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Record W1990215535 · doi:10.3899/jrheum.080281

Quality of Life in Patients with Systemic Sclerosis Compared to the General Population and Patients with Other Chronic Conditions

2009· article· en· W1990215535 on OpenAlexafffundvenueabout
Marie Hudson, Brett D. Thombs, RUSSELL STEELE, Pantelis Panopalis, Evan G. Newton, Murray Baron

Bibliographic record

VenueThe Journal of Rheumatology · 2009
Typearticle
Languageen
FieldMedicine
TopicSystemic Sclerosis and Related Diseases
Canadian institutionsCanadian Institutes of Health ResearchMultiple Sclerosis Society of CanadaMcGill UniversityJewish General Hospital
FundersActelion PharmaceuticalsCanadian Institutes of Health ResearchPfizer
KeywordsMedicineQuality of life (healthcare)PopulationDepression (economics)SF-36Internal medicineDiabetes mellitusScleroderma (fungus)DiseasePhysical therapySystemic sclerodermaMental healthHealth related quality of lifePsychiatryPathology

Abstract

fetched live from OpenAlex

OBJECTIVE: Systemic sclerosis (SSc) affects multiple physical, psychological, and social domains and is associated with impaired health-related quality of life (HRQOL).We compared the HRQOL of SSc patients with individuals in the general population and patients with other common chronic diseases. METHODS: HRQOL of SSc patients in the Canadian Scleroderma Research Group registry was measured using version 2 of the Medical Outcomes Trust Short Form-36 (SF-36). Results were compared to US general population norms and scores reported for patients with other common chronic diseases, namely heart disease, lung disease, hypertension, diabetes, and depression. RESULTS: SF-36 scores were available for 504 SSc patients (86% women, mean age 56 yrs, mean disease duration since onset of first non-Raynaud's manifestation of SSc 11 yrs). The greatest impairment in SF-36 subscale scores appeared to be in the physical functioning, general health, and role physical domains. SF-36 subscale and summary scores in SSc were significantly worse compared to US general population norms for women of similar ages, except for mental health and mental component summary score, which were not significantly different, and were generally comparable to or worse than the scores of patients with other common chronic conditions. CONCLUSION: HRQOL of patients with SSc is significantly impaired compared to that of the general population and is comparable to or worse than that of patients with other common chronic conditions.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.005
Threshold uncertainty score0.161

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.020
GPT teacher head0.265
Teacher spread0.245 · 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

Citations73
Published2009
Admission routes4
Has abstractyes

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