Percutaneous balloon mitral valvotomy during pregnancy: A systematic review and meta‐analysis
Bibliographic record
Abstract
INTRODUCTION: The objective of this study was to systematically review the maternal and fetal outcomes in pregnant women who underwent percutaneous balloon mitral valvuloplasty (PBMV) during pregnancy. MATERIAL AND METHODS: A search was conducted on MEDLINE and Embase databases to identify studies published between 2000 and 2018 that reported on maternal and fetal outcomes following PBMV performed in pregnancy. Randomized controlled trials, cohort studies, case-control studies, cross-sectional studies and case series with four or more pregnancies in which PBMV was performed during pregnancy were included. Reference lists from relevant articles were also hand-searched for relevant citations. A successful procedure was defined as one where there was a reported improvement in the valve area or reduction in the mitral valve gradient. A random effects model was used to derive pooled estimates of various outcomes and the final estimates were reported as percentages with a 95% confidence interval (95% CI). RESULTS: Twenty-one observational studies reporting 745 pregnancies were included in the review, all of them having reported outcomes without a comparison group. Most of the studies fell into the low-risk category as determined using the Joanna Briggs Institute (JBI) critical appraisal checklist for case series. Most of the studies (86%) were reported from low- to middle-income countries and PBMV was mostly performed during the second trimester of pregnancy. Forty-three procedures (5.7%) were unsuccessful, nearly half (n = 19) of them reported among women with the severe subvalve disease (Wilkins subvalve score 3 or more). There were 11 maternal deaths among those with suboptimal valve anatomy (severe subvalve disease or Wilkin score >8). Mitral regurgitation was the most common cardiac complication (12.7%; 95% CI 7.3%-19.1%), followed by restenosis (2.4%; 95% CI 0.02%-7.2%). Pooled incidence of cesarean section was 12.1% (95% CI 3.6%-23.8%), preterm delivery 3.9% (95% CI 0.6%-9.0%), stillbirth 0.9% (95%CI 0.2%-2.2%) and low birthweight 5.4% (95% CI 0.2%-14.7%). CONCLUSIONS: PBMV may be an effective and safe procedure for optimizing outcomes in pregnant women with mitral stenosis in the absence of severe subvalve disease.
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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 | 0.010 | 0.030 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.015 | 0.022 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 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".