PREGNANCY COMPLICATIONS IN PATIENTS WITH ENDOMETRIOSIS
Bibliographic record
Abstract
Introduction: Endometriosis is a chronic disease, which causes infertility in 40%. In case of ineffective therapy, assisted reproductive technology is indicated. Endometriosis is an independent risk factor for mother and fetus morbidities. Prenatal monitoring, is essential in prevention of pregnancy-related complications. Objective: Evaluation and comparison the frequency of pregnancy complications in women with endometriosis after traditional treatment methods of infertility and after IVF. Methods: Retrospective study included 320 patients aged 28-46, with different locations of endometriosis, diagnosed by laparoscopy. The patients were divided into two groups: I group – 170 pregnant women using the fertility treatment method – IVF and II group – 150 pregnant women conceived naturally. Pregnancy complications were evaluated and statistically analyzed. Results: In pregnant women with endometriosis after IVF treatment the most common pregnancy complication was caesarian section - 79.4%, both emergency and elective. The frequency of preeclampsia was also high - 54.7%. The preterm birth occurred in 49.4%, the same trend was revealed in the II group - 52, 0%. Placenta previa and placenta abruption were rare in both groups 10.6% vs. 4.0% and 3.5% vs. 2%. In general, the adverse pregnancy outcome in the ART group was significantly higher compared to pregnant women conceived naturally except for the preterm delivery and abruption of the placenta. Conclusions: IVF pregnancy in patients with endometriosis should be considered a high-risk pregnancy regarding adverse outcomes: cesarean section, preeclampsia and preterm delivery. However, these pregnancy complications should be linked to the endometriosis and infertility and may not to the ART.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".