MétaCan
Menu
Back to cohort
Record W1840783585 · doi:10.1002/art.38106

Headache in Systemic Lupus Erythematosus: Results From a Prospective, International Inception Cohort Study

2013· article· en· W1840783585 on OpenAlexafffund
John G. Hanly, Murray B. Urowitz, Aidan G. O’Keeffe, Caroline Gordon, Sang‐Cheol Bae, Jorge Sánchez‐Guerrero, Juanita Romero‐Díaz, Ann E. Clarke, Sasha Bernatsky, Daniel J. Wallace, Ellen M. Ginzler, David Isenberg, Anisur Rahman, Joan T. Merrill, Michelle Petri, Paul R. Fortin, Dafna D. Gladman, Barri J. Fessler, Graciela S. Alarcón, Ian N Bruce, Mary Anne Dooley, Kristján Steinsson, Munther A. Khamashta, Rosalind Ramsey‐Goldman, Susan Manzi, Gunnar Sturfelt, Ola Nived, Asad Zoma, Ronald van Vollenhoven, Manuel Ramos‐Casals, Cynthia Aranow, Meggan Mackay, Guillermo Ruiz‐Irastorza, Kenneth Kalunian, S. Sam Lim, Murat İnanç, Diane L. Kamen, Christine Peschken, Søren Jacobsen, Chris Theriault, Kara Thompson, Vernon T. Farewell

Bibliographic record

VenueArthritis & Rheumatism · 2013
Typearticle
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsMcGill University Health CentreMontreal General HospitalDalhousie UniversityUniversity of TorontoUniversité LavalQueen Elizabeth II Health Sciences CentreUniversity of ManitobaCentre hospitalier universitaire de QuébecToronto Western Hospital
FundersNational Institute of Arthritis and Musculoskeletal and Skin DiseasesCanadian Institutes of Health ResearchNational Institute for Health and Care ResearchNational Center for Research ResourcesWellcome Trust
KeywordsMedicineProspective cohort studyCohortSystemic diseaseLupus erythematosusCohort studyDermatologyInternal medicineImmunologyImmunopathologyAntibody

Abstract

fetched live from OpenAlex

OBJECTIVE: To examine the frequency and characteristics of headaches and their association with global disease activity and health-related quality of life (HRQOL) in patients with systemic lupus erythematosus (SLE). METHODS: A disease inception cohort was assessed annually for headache (5 types) and 18 other neuropsychiatric (NP) events. Global disease activity scores (SLE Disease Activity Index 2000 [SLEDAI-2K]), damage scores (Systemic Lupus International Collaborating Clinics/American College of Rheumatology Damage Index [SDI]), and Short Form 36 (SF-36) mental and physical component summary scores were collected. Time to first headache and associations with SF-36 scores were analyzed using Cox proportional hazards and linear regression models with generalized estimating equations. RESULTS: Among the 1,732 SLE patients enrolled, 89.3% were female and 48.3% were white. The mean ± SD age was 34.6 ± 13.4 years, duration of disease was 5.6 ± 5.2 months, and length of followup was 3.8 ± 3.1 years. At enrollment, 17.8% of patients had headache (migraine [60.7%], tension [38.6%], intractable nonspecific [7.1%], cluster [2.6%], and intracranial hypertension [1.0%]). The prevalence of headache increased to 58% after 10 years. Only 1.5% of patients had lupus headache, as identified in the SLEDAI-2K. In addition, headache was associated with other NP events attributed to either SLE or non-SLE causes. There was no association of headache with SLEDAI-2K scores (without the lupus headache variable), SDI scores, use of corticosteroids, use of antimalarials, use of immunosuppressive medications, or specific autoantibodies. SF-36 mental component scores were lower in patients with headache compared with those without headache (mean ± SD 42.5 ± 12.2 versus 47.8 ± 11.3; P < 0.001), and similar differences in physical component scores were seen (38.0 ± 11.0 in those with headache versus 42.6 ± 11.4 in those without headache; P < 0.001). In 56.1% of patients, the headaches resolved over followup. CONCLUSION: Headache is frequent in SLE, but overall, it is not associated with global disease activity or specific autoantibodies. Although headaches are associated with a lower HRQOL, the majority of headaches resolve over time, independent of lupus-specific therapies.

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)0.001
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 score0.045
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.014
GPT teacher head0.273
Teacher spread0.259 · 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

Citations114
Published2013
Admission routes2
Has abstractyes

Explore more

Same venueArthritis & RheumatismSame topicSystemic Lupus Erythematosus ResearchFrench-language works237,207