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Record W2342883233 · doi:10.1177/0961203315617845

Antimalarials as a risk factor for elevated muscle enzymes in systemic lupus erythematosus

2015· article· en· W2342883233 on OpenAlexaff
Konstantinos Tselios, Dafna D. Gladman, Jiandong Su, Murray B. Urowitz

Bibliographic record

VenueLupus · 2015
Typearticle
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsToronto Western HospitalUniversity of Toronto
Fundersnot available
KeywordsMedicineRisk factorImmunologySystemic lupus erythematosusEnzymeSystemic lupusInternal medicineBiochemistryDisease

Abstract

fetched live from OpenAlex

OBJECTIVE: To investigate the relationship between antimalarials (AM) and elevated muscle enzymes in systemic lupus erythematosus (SLE). PATIENTSMETHODS: 325 lupus patients with abnormal creatine phosphokinase (CPK) for at least two consecutive clinic visits were enrolled; 54 patients on statins/fibrates (n = 43) and/or active myositis (n = 14) were excluded. The control group consisted of 1453 lupus patients with no CPK elevation during follow-up. Descriptive statistics and Cox regression analyses were performed, p < 0.05 was considered significant. RESULTS: Cases and controls did not differ regarding age at SLE diagnosis, gender ratio, or disease duration. AM use was more frequent in cases, which had more prolonged AM use. Total frequency of elevated CPK in AM users was 216/1322 (16.3%). Chloroquine was associated with a 3.3-fold, and hydroxychloroquine with a 3.1-fold, increased risk for CPK elevation. Black race was associated with higher CPK (HR = 2.941), whereas female gender was protective (HR = 0.697). 203 patients were followed for 7.3 ± 5.6 years; 49.8% had persistent and 14.8% intermittent CPK elevation, while in 35.4% CPK was normalized. Clinical proximal muscle weakness developed in 5/203 patients. CONCLUSIONS: Chronic AM use is a potential risk factor for muscle enzyme elevation in SLE patients. CPK abnormalities persist in almost two thirds of the patients, but this remains mainly a biochemical finding, evolving to clinical myopathy in about 2.5%.

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)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.923
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.045
GPT teacher head0.323
Teacher spread0.278 · 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

Citations22
Published2015
Admission routes1
Has abstractyes

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