Clinical manifestation and maternal complications and neonatal outcomes in pregnant women with COVID-19: a comprehensive evidence synthesis and meta-analysis
Bibliographic record
Abstract
OBJECTIVES: There is little known about pregnancy-related complications and comorbidity in this group of women. Therefore, this systematic review and meta-analysis were performed to find out whether COVID-19 may cause different manifestations and outcomes in the antepartum and postpartum period or not. MATERIAL AND METHODS: We searched databases, including Medline (PubMed), Embase, Scopus, Web of sciences, Cochrane library, Ovid, and CINHAL to retrieve all articles reporting the prevalence of maternal and neonatal complications, in addition to clinical manifestations, in pregnant women with COVID-19 that published with English language January to November 2020. RESULTS: Seventy-four studies with total 5560 pregnant women included in this systematic review. The results show that the pooled prevalence of neonatal mortality, lower birth weight, stillbirth, premature birth, and intrauterine fetal distress in women with COVID-19 was 4% (95% Cl: 1 - 9%), 21% (95% Cl: 11 - 31%), 2% (95% Cl: 1 - 6%), 28% (95% Cl: 13 - 43%), and 14% (95% Cl: 4 - 25%); respectively. Moreover, the pooled prevalence of fever, cough, diarrhea, and dyspnea were 56% (95% Cl: 32 - 81%), 29% (95% Cl: 21 - 38%), 9% (95% Cl: 2 - 16%), and 3% (95% Cl: 1 - 6%) in pregnant women with COVID-19. Two studies reported that pregnant women with severe COVID pneumonia have higher levels of d-dimer. Also, COVID pneumonia is more common in pregnant women than non-pregnant. CONCLUSION: According to this meta-analysis, pregnant women with COVID-19 with or without pneumonia, are at a higher risk of preeclampsia, preterm birth, miscarriage and cesarean delivery. Furthermore, the risk of LBW and intrauterine fetal distress seems to be increased in neonates. In addition, our evaluations are investigative of higher risk of COVID-19 in the third trimester in pregnant women comparing to the first and second trimester. It can be due to higher BMI in the third trimester causing to increase the likelihood of disease deterioration, which can trigger a cascade of side effects starting with coagulation, pneumonia, hypoxemia affecting the placenta leading to ICU admission, fetal distress, premature birth and higher rates of C-section.
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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 | 0.016 | 0.038 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.018 | 0.052 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| 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".