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Record W1760108874

The effect of menopause on disease activity in systemic lupus erythematosus.

2006· article· en· W1760108874 on OpenAlexaffabout
Murray B. Urowitz, Dominique Ibañez, Dana Jerome, Dafna D. Gladman

Bibliographic record

VenuePubMed · 2006
Typearticle
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsToronto Western HospitalUniversity of Toronto
Fundersnot available
KeywordsMedicineMenopauseSystemic lupus erythematosusInternal medicineRheumatologyCohortLupus erythematosusDiseaseGroup BImmunology
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To determine the effect of menopause on disease activity and course of systemic lupus erythematosus (SLE). METHODS: Patients were identified from the University of Toronto lupus clinic database. Menopause was diagnosed on the basis of 12 months of amenorrhea. A 3 part study was carried out. Part 1 included an inception cohort of 190 women with SLE diagnosed in the premenopausal years (Group A) and an inception cohort of 55 women with SLE diagnosed in the postmenopausal years (Group B), both followed for a minimum of 3 years. Part 2 included 49 patients followed in the clinic for at least 3 years before and 3 years after their menopause (Group C). Part 3 included 193 patients followed for 6 years entirely in the premenopausal period (Group D) and 76 patients followed for 6 years entirely in the postmenopausal period (Group E). Disease activity was measured by the SLE Disease Activity Index 2000 (SLEDAI-2K) and the adjusted mean SLEDAI-2K (AMS). Damage was assessed by the Systemic Lupus International Collaborating Clinics/American College of Rheumatology (SLICC/ACR) damage index. Comparisons were made using t-tests and chi-square and McNemar tests. A multivariate linear regression model was used to establish the impact of menopausal status on change in disease related features. RESULTS: In the first 3 years of disease, AMS was higher in Group A than Group B (6.6 +/- 3.8 vs 5.0 +/- 3.3, p = 0.003). Damage accrual was higher in Group B than in Group A both in the first year and at 3 years. For Group C, AMS and the number of flares per 3 year interval were lower in the postmenopausal period. SLICC/ACR damage index was greater during the 3 years in the postmenopausal period then in the premenopause (p = 0.006). SLEDAI-2K was higher among Group D than Group E at the start of the study (6.71 vs 4.86, p = 0.04). AMS for the 6 years was higher in the premenopausal than postmenopausal women (5.14 vs 3.54, p </= 0.0001), however, the magnitude of change in the first and second 3 year periods was not different between Group D and E. The 3 year AMS of patients in Groups C, D, and E was plotted by age and menopausal status. The slopes of AMS in the pre- and postmenopausal periods were identical, indicating that time and not menopausal status is associated with the decrease in disease activity. On the other hand, SLICC damage index showed a greater damage in postmenopausal women at any of the time points of the study. To further delineate the effect of menopausal status on changes in disease activity and damage, multiple linear regressions were performed including age at diagnosis, disease duration, and SLEDAI-2K at presentation as independent variables. No changes in AMS, number of flares, or SLICC/ACR damage index score were associated with the menopausal status. CONCLUSION: Although premenopausal women with SLE have more disease activity than postmenopausal women with SLE, we have shown that there is a constant rate of improvement over time, be it in the premenopause, across the menopause, or postmenopause. This improvement is not due to change in menopausal status. Thus clinicians should not be anticipating the postmenopausal era in a patient's course as a period of natural disease improvement.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.491

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.012
GPT teacher head0.254
Teacher spread0.242 · 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

Citations54
Published2006
Admission routes2
Has abstractyes

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