EFFECT OF ALENDRONATE-CONTAINING COATINGS ON OSTEOINTEGRATION INTO POROUS TANTALUM IN A CORTICAL BONE MODEL
Bibliographic record
Abstract
Hip replacement is extensively performed in hips with serious damages. The clinical outcomes of hip implants remain to be improved. Local delivery of bisphosphonates may improve implant fixation by positively affecting local bone modeling. In this study, two alendronate-containing coatings were prepared on porous tantalum by electrolytic deposition. Calcium phosphate coating was deposited and adsorbed with alendronate; the resulting coating had a low drug dose and slow release rate. Solid calcium alendronate coating was also deposited on tantalum; the resulting coating had high drug dose and faster release rate. The effects of the two coatings on new bone formation and implant fixation were studied in the rabbit tibial cortex. Four weeks after implantation, the implants with adsorbed alendronate showed the highest total new bone formation and mechanical fixation, whereas the implants with solid drug coating showed slightly lower fixation and total new bone formation than control bare implants. The improvement by the alendronate-adsorbed calcium phosphate coating provides potentials of enhancing early fixation of porous implants. The solid drug coating warranted further studies to exploit its high drug dose for inhibiting future osteolysis.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.000 | 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 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".