Assisted Reproductive Technology and Hypertensive Disorders of Pregnancy: Systematic Review and Meta-Analyses
Bibliographic record
Abstract
<title>Abstract</title> <bold>Background</bold>Hypertensive disorders of pregnancy (HDP) is one of the most common pregnancy complications and causes of maternal morbidity and mortality. Many cohort studies were conducted to study adverse pregnancy outcomes associated with pregnancies from assisted reproductive technology. We aimed to comprehensively review all available evidence to date to compare the odds of HDP and preeclampsia between pregnancies achieved by in vitro fertilization (IVF) and spontaneous pregnancies.<bold>Methods</bold>We conducted a systematic review and meta-analysis based on cohort studies identified from EMBASE, MEDLINE, and Cochrane Library (up to 2020) and manually using a structured search strategy. Cohort studies that compared pregnancies after IVF with or without intracytoplasmic sperm fertilization (ICSI) and SC with HDP or preeclampsia as the outcome of interest were included. The control group was women who conceived spontaneously without ART or fertility medications. Studies published in English, French, Chinese, and Portuguese were reviewed. Eligibility and quality of studies were evaluated by two reviewers independently. Quality assessment was conducted using the Newcastle Ottawa Scale (NOS) for Cohort Studies. The pooled results were reported in odds ratios (OR) with 95% confidence intervals based on random effects models. I-squared (I<sup>2</sup>) test was used to evaluate heterogeneity and publication bias was assessed using funnel plots.<bold>Results</bold>Seventy-eight studies were included after a screening of 1,879 abstracts and 275 full text articles. Compared to SC, IVF/ICSI singleton pregnancies (OR 1.63; 95% CI 1.54-1.74; I<sup>2</sup> = 79%) and multiple pregnancies (OR 1.31; 95% CI 1.18-1.47; I<sup>2</sup> = 73%) were both associated with higher odds of HDP. Singleton pregnancies with oocyte donation had the highest odds of HDP out of all groups analyzed (OR 4.11; 95% CI 2.75-6.16; I<sup>2</sup> = 85%). Frozen embryo transfer resulted in higher odds of HDP (OR 1.74; 95% CI 1.58-1.92; I<sup>2</sup> = 55%) than fresh embryo transfer (OR 1.43; 95% CI 1.33-1.53; I<sup>2</sup> = 72%). Similar findings for preeclampsia were also reported.<bold>Conclusions</bold>Our meta-analysis confirmed that IVF/ICSI pregnancies are at high odds of HDP and preeclampsia than SC, irrespective of the plurality. The odds were especially high in frozen embryo transfer and oocyte donation pregnancies.
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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 | 0.001 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".