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Record W2883947536 · doi:10.1002/art.40674

How Do Patients With Newly Diagnosed Systemic Lupus Erythematosus Present? A Multicenter Cohort of Early Systemic Lupus Erythematosus to Inform the Development of New Classification Criteria

2018· article· en· W2883947536 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueArthritis & Rheumatology · 2018
Typearticle
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineRheumatologyInternal medicineSystemic lupus erythematosusCohortLeukopeniaLupus erythematosusAnemiaSerologyDiseaseGastroenterologyImmunologyAntibody

Abstract

fetched live from OpenAlex

Objective Systemic lupus erythematosus ( SLE ) presents with nonspecific signs and symptoms that are also found in other conditions. This study aimed to evaluate manifestations at disease onset and to compare early SLE manifestations to those of diseases mimicking SLE . Methods Academic lupus centers in Asia, Europe, North America, and South America collected baseline data on patients who were referred to them during the previous 3 years for possible SLE and who had a symptom duration of <1 year. Clinical and serologic manifestations were compared between patients diagnosed as having SLE and those diagnosed as having SLE ‐mimicking conditions. Diagnostic performance of the 1997 American College of Rheumatology ( ACR ) SLE classification criteria and the 2012 Systemic Lupus International Collaborating Clinics ( SLICC ) SLE classification criteria was tested. Results Data were collected on 389 patients with early SLE and 227 patients with SLE ‐mimicking conditions. Unexplained fever was more common in early SLE than in SLE ‐mimicking conditions (34.5% versus 13.7%, respectively; P < 0.001). Features less common in early SLE included Raynaud's phenomenon (22.1% versus 48.5%; P < 0.001), sicca symptoms (4.4% versus 34.4%; P < 0.001), dysphagia (0.3% versus 6.2%; P < 0.001), and fatigue (28.3% versus 37.0%; P = 0.024). Anti–double‐stranded DNA , anti–β 2 ‐glycoprotein I antibodies, positive Coombs’ test results, autoimmune hemolytic anemia, hypocomplementemia, and leukopenia were more common in early SLE than in SLE ‐mimicking conditions. Symptoms detailed in the ACR and SLICC classification criteria were significantly more frequent among those with early SLE . Fewer patients with early SLE were not identified as having early SLE with use of the SLICC criteria compared to the ACR criteria (16.5% versus 33.9%), but the ACR criteria demonstrated higher specificity than the SLICC criteria (91.6% versus 82.4%). Conclusion In this multicenter cohort, clinical manifestations that could help to distinguish early SLE from SLE ‐mimicking conditions were identified. These findings may aid in earlier SLE diagnosis and provide information for ongoing initiatives to revise SLE classification criteria.

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.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.600
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.020
GPT teacher head0.277
Teacher spread0.257 · 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