Jaw Bone Samples From Bisphosphonate‐Treated Patients: A Pilot Cohort Study
Bibliographic record
Abstract
UNLABELLED: Osteonecrosis of the jaw (ONJ) is a severe complication of bisphosphonate treatment. PURPOSE: A detailed characterization of sampled peri-necrotic jawbone from bisphosphonate-treated patients was performed at tissue and cellular level (histological analyses and gene expression). MATERIALS AND METHODS: Alveolar bone samples were collected from patients with (n = 5) and without ONJ (n = 5). Healthy patients served as controls (n = 10). RESULTS: The histological analysis demonstrated low to moderate inflammation, displaying areas of inflammatory infiltrate in the bone marrow. Multinuclear giant cells and osteoclasts were found in both groups. Markers of bone formation (alkaline phosphatase, Col1a1, and osteocalcin), bone resorption (receptor activator of NF-kappaB ligand [RANKL], osteoprotegerin [OPG], tartrate-resistant acid phosphatase, and cathepsin K), inflammation (tumor necrosis factor-alpha, interleukin [IL]-1β, and IL-6), angiogenesis (vascular endothelial growth factor A), and apoptosis (Casp3, Casp8, p53, and Smac) were evaluated. Nonparametric statistical tests were used to identify differences between the groups. In patients with ONJ, the expression level of the proinflammatory marker IL-1β was strongly up-regulated compared with controls (p = .040). CONCLUSIONS: A down-regulated expression of Casp8 compared with controls was observed (p = .014) in patients treated with bisphosphonates. The RANKL/OPG ratios were similar in the three groups. The results indicate a need to further investigate the molecular mechanisms involved in the course of ONJ related to antiresorptive treatment.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".