A systematic review and meta-analysis of data on pregnant women with confirmed COVID-19: Clinical presentation, and pregnancy and perinatal outcomes based on COVID-19 severity
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: We determined the clinical presentation, risk factors, and pregnancy and perinatal outcomes in pregnant women with confirmed COVID-19 and identified if these are different based on COVID-19 severity. METHODS: We included all observational studies on pregnant women with confirmed COVID-19 reporting clinical presentation, risk factors, and pregnancy and perinatal outcomes. We included all studies published between Dec/2019-Feb/2021 in Medline, Embase, the WHO COVID-19 databases, and clinicaltrials.gov. The methodological quality of cohort and case-series was assessed using NHLBI criteria. RESULTS: 31 016 pregnant women from 62 studies were included. Women were an average of 30.9 years of age, most (77.7%) were in the third trimester, and 16.4% developed severe COVID-19. Nearly half were asymptomatic, while the most commonly reported symptoms were cough, fever, fatigue, and anosmia/ageusia. About 7% were admitted to the intensive care unit (ICU), 8% required mechanical ventilation, and 2% of the women died. Almost 80% of women delivered; 48.4% had cesarean births. Among newborns, 23.4% were preterm (<37 weeks), 16.6% were low birth weight, and 23.7% were admitted to neonatal ICU. A total of 21 stillbirths (1.6%) and 24 neonatal deaths (1.6%) were recorded, while 50 babies (3.5%) were COVID-19 positive. Studies comparing pregnant women with severe and non-severe COVID-19 showed that women with severe COVID-19 were 3.7 years older and the risk of severe COVID-19 was 1.5 times higher among women >35 years. The risk of severe COVID-19 was significantly higher among women who were obese, had smoked, diabetic, and had pre-eclampsia. The risk of preterm birth was almost 2.4 folds among women with severe COVID-19. CONCLUSIONS: Our review suggests a heightened risk of COVID-19 severity and adverse pregnancy and perinatal outcomes among women with certain demographic and health profiles. These findings can inform the formation of current guidelines; however, these should be constantly updated as the global COVID-19 scenario unfolds. REGISTRATION: PROSPERO: CRD42020182048.
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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 | 0.007 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.014 | 0.001 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| 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 it