Are Anti-β2 Glycoprotein 1 Antibodies Associated with Placenta-Mediated Pregnancy Complications? A Nested Case–Control Study
Bibliographic record
Abstract
BACKGROUND: While anti-β2 glycoprotein 1 (anti-β2GP1) antibody positivity is included in the diagnostic criteria for antiphospholipid syndrome (APS), the association between anti-β2GP1 and the obstetrical complications of APS has been inconsistently reported and remains unclear. OBJECTIVE: We completed a case-control study nested within the Canadian Ottawa and Kingston (OaK) Birth Cohort to evaluate the association between anti-β2GP1 antibody positivity and placenta-mediated pregnancy complications. STUDY DESIGN: Five hundred cases were randomly selected among pregnant women who experienced any of the following independently adjudicated placenta-mediated pregnancy complications: preeclampsia, placental abruption, late pregnancy loss (≥ 12 weeks' gestation), and birth of a small-for-gestational age (SGA) infant < 10th percentile. Five hundred pregnant women without any placenta-mediated pregnancy complications were selected as controls. Stored blood samples were analyzed for the presence of anti-β2GP1 antibodies by enzyme-linked immunosorbent assay. RESULTS: = 0.25). CONCLUSION: Our results call into question the association between anti-β2GP1 antibodies and placenta-mediated pregnancy complications, with further research needed.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".