Mature and inactive microvessels are prominent in areolar synovium of femoroacetabular impingement and hip osteoarthritis patients
Bibliographic record
Abstract
Objective To provide insight into the earliest changes in hip osteoarthritis (OA) pathogenesis. Histopathology of synovium was investigated in patients with femoroacetabular impingement (FAI), FAI with early hip osteoarthritis, and advanced hip osteoarthritis. Methods Synovium biopsies were collected from ten FAI, fourteen FAI with early osteoarthritis, and twelve advanced osteoarthritis patients. Histopathological grading allowed assessment of osteoarthritis-associated features. Microvessel density and maturity were determined through immunofluorescent labelling of CD31 and α-smooth muscle actin. Immunohistochemical staining was applied to calculate CD105 + microvessel density, providing insight into microvessel activity. Results In all groups, vascularization was prominent, with a mean [95 % confidence interval] of 1.64 [1.40, 1.89]. In all three groups, mature microvessel density was greater than immature microvessel density (82.32 [62.92, 101.71] versus 14.84 [9.86, 19.83] microvessels/mm 2 ). Low CD105 + microvessel density across all groups (3.14 [0.92, 5.37] microvessels/mm 2 ) suggests microvessel inactivity. Inflammatory composite scores were significantly greater in the advanced OA (1.08 [0.84, 1.32]) versus the FAI group (0.47 [0.26, 0.68]), and in the advanced OA versus the FAI with early OA group (0.69 [0.49, 0.89]) (p < 0.017). Conclusion Synovium from patients with FAI (with and without hip osteoarthritis) demonstrated synovitis and other OA-associated changes. Mature, inactive microvasculature was prominent in all three groups investigated. Histopathological similarities between FAI and hip OA synovium indicate that disordered synovium appears in FAI patients. These findings highlight a potential role of synovial changes in the progression from FAI to hip OA, underscoring the need for early intervention and further investigation into early disease mechanisms.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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 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".