Chapter 11-Bone Morphogenetic Protein (BMP) Implants as Bone Graft Substitutes-Promises and Challenges
Bibliographic record
Abstract
BONE MORPHOGENETIC PROTEINS (BMPS) ARE GROWTH and differentiation factors originally isolated from bone matrix based on their ability to induce new bone formation in vivo, and form a large family of proteins structurally related to TGF-βs and activins. Recombinant human BMP, when implanted with an appropriate carrier matrix at defect sites, is capable of inducing new bone formation and restoring the lost bone by initiating a cellular process that mirrors embryonic bone formation. BMP containing osteogenic devices have been shown to be efficacious for the treatment of delayed and non-union fractures of long bone and anterior inter-body fusions of the spine and have been found to be equivalent to that of autograft in prospective, randomized, controlled and multicentered clinical trials. Recently, regulatory agencies in USA, Europe, Canada, and Australia have approved BMP-7 (OP-1™) and BMP-2 (InFuse™) containing osteogenic devices as bone graft substitutes for the treatment of long bone fractures and inter-body fusions in the spine. BMP is the first recombinant protein approved for orthopedic use and thus offers significant promise in the field of regenerative medicine.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.026 | 0.017 |
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".