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Record W2113993252 · doi:10.3899/jrheum.090876

Relationship Between Flare and Health-related Quality of Life in Patients with Systemic Lupus Erythematosus

2010· article· en· W2113993252 on OpenAlexvenueno aff
Tracy Y. Zhu, Lai‐Shan Tam, Vivian Lee, KK Lee, Edmund K. Li

Bibliographic record

VenueThe Journal of Rheumatology · 2010
Typearticle
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineQuality of life (healthcare)FlareDiseaseSystemic lupus erythematosusSystemic diseaseLupus erythematosusSeverity of illnessMultivariate analysisBayesian multivariate linear regressionInternal medicinePhysical therapyRegression analysisImmunology

Abstract

fetched live from OpenAlex

OBJECTIVE: To investigate (1) the relationship between flares and health-related quality of life (HRQOL) in Chinese patients with systemic lupus erythematosus (SLE) in Hong Kong; and (2) the influence of severity of flare, number of organs involved in flares, and manifestations of flares on HRQOL. METHODS: A retrospective study was performed on 303 patients with SLE. Participants completed the Medical Outcomes Survey Short-Form 36 (SF-36) and underwent clinical and laboratory examination to evaluate disease activity and damage. The total number and manifestations of flares during the preceding year were assessed retrospectively. Multiple linear regression analysis was used to identify the independent variables associated with impairment of HRQOL. RESULTS: Patients with flares were younger, had a shorter disease duration, and had higher disease activity at the time of the assessment. A total of 72 episodes of flares were recorded in 61 patients in the preceding year. Patients with flares had significantly lower scores in the areas of role limitation due to physical problems, general health, social function, and role limitation due to emotional problems compared with those without flare. The physical health summary scale was also lower in patients with flares. In the multivariate analysis, the presence of musculoskeletal flare was independently associated with all scales of the SF-36, except bodily pain and mental health. CONCLUSION: The low level of patients' HRQOL is mostly associated with the presence of musculoskeletal involvement.

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)0.005
metaresearch head score (Gemma)0.002
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 score0.052
Threshold uncertainty score0.428

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
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 integrity0.0000.001
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 head0.048
GPT teacher head0.324
Teacher spread0.276 · 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

Citations53
Published2010
Admission routes1
Has abstractyes

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