Donor oocyte conception and pregnancy complications: a systematic review and meta‐analysis
Bibliographic record
Abstract
BACKGROUND: Observational studies showed that women with a donor oocyte (DO) pregnancy have an increased risk of pregnancy complications. OBJECTIVES: Systematic review and meta-analysis to compare pregnancy complications of DO pregnancy with autologous oocyte in vitro fertilisation (IVF), and whether DO pregnancy acts as an independent risk factor. SEARCH STRATEGY: Online searches of databases from 1 January 1980 to 31 January 2015 were performed using a set of relevant keywords. SELECTION CRITERIA: All studies comparing pregnancy complications of women with donor oocyte IVF and autologous oocyte IVF were included. DATA COLLECTION AND ANALYSIS: Data collected included demographics and pregnancy complications. Methodological quality assessment was performed using the Newcastle-Ottawa scale. Statistical analysis was performed using review manager 5.3 and stata 13.0. Meta-regression was performed for age. MAIN RESULTS: In total, 11 studies (n = 81 752) were included. Ten studies (n = 11 539) examined the primary outcome. The risk of developing hypertensive disorders in pregnancy was significantly higher for DO pregnancy (odds ratio, OR 3.92; 95% confidence interval, 95% CI 3.21-4.78). Further subgroup analysis for singleton and twin pregnancies showed that the risk was significantly higher for DO pregnancy in each group. Secondary outcomes including small for gestational age (OR 1.81), caesarean section (OR 2.71), and preterm delivery (OR 1.34) were significantly higher with DO pregnancy. Meta-regression for the covariate of age suggested that risk was independent of age. AUTHOR'S CONCLUSIONS: Donor oocyte pregnancy acts as an independent risk factor for pregnancy complications, including hypertensive disorders, small for gestational age, and preterm delivery. Women should be counselled carefully before undergoing DO-assisted conception. TWEETABLE ABSTRACT: Donor oocyte conception is an independent risk factor for obstetric complications.
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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 | 0.010 | 0.030 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.015 | 0.028 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".