Androgen levels are associated with blood pressure in pregnant women after term
Bibliographic record
Abstract
OBJECTIVE: To assess possible associations between androgen, estrogen and insulin levels and blood pressure in pregnant women after term, compared with the effect of other well-known factors. DESIGN: Cross-sectional retrospective study. SETTING: University Hospital, Trondheim region. POPULATION: Four hundred and eighty-nine post-term women with uncomplicated pregnancies. METHODS: Blood pressure measurements and fasting serum samples drawn one week beyond the estimated day of delivery (defined as 41(+2) weeks). MAIN OUTCOME MEASURES: Blood pressure, maternal age, body mass index, parity, smoking habits and serum levels of dehydroepiandrosterone sulfate, androstendione, free testosterone index, estradiol, estriol, progesterone, 17-hydroxy-progesterone and insulin. RESULTS: In univariate linear regression analyses, body mass index, androstendione, free testosterone index and insulin were positively associated and parity was negatively associated with both systolic and diastolic blood pressure. In multivariate linear regression analyses, systolic blood pressure was positively associated with body mass index and free testosterone index, but negatively associated with parity and 17-hydroxy-progesterone levels, while diastolic blood pressure was positively associated with age and free testosterone index, but negatively associated with parity and 17-hydroxy-progesterone levels. CONCLUSION: Testosterone may increase blood pressure in pregnant women, while 17-hydroxy-progesterone may have the opposite effect.
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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 | 0.000 | 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".