Impact of Arteriogenesis in Plastic Surgery: Choke Vessel Growth Proceeds via Arteriogenic Mechanisms in the Rat Dorsal Island Skin Flap
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: We examined the molecular mediators of postoperative choke-vessel growth. Our focus was the possible overlap between choke-vessel growth and arteriogenesis. METHODS: A rat perforator flap model, encompassing four vascular territories, was used. Flaps were surgically elevated, re-inset, and allowed to survive for one, three, five, or seven days. Tissue samples for Western and histological analyses were collected from the choke zone along the dorsal midline. Tissue from territories linked by the choke zone was analyzed to distinguish between global and local effects. The proteins examined included CD11b, ICAM-1, and MMP-2, three markers associated with arteriogenesis, as well as Hsp70 and vascular endothelial growth factor, markers of physiological stress and hypoxia/ischemia. RESULTS: Arteriogenesis markers, as shown by Western analysis, increased at three and five days after flap elevation, and the increase was localized by immunohistochemistry to the growing arteries and veins. The marker of physiological stress increased at Days 5 and 7. The hypoxia-ischemia marker did not increase in the choke zone. CONCLUSIONS: The growth of choke arteries and veins proceeds in an inflammatory environment that resembles arteriogenesis. Ischemia did not appear to play a role in choke-vessel changes.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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