Serum vascular endothelial growth factor as a possible marker for early ectopic pregnancy
Bibliographic record
Abstract
BACKGROUND: This study evaluated serum vascular endothelial growth factor (VEGF) concentrations in women with normal intrauterine pregnancy (IUP), arrested IUP and ectopic pregnancy (EP). METHOD: This was a prospective, case-control study evaluating serum VEGF concentrations among 45 early pregnant women who subsequently were found to have an EP, a normal IUP or an arrested IUP (15 women in each group). Patients were stratified according to serum VEGF concentrations above and below 200 pg/ml. RESULTS: There was a significant difference in VEGF concentrations among women with EP, arrested IUP and normal IUP (306.1 +/- 26.5, 169.7 +/- 16.6 and 27.0 +/- 4.4 pg/ml respectively, P < 0.001). With a cut-off concentration of 200 pg/ml, serum VEGF could distinguish normal IUP from EP with a sensitivity of 88%, a specificity of 100% and a positive predictive value of 100%. Between EP and arrested IUP, the sensitivity was 87.5%, specificity 75% and positive predictive value of 77.8%. CONCLUSIONS: VEGF is a potential marker for EP. Its concentrations in women with EP are higher than in those with normal and arrested IUP.
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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 | 0.001 | 0.003 |
| 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) | 0.001 | 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".