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Record W2146842513 · doi:10.1093/rheumatology/keh580

The systemic lupus erythematosus tri-nation study: longitudinal changes in physical and mental well-being

2005· article· en· W2146842513 on OpenAlexaffabout
Peter Panopalis, Michelle Petri, S Manzi, David Isenberg, Caroline Gordon, Jean‐Luc Senécal, J.R. Penrod, L. Joseph, Y. St. Pierre, Christian A. Pineau, Paul R. Fortin, Nurhan Sutcliffe, J. R. Goulet, D. Choquette, Tamara Grodzicky, John M. Esdaile, AE Clarke

Bibliographic record

VenueLara D. Veeken · 2005
Typearticle
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsUniversité de MontréalUniversity of British ColumbiaMcGill UniversityUniversity of TorontoMontreal General Hospital
FundersNational Institute of Arthritis and Musculoskeletal and Skin DiseasesNational Center for Research ResourcesU.S. Public Health ServiceWellcome Trust
KeywordsMedicineRheumatologyQuality of life (healthcare)Internal medicineSystemic lupusSystemic lupus erythematosusMental healthPhysical therapyPsychiatryNursingDisease

Abstract

fetched live from OpenAlex

OBJECTIVE: We have shown that SLE patients in Canada and the UK incurred 20% and 13% lower health costs than those in the US, respectively, but did not experience worse outcomes as expressed by the Systemic Lupus International Collaborating Clinics/American College of Rheumatology Damage Index. We now compare change in quality of life in these patients. PATIENTS AND METHODS: Seven hundred and fifteen SLE patients (Canada 231, US 269, UK 215) completed the SF-36 annually over four years. The annual change in the SF-36 Physical and Mental Component Summary (PCS and MCS) scores over the course of the study were summarized by estimating a linear trend for each individual patient using hierarchical modelling. Cross-country comparison of the slopes in the PCS and MCS scores was then performed using simultaneous regressions. RESULTS: The estimated mean annual changes (95% credible interval [CrI]) in the PCS scores in Canada, the US, and the UK were 0.18 (-0.07, 0.43), -0.05 (-0.27, 0.17), and 0.03 (-0.20, 0.27), respectively; the mean annual changes in the MCS scores were 0.15 (-0.04, 0.34), 0.23 (0.09, 0.37), and 0.08 (-0.10, 0.27), respectively. Regression results showed that the mean annual changes in PCS and MCS scores did not substantially differ across countries. CONCLUSION: Quality of life remained stable across countries. Despite Canadian and British patients incurring lower health costs, on average, patients experienced similar changes in physical and mental well-being.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.710
Threshold uncertainty score0.603

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.024
GPT teacher head0.306
Teacher spread0.282 · 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".

Quick stats

Citations51
Published2005
Admission routes2
Has abstractyes

Explore more

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