Bone morphogenetic proteins & spinal surgery for degenarative disc disease: an evidence-based analysis.
Bibliographic record
Abstract
OBJECTIVE: This review is intended to summarize the evidence of safety and effectiveness of a recently licensed spinal fusion surgery device that includes a recombinant human bone morphogenetic protein (BMP). BONE MORPHOGENETIC PROTEINS: BMP are proteins that occur naturally in the matrix of human bone and stimulate bone growth. For spinal surgery, BMP must be delivered to the vertebral level where bone growth is desired. The BMP device currently available in Canada comprises a specific cage device and a bovine collagen sponge that delivers BMP. This sponge must be implanted in combination with this specific cage device from the same manufacturer. The device is marketed under the trade name INFUSE™ and provides an alternative to autologous bone graft in spinal fusion. REVIEW STRATEGY: Published literature identified through searches of MEDLINE and EMBASE was supplemented with material submitted by the device manufacturer as part of regulatory approval in the United States and available through the public access area of the website of the Food and Drug Administration. SUMMARY OF FINDINGS: Evidence submitted to regulatory bodies in the USA and Canada indicates that the INFUSE™ device appears safe. The largest number of spinal fusion cases using BMP devices has been for anterior lumbar interbody fusion. Although radiologic fusion occurs at a consistently faster rate among recipients of the BMP device than among recipients of autologous bone grafts, clinical outcomes (pain and disability) appear no different. Regardless of technique, improvements in pain and disability are reported by similar proportions of participants in all the arms of all the trials. BMP devices for cervical fusion have yet to be approved in Canada but one small scale trial has reported radiologic fusion in all participants in both BMP and autologous bone graft arms and improvement in neck pain scores for all participants. BMP devices for lumbar fusion are licensed, safe and appear equivalent to autologous bone graft procedures for spinal fusion in terms of patient outcomes with the notable exception that patients undergoing autologous bone graft report pain at the donor site. Laparoscopic approaches yield reductions in postoperative length of stay compared to conventional open approaches.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".