The use of bone morphogenetic protein-2 compared with platelet-derived growth factor for the treatment of nonunion
Bibliographic record
Abstract
Aims: The management of nonunions continues to challenge orthopaedic surgeons. The application of growth factors represents a potential strategy to promote healing in such patients. The aim of this study was to compare two commercially available growth factors, bone morphogenetic protein-2 (BMP-2) and platelet-derived growth factor (PDGF), to assess their individual and relative efficacy in a small animal model of nonunion. Methods: A total of 50 male Fischer 344 rats received one of five forms of treatment for a femoral diaphyseal defect: 1) control; 2) PDGF carrier; 3) PDGF treatment; 4) BMP-2 carrier; and 5) BMP-2 treatment. After ten weeks, radiographs were assessed for bone formation and union, with the femora being subjected to micro-CT analysis and biomechanical testing. Results: BMP-2 treatment resulted in a 100% rate of radiological union. This was significantly different from all other groups (p < 0.05), with a correspondingly significantly higher mean radiological score than the PDGF treatment group (p =0.004). Similarly, micro-CT analysis demonstrated a significantly increased mean bone volume and bone volume fraction with BMP-2 treatment compared with PDGF (p < 0.01). Under mechanical testing, the BMP-2 treatment group also demonstrated significantly increased maximum stiffness compared with all other groups (p < 0.05), with significantly increased ultimate torque and yield point compared with the PDGF treatment group (p < 0.001). Conclusion: BMP-2 treatment resulted in significantly improved healing compared with PDGF treatment in a small animal model of nonunion, using clinically relevant carriers. BMP-2 may thus be superior to PDGF in the treatment of nonunions and segmental bony defects.
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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 | 0.001 | 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 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".