Low levels of maternal serum PAPP‐A in early pregnancy and the risk of adverse outcomes
Bibliographic record
Abstract
OBJECTIVES: To determine if low maternal serum level of pregnancy associated plasma protein A (PAPP-A) measured in early pregnancy can predict adverse pregnancy outcomes and to examine the gestational age (GA) sampling interval for these outcomes. METHODS: This was a nested case-control study from a prospective cohort of women recruited at <20 weeks of gestation in Halifax, NS. Cases (n=248) were defined as women who had a fetal loss or developed preeclampsia, severe pregnancy-induced hypertension (PIH), or small for gestational age infant (SGA). Controls (n=244) were frequency matched to cases by GA at the time of serum sampling (6 to <20 weeks GA). Participant information was obtained from questionnaires and medical chart reviews. RESULTS: Women with a low PAPP-A measure [<or=0.4 multiples of the median (MoM)] had an adjusted odds ratio of 2.1 [95% confidence interval (CI) 1.3-3.6] compared to others (>0.4 MoM). However, performance as a screening test was poor [sensitivity=38.7%; specificity=81.6%; positive likelihood ratio (LR)=2.1; negative LR=0.75]. In the adjusted model, the 10- to 14-week GA period was the only time period where low PAPP-A was significantly associated with adverse outcomes. CONCLUSIONS: Women with a low PAPP-A early in their pregnancy have twice the risk of an adverse outcome, though PAPP-A as a one-time single marker test has limited value.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".