Comparing the Effects of Antenatal Betamethasone on Doppler Velocimetry Between Intrauterine Growth Restriction With and Without Preeclampsia
Bibliographic record
Abstract
Evaluation of the effects of betamethasone on patients with intrauterine growth restriction in couple with preeclampsia is not well studied. This study was designed to assess and compare the changes of Doppler flow in maternal, fetal and placental arteries in singleton pregnancies complicated by IUGR and preeclampsia which are at 24-34 weeks of gestation after betamethasone therapy. This prospective, longitudinal and multicenter study was conducted in 2013 on the 40 singleton pregnant women with IUGR fetuses and concerned over maternal or fetal well-being. Three Doppler measurements including absolutely before betamethasone, one day after betamethasone and 5 days after betamethasone administration were performed. Flow velocity waveforms were obtained from uterine arteries (UA), Umbilical (UM), and middle cerebral artery (MCA). The Systolic/Diastolic ratio (S/D), Resistance Index (RI), and Pulsatility Index (PI) were determined for waveforms. Comparison of baseline mean scores between IUGR with and without preeclampsia showed no statistically significant differences. The mean scores of UA, MCA-UM-RI, UM-S/D, UM-PI, and UM-RI did not differ statistically significant between three time points when compared trend between negative and positive preeclampsia subjects. However, UM-RI had close P value to the margin of statistical significance (P value = 0.055). In other words, in our study, UM-RI had a clear tendency to be significance. We can conclude that preeclampsia alone could not be major prognostic factor in pregnancies with IUGR. While, other prognostic factors such as gestational age, fetal weight, and fetal vascular Doppler flow may are more important for decision making about termination of preeclampsia.
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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 | 0.000 | 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) | 0.001 | 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".