Is there a difference in the perception of symptoms between african americans and whites with osteoarthritis?
Bibliographic record
Abstract
OBJECTIVE: To determine if there is a difference in the perception of pain and functional disability between African Americans and Whites at any given radiographic severity of osteoarthritis (OA). Ethnic differences in utilization of joint replacement may reflect differences in the perception of symptoms of OA. METHODS: A cross-sectional survey included 596 male veterans (44% African Americans and 56% Whites) with chronic moderate to severe knee and/or hip pain at the General Medicine Clinics. The average age of the total cohort was 65.63 +/- 9.5 years. The Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) for pain and function were the primary outcome measures of interest. All knee and or hip radiographs were graded using the Kellgren-Lawrence (K/L) grading system. RESULTS: African Americans and Whites were comparable with respect to age (65 +/- 9.5 vs 66 +/- 9, respectively); body mass index > or = 30 kg/m2 (53.9% vs 58.8%); Lequesne severity score (11 +/- 4 vs 11 +/- 4); geriatric depression score (4.5 +/- 3.3 vs 5.0 +/- 3.8) and Charlson Comorbidity Index (2.3 +/- 2 vs 2.5 +/- 2). African Americans had lower socioeconomic status with fewer high school graduates (57% vs 71%, p = 0.001), lower employment rate (8.4% vs 14.7%, p = 0.017), and lower total household incomes (41.4% vs 20.4% reported income < $10,000, p = 0.000). African Americans and Whites were not different in mean scores for WOMAC pain and WOMAC function when stratified by joint space narrowing, osteophyte and Kellgren Lawrence grades. After controlling for important covariates, ethnicity was not a significant predictor of WOMAC pain and function. CONCLUSION: In this sample of male veterans, African Americans and Whites perceived the same degree of pain and functional difficulties at any given radiographic severity of OA. Differences in the perception of symptoms cannot explain the observed ethnic disparity in utilization of joint replacement.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".