Comprasion of Ovarian Stromal and Uterin Artery Blood Flow Measured by Color Doppler Ultrasonography in Polycystic Ovary Syndrome Patients and Patients With Ultrasonographic Evidence of Polycystic
Bibliographic record
Abstract
Background: In this study, the difference between ovarian stromal and uterine artery blood flow measured with color Doppler ultrasound between polycystic ovary syndrome (PCOS) patients and patients with ultrasonographic evidence of polycystic were evaluated. Methods: Serum hormone levels and ultrasonographic and color Doppler analysis were evaluated for 20 patients with PCOS and 20 healthy women with ultrasonographic evidence of polycystic. Results: There were significant difference between uterine artery pulsatility index (PI), uterine artery resistance index (RI), ovarian stromal artery PI and ovarian stromal artery RI measurements of PCOS and healthy women with ultrasonographic evidence of polycystic groups (P values respectively; P < 0.01, P < 0.05, P < 0.01, P < 0.01). In PCOS group ovarian stromal artery RI values were inversely correlated with androstenedione levels (r = -0.536; P < 0.05). Also in PCOS group uterine artery PI values were positively correlated with androstenedione levels (r = 0.536; P < 0.05). Conclusion: In patients with PCOS uterine artery PI and RI values are higher than women with ultrasonographic evidence of polycystic while ovarian artery PI and RI values were lower. Ovarian stromal artery RI value is inversely proportional to the serum androstenedione level while exchange value of uterine artery PI varies in direct proportion to the serum androstenedione level for PCOS patients. doi: http://dx.doi.org/10.4021/jcgo85w
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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 | 0.002 |
| 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) | 0.002 | 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".