Low Socioeconomic Status (Measured by Education) and Outcomes in Systemic Sclerosis: Data from the Canadian Scleroderma Research Group
Bibliographic record
Abstract
OBJECTIVE: In systemic lupus erythematosus, socioeconomic status (SES) affects outcomes. SES can modify outcomes by altering timing of access to care and adherence. It is unknown whether SES affects systemic sclerosis (SSc) outcomes. Disease can affect income and cause work disability, thus education (completed long before SSc onset) may be a proxy for SES. METHODS: The Canadian Scleroderma Research Group collects annual data on patients with SSc. Baseline data were used from a prevalent cohort. Education was stratified by whether participants completed high school. Regression models assessed effects of education on organ complications and survival. RESULTS: In our study, 1145 patients with SSc had 11.0 ± 9.5 years' disease duration; 86% were women, with a mean age of 55.4 ± 12.1 years. About one-quarter did not complete high school; this was more common in older patients (p < 0.0001), men (p = 0.017), those with lower income (p < 0.0001), the unemployed (p < 0.054), smokers (p < 0.001), where DLCO was < 70% predicted (p = 0.009), in those with arthritis (p = 0.047), higher Health Assessment Questionnaire-Disability Index (p = 0.017), elevated erythrocyte sedimentation rate (p = 0.019), median C-reactive protein (p = 0.002), proteinuria (p = 0.016), steroid use ever (p = 0.039), and those more likely to have died in followup (12.7% vs 8.0%; p = 0.024). However, adjusting for confounders, there was no effect of education on mortality; whereas mortality was related to age, diffuse cutaneous SSc (dcSSc) subset, elevated pulmonary arterial (PA) pressure on echocardiography, low forced vital capacity expressed as percentage of predicted, and proteinuria (similar in the dcSSc subset and in limited cutaneous SSc), mortality was increased in older patients, those with elevated PA pressure, and those with low DLCO. CONCLUSION: Completing less education than high school was not associated with a worse prognosis in SSc after adjustment for confounding characteristics.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".