Celiac Disease and Maternal Infertility and Pregnancy Outcomes: Is Screening Necessary?
Bibliographic record
Abstract
Celiac disease is a common autoimmune condition that is often underappreciated in pregnant women. Due to the difficulty in conducting high-quality studies involving pregnant patients, the evidence supporting the association between celiac disease and maternal fertility and pregnancy outcome, and the benefits of screening for celiac disease in this population are unclear. Therefore, we sought to review the relevant literature to gain a better understanding of the impact of celiac disease on maternal fertility and fetal outcome. Our findings suggest a role for celiac screening in women with unexplained infertility. RésuméLa maladie cœliaque est une maladie auto-immune commune qui est souvent sous-estimée chez les femmes enceintes. En raison de la difficulté à mener des études de haute qualité impliquant des patientes enceintes, les preuves soutenant l’association entre la maladie cœliaque et la fertilité maternelle et l’issue de la grossesse, et les avantages du dépistage de la maladie cœliaque dans cette population ne sont pas claires. Par conséquent, nous avons cherché à examiner la littérature pertinente pour mieux comprendre l’impact de la maladie cœliaque sur la fertilité maternelle et l’issue fœtale. Nos résultats suggèrent un rôle pour le dépistage de la maladie cœliaque chez les femmes présentant une infertilité inexpliquée.
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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 | 0.001 |
| 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".