Do maternal cerebral vascular changes assessed by transcranial Doppler antedate pre‐eclampsia?
Bibliographic record
Abstract
OBJECTIVE: To determine whether maternal transcranial Doppler (TCD) evaluation of the middle cerebral artery identifies changes in the cerebral circulation prior to the development of pre-eclampsia. METHODS: In a nested, case-controlled study developed from a previous prospective cohort study, 20 pre-eclamptic and 40 normotensive pregnancies, matched for maternal age, were assessed with the traditional middle cerebrovascular Doppler parameters (pulsatility index, mean cerebral blood flow velocity), together with non-traditional Doppler parameters including time taken to achieve end systole (EST) and percentage time to achieve end systole (% EST). Assessments done at 20-24 and 28-32 weeks' gestational age were compared using Student's t-tests. Significance was set at the P < 0.05 level. RESULTS: In the second trimester (20-24 weeks) there were no significant differences in any of the Doppler waveform characteristics in either group. In the third trimester (28-32 weeks) there was a significant increase in the % EST in the group who subsequently developed pre-eclampsia (45.2 +/- 4.2 vs. 42.3 +/- 4.1; P < 0.01). CONCLUSIONS: Patients who subsequently develop pre-eclampsia show a significant lengthening in the EST in the third trimester as a late finding, which indicates an increase in the cerebrovascular resistance. Earlier prediction of pre-eclampsia using TCD waveform analysis will require more provocative testing (i.e. hand grip and CO(2) reactivity).
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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 | 0.014 |
| 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 | 0.001 | 0.001 |
| 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".