Clinical and Obstetric Aspects of Pregnant Women with COVID-19: A Systematic Review
Bibliographic record
Abstract
OBJECTIVE: To analyze the clinical and obstetric aspects of pregnant women with COVID-19. METHODS: . Of those chosen were original titles, without language and period restriction and that addressed pregnant women with a clinical and/or laboratory diagnosis of COVID-19. Revisions, editorials, and duplicate titles were excluded. The Newcastle-Ottawa (NOS) and Murad et al. scales were used to assess the quality of the studies. RESULTS: We included 34 articles with 412 pregnant women infected with severe acute respiratory syndrome (SARS-Cov-2), with an average age of 27.5 years of age and 36.0 gestational weeks. The most common symptom was fever (205 [49.7%]), and 89 (21.6%) pregnant women progressed to severe viral pneumonia. Laboratory tests showed an increase in C-reactive protein (154 [37.8%]), and radiological tests showed pneumonia with peripheral ground-glass pattern (172 [51.4%]). Emergency cesarean delivery was indicated for most pregnant women, and the most common gestational complication was premature rupture of ovarian membranes (14 [3.4%;]). We detected 2 (0.5%) neonatal deaths, 2 (0.5%) stillbirths, and 1 (0.2%) maternal death. CONCLUSION: Pregnant women with COVID-19 presented a clinical picture similar to that of non-infected pregnant women, with few obstetric or neonatal repercussions. There was a greater indication of cesarean deliveries before the disease aggravated, and there was no evidence of vertical transmission of the infection.
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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 | 0.005 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.005 |
| Bibliometrics | 0.009 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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".