The effect of platelet-rich plasma in patients with early hip osteoarthritis: a pilot study
Why this work is in the frame
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Bibliographic record
Abstract
Abstract We investigate whether platelet-rich plasma (PRP) injections can improve symptoms and function in patients with mild to moderate osteoarthritis (OA). Data were prospectively collected and retrospectively reviewed for all patients receiving PRP intra-articular hip injections between February 2017 and June 2017. The inclusion criteria were patients with a well-preserved joint space (Tönnis 0 or 1) whose magnetic resonance imaging (MRI) findings demonstrated degenerative joint disease or a Tönnis grade of 2. The patient-reported outcomes (PROs) used were the modified Harris Hip Score (mHHS), Hip Outcome Score-Activities of Daily Living Subscale (HOS-ADL), Hip Outcome Score-Sports Specific Subscale (HOS-SSS), International Hip Outcome TOOL (iHOT-12), Single Assessment Numeric Evaluation (SANE) and Mental and Physical aspects of the Veteran RAND 12 Item Health Survey (VR-12M and VR-12P). The visual analog scale (VAS) was utilized to indicate pain. Nine patients (11 hips) were eligible for inclusion. All PROs and VAS improved from pre- to post-injection. These improvements were present at the 3-month follow-up visit and stable until the 12-month follow-up. There was statistically significant improvement for mHHS (P < 0.001), HOS-ADL (P = 0.006), iHOT-12 (P = 0.003) and VR-12M (P = 0.005) at 12 months post-injection. Similarly, VAS improved from 4.1 to 2.3, although the change was not statistically significant. PRP injections significantly improved PROs in all measured scales at time points up to a year after intervention, except for VR-12P and HOS-SSS. In conclusion, patients with early OA of the hip had significant improvement of patient-reported functional outcomes up to 12 months after PRP intra-articular injections.
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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 | 0.001 | 0.001 |
| 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) | 0.000 | 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 it