The Effect of Platelet Rich Plasma on Hair Re‐growth in Patients with Alopecia Areata Totalis: a Clinical Pilot Study
Bibliographic record
Abstract
Autologous rich plasma (PRP) is blood plasma with enhanced concentration of platelets and is enriched with several growth factors which stimulate tissue regeneration. The current study aimed to investigate the effect of PRP on hair regrowth in patients with alopecia areata (AA) totalis. Ten subjects (28.9 ± 6.28 years; five males and five females) with clinically diagnosed AA totalis for at least 3 years who had not received any treatment within 3 months prior to the study were recruited. Blood sample was collected in thrombocyte harvesting tubes. The PRP was separated via centrifugation. The patients' scalp was divided sagittally into two approximately equal parts. In each patient, 4 mL of PRP was injected intradermally into the left or right side of the scalp; in each point, 0.1 mL of PRP was injected. Each patient was followed up monthly for 4 months. No hair regrowth was seen in eight patients and in two patients only <10% hair regrowth was observed. Totally, no significant effect was found for PRP on hair regrowth (p > .05). There was no side effect during treatment. Single dermal PRP injection did not prove to have any effect on hair regrowth in these patients.
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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 | 0.001 |
| 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) | 0.001 | 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 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".