CHEMICAL AND PHARMACOLOGICAL PROPERTIES OF THE GENUS COPAIFERA IN THE TREATMENT OF INJURIES/WOUNDS: INTEGRATIVE REVIEW
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Objective: To identify chemical and pharmacological properties of Copaifera in the treatment of injuries and wounds. Method: Integrative literature review conducted in the LILACS, MEDLINE, PubMed, Taylor & Francis and Scopus databases in January 2022, using the search strategy: “Chemical Properties” AND “Copaifera” AND “Wounds and Injuries” and “Pharmacology” AND “Copaifera” AND “Wounds and Injuries.” Original articles, full text, identified according to level of evidence, written in Portuguese, English or Spanish, were included. Results: In the primary search 261 articles were found. After systematized selection, 12 studies were selected for qualitative analysis. Species of the genus Copaifera have pharmacological properties favorable for wound treatment: control of inflammatory pain, reduction of inflammatory reaction, tissue reepithelialization and repair, angiogenesis, wound retraction and scar remodeling. Among the chemical properties associated with the treatment of injuries, the presence of bioactive compounds stand out: diterpenes, 3-hydroxy-copalic, sesquiterpenes, kolavic-15-methyl ester. Among the tested diterpenes, kaurenoic and copalic acids showed significant hemolytic activities. Only copalic acid and hardwickiic acid inhibited nitric oxide production in lipopolysaccharide-activated macrophages. Conclusion: Plants of the genus Copaifera have chemical and pharmacological properties favorable for the treatment of injuries and wounds.
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.
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) | 0.000 | 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 it