Fear of Pregnancy Loss and Fetal Karyotyping: A Place for Third-Trimester Amniocentesis?
Bibliographic record
Abstract
OBJECTIVE: To assess the complications of third-trimester amniocentesis for fetal karyotyping in women unwilling to accept the fetal loss risks of second-trimester amniocentesis. METHODS: Retrospective study of singleton pregnancies that underwent a third-trimester amniocentesis for karyotyping. 150 complete charts between 1998 and 2005 were reviewed. RESULTS: The indications were: isolated abnormal second-trimester biochemical markers (n = 57), isolated maternal age >38 years (n = 46), integrated risk (maternal age, first-trimester nuchal translucency, second-trimester maternal serum markers) >1/250 (n = 22), history of chromosomal abnormality (n = 17) or maternal choice (n = 8). The median maternal age and gestational age at sampling were: 40 years (23-48), 32.4 weeks (29.7-37.1). Median interval between amniocentesis, definitive result of amniocentesis, and delivery were 14 days (7-42), and 49 days (10-67) respectively. There were no abnormal karyotypes and no termination of pregnancy. Six women out of 150 (4%) had spontaneous labor before 36 weeks (2% after 36 weeks). CONCLUSION: The risk of spontaneous labor before 37 weeks after late amniocentesis is 4% (2% before 36 weeks). This technique provides a late but safe reassurance to women who are unwilling to accept the risks of earlier fetal karyotyping. This is of interest to countries such as France where legislation permits late termination of pregnancy.
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 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 | 0.001 | 0.014 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".