Low back pain and radiographic severity as predictors in hip osteoarthritis patients receiving steroid injection therapy
Bibliographic record
Abstract
Introduction: We investigated the effects of lower back pain (LBP) on measures of pain, disability, and function in highly symptomatic hip OA patients receiving intra-articular steroid injection (IASI) therapy. We also investigated the effect of radiographic severity of hip OA for comparison to LBP. Methods: 97 consenting subjects with symptomatic hip OA presenting for IASI were evaluated at baseline, assessed over an 8-week period, and followed at least 1 year later for new arthroplasty. At baseline and 8 weeks follow-up patient demographics, presence/absence of back pain, physical function tests, a single anteroposterior pelvis x-ray, and subjective scores of pain, stiffness and function (VAS and WOMAC) were collected. We also followed which subjects proceeded to obtain total hip arthroplasty in the examined hip. Results: Cohorts with LBP reported significantly worse scores for all of VAS pain and WOMAC questionnaires but showed no difference in ROM and were not more likely to proceed to arthroplasty. Cohorts with severe radiographic OA had significantly worsened scores for stiffness (χ 2 = 6.74, p = 0.009), decreased ROM ( p < 0.01), and were more likely to proceed to arthroplasty (χ 2 = 9.79, p = 0.044). Discussion: Back pain has a substantial effect on clinical parameters relevant to assessment of severity of hip OA, especially self-reported pain and function. This finding highlights LBP as a significant confounding factor in hip OA patient assessments and will inform future studies to determine the most effective treatment strategies for hip OA patients.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".