VEGF immunoexpression in the pituitaries of pregnant women
Bibliographic record
Abstract
Previous studies showed that in pregnancy the pituitary enlarges and increases in weight due to lactotroph hyperplasia. We demonstrated that in pituitaries of pregnant women, microvessel density is significantly increased compared to those of age– matched non pregnant women. Vascular endothelial growth factor (VEGF) stimulates new vessel formation in several tissues and neoplasms. The aim of the present study was to reveal whether VEGF is involved in the causation of increased vascularity in the pituitaries of pregnant women. We assessed VEGF immunoexpression in 20 autopsy obtained pituitaries of pregnant women and compared the results with 20 controls. Slides were immunostained for VEGF and pituitary hormones using the streptavidin‐biotin‐peroxidase complex method. VEGF immunoexpression was evaluated in 10 random high‐power fields using an image analyzer and the results compared by chi‐square or Fisher exact tests. Immunoexpression of VEGF was not increased in the adenohypophyses of pregnant women compared with the controls indicating that VEGF plays no major role in the causation of increased vascularity. The cause remains to be investigated.
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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 | 0.001 | 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".