Bibliographic record
Abstract
Wounds are a disruption to the continuity of cells that is repaired through well-coordinated steps including inflammation, proliferation and extra-cellular matrix (ECM) remodeling. Often these processes are dysregulated, resulting in either impaired wound healing seen in chronic diabetic wounds, or excessive healing seen in hypertrophic scarring. The serotoninergic system is historically known for its action in the central and peripheral nervous systems, but its role in wound healing is recently coming to light. Serotonin (5HT) has an important role in the promotion of wound healing, particularly in the inflammatory and proliferative stages. In this review, we discuss the role of serotonergic agents and serotonin receptor antagonists in wound healing. Moreover, we discuss the potential mechanisms of actions, and the advantages and limitations of these drugs in the treatment of acute wounds, chronic wounds, and hypertrophic scarring. Since the effects of the serotoninergic pathway in the context of wound healing is largely unexplored, we also discuss where future research in the field is warranted.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 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".