Becaplermin: recombinant platelet derived growth factor, a new treatment for healing diabetic foot ulcers
Bibliographic record
Abstract
Chronic or non-healing lower extremity ulcerations in diabetics are a significant cause of morbidity and mortality, and account for a large proportion of the financial burden related to the care of diabetics. Lower extremity ulcerations develop primarily as a consequence of neuropathy and the goal in addressing any wound is to re-establish tissue integrity as soon as possible. The healing of wounds is a complex procedure involving multiple growth factors, some of which have multiple effects on different cell types, in particular, platelet derived growth factor (PDGF) is a prominent agent, active in all stages of the healing process. Becaplermin (0.01% Regranex gel) is a homodimeric protein produced by recombinant DNA technology through the insertion of the gene for the B chain PDGF into the yeast Saccharomyces cerevisiae. The biological activity of becaplermin is similar to that of indigenous PDGF-BB, specifically, the promotion of chemotactic recruitment and the proliferation of cells involved in wound repair. Becaplermin has undergone extensive animal and human studies, demonstrating that it is highly effective as an adjunctive measure for the healing of ulcerations in the feet of diabetics when used in conjunction with standard wound healing practices. Specifically these practices include the provision of a moist environment free of debris and necrotic tissue, control of infection and optimal weight displacement from the affected area. Becaplermin is safe and easy to use, being applied once-daily and at present, becaplermin is the only growth factor licensed for use in wound healing.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".