Is it Possible to Use a Platelet Rich Plasma (PRGF-ENDORET®) in Case of Oral Metastatic Lesions?
Bibliographic record
Abstract
Aim of the present study is to describe the surgical treatment of a metastatic lesion in mandibular region derived from a prostatic cancer in an old patient, and the benefits of the PRGF®-Endoret®, a particular kind of Platelet Rich Plasma (PRP), on healing processes. The old patient was in a very bad conditions with several medical pathologies, as congestive cardiopathy and chronic kidney distress. Moreover, he was treated with zolendronic acid to block the metastatic bone lesions, a drug that increases the risks to have a BRONJ (bisphosphonates related osteonecrosis of the jaws): in fact, the mandibular lesion was associated with bone necrosis and neuropathic pain from the right mandible to the right ear along the path of the lower alveolar nerve. Moreover, bisphosphonates drugs normally disturb the healing processes of the oral mucosae and gums. The use of PRGF®-Endoret® during the surgical treatments of this case helped to solve the mandibular lesion avoiding the risk of a bad healing. Furthermore, this case shows that in selected cases it is possible to use a PRPs as PRGF®-Endoret® after removal metastatic lesions despite these autologous biomaterials can promote the cancer cells growth. Anyway, in these kinds of problems, the selection of the patients, their life expectancy and their clinical conditions are very important to decide if the benefits are more than the risks associated to the use of PRP. However more studies are necessary to confirm the possibility to use the PRP in the surgical treatment of the cancer or metastatic lesions, exactly because these biomaterials can induce a worsening of the cancer prognosis.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".