Sarmiento-Monroy Abbvie, GSK, Astra Zeneca, Grünenthal, Novartis, Maria Grau: None declared, Cristian Tebe: None declared, Cristina Carbonell-Abella: None declared, Daniel Martinez-Laguna: None declared, Beatriz Frade-Sosa Novartis, Astra Zeneca, Abbvie, Alfasigma, Joshua Adolfo Peñafiel Sam: None declared, Patricia Corzo GSK, Astra Zeneca, Janssen, J. Antonio Aviña-Zubieta: None declared, José A Gómez-Puerta Astra Zeneca, Abbvie, GSK, Janssen, Lilly, Pfizer, Otsuka, Fresenius, Sanofi. © The Authors 2025. This abstract is an open access article published in Annals of Rheumatic Diseases under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Neither EULAR nor the publisher make any representation as to the accuracy of the content. The authors are solely responsible for the content in their abstract including accuracy of the facts, statements, results, conclusion, citing resources etc.

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.739

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.038
GPT teacher head0.345
Teacher spread0.307 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
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