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Record W1520485449 · doi:10.1186/ar3954

Rising prevalence of systemic autoimmune rheumatic disease: increased awareness, increased disease or increased survival?

2012· article· en· W1520485449 on OpenAlexafffund
Christine Peschken, CA Hitchon

Bibliographic record

VenueArthritis Research & Therapy · 2012
Typearticle
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsUniversity of Manitoba
FundersNational Institutes of HealthCanadian Arthritis NetworkNational Institute of Arthritis and Musculoskeletal and Skin DiseasesArthritis SocietyLupus Research AllianceArthritis Foundation
KeywordsRheumatologyMedicineDiseaseInternal medicineRheumatic diseaseAutoimmune diseaseImmunology

Abstract

fetched live from OpenAlex

The reported prevalence of systemic autoimmune rheumatic disease (SARD) varies markedly worldwide depending on case definitions and population studied. Administrative healthcare databases provide comprehensive longitudinal datasets to estimate changing trends, but their accuracy for identifying SARD must be established, given their use for billing purposes and the diagnostic uncertainty inherent in the disease. In a stable population of over 900,000 adults, we used hospital and physician claims from a large administrative database using two different case definitions for the 5-year period prevalence of SARD from 1995 to 2010. For each 5-year interval, the mid-year population was used as the denominator. For physician claims, we identified SARD using The International Classification of Diseases (ICD)-9 Code 710. For hospital claims we identified SARD using the ICD-9 Code 710 from 1995 to 2004, and the ICD-10 Code M32 from 2004 onwards. Two case definitions were used: ≥5 claims ever for SARD by any physician, or ≥2 SARD claims ≥2 months apart from a specialist within the 5-year period. Prevalence rates by age (18 to 30; 31 to 50; and >50 years) and sex were calculated. The healthcare database was linked with a prescription database, and the proportion of patients treated with glucocorticoids, antimalarials and immunosuppressives was calculated. The prevalence rate for SARD ranged from 0.08 to 0.013% in 1995 to 2000, and rose to 0.13 to 0.16% in 2005 to 2010, depending on the case definition of SARD. Prevalence rates for females aged >50 rose from 0.25% in 1995 to 2000 to 0.36% in 2005 to 2010, while all other age and sex groups remained stable (Figure 1 ). The proportion of patients receiving glucocorticoid prescriptions declined slightly from 64% in 1995 to 60% in 2010, while the proportion of antimalarial, moderate and severe immunosuppressive prescriptions increased: 43 to 56%; 24 to 44%; and 3.6 to 6.6% respectively. Rheumatology manpower in the region doubled from 0.47 to 1.2/100,000 from 1995 to 2010. Prevalence of SARD by age and sex . We found a rise in the prevalence of SARD over the 15-year period. This may reflect improved survival, given the rising rate in females >50, or improved ascertainment due to increasing awareness of SARD among physicians, and increased rheumatology manpower. This study also illustrates changing treatment patterns with less use of glucocorticoids and greater use of antimalarials and immunosuppressives, which may contribute to improved survival. Further attempts at determining diagnostic accuracy and disease outcomes in this population using linkages with clinical databases are underway.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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)0.010
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.060
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.070
GPT teacher head0.369
Teacher spread0.299 · 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.

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".

Quick stats

Citations7
Published2012
Admission routes2
Has abstractyes

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