Advanced maternal age: ethical and medical considerations for assisted reproductive technology
Bibliographic record
Abstract
OBJECTIVES: This review explores the ethical and medical challenges faced by women of advanced maternal age who decide to have children. Assisted reproductive technologies (ARTs) make post-menopausal pregnancy physiologically plausible, however, one must consider the associated physical, psychological, and sociological factors involved. METHODS: A quasi-systematic review was conducted in PubMed and Ovid using the key terms post-menopause, pregnancy + MeSH terms [donations, hormone replacement therapy, assisted reproductive technologies, embryo donation, donor artificial insemination, cryopreservation]. Overall, 28 papers encompassing two major themes (ethical and medical) were included in the review. CONCLUSION: There are significant ethical considerations and medical (maternal and fetal) complications related to pregnancy in peri- and post-menopausal women. When examining the ethical and sociological perspective, the literature portrays an overall positive attitude toward pregnancy in advanced maternal age. With respect to the medical complications, the general consensus in the evaluated studies suggests that there is greater risk of complication for spontaneous pregnancy when the mother is older (eg, >35 years old). This risk can be mitigated by careful medical screening of the mother and the use of ARTs in healthy women. In these instances, a woman of advanced maternal age who is otherwise healthy can carry a pregnancy with a similar risk profile to that of her younger counterparts when using donated oocytes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".