Serum androgen markers in preeclampsia.
Bibliographic record
Abstract
OBJECTIVE: To determine whether maternal serum levels of androgens are associated with preeclampsia in primigravid women. STUDY DESIGN: A case-control study of primigravid women with singleton pregnancies. Women diagnosed with preeclampsia (n = 15) were matched with normotensive controls (n = 30) for age and gestational age. Serum testosterone, sex hormone binding globulin, estradiol and dehydroepiandrosterone sulfate were measured before delivery. The study had 80% power to detect a 30% difference in mean testosterone concentration between cases and controls using a two-tailed test and alpha level of .05. The Student t test, Mann-Whitney U test, Wilcoxon signed ranks test and chi 2 analysis of proportions were used for analysis. RESULTS: Cases and controls did not differ in maternal age, gestational age, body mass index, tobacco use or neonatal sex. As compared with normotensive controls, preeclamptic women exhibited no statistically significant differences in median levels of total testosterone, free androgen index, sex hormone binding globulin, estradiol or dehydroepiandrosterone sulfate. CONCLUSION: Maternal serum levels of androgens do not exhibit an association with preeclampsia in primigravid women.
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.
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 | 0.001 |
| 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".