Maternal complications and adolescent pregnancy in Latin America: A systematic review and meta-analysis
Bibliographic record
Abstract
ABSTRACT Objective: To assess whether maternal complications are a risk in adolescent pregnancy in Latin America and the Caribbean during the period 2012 to 2021. Methods: A systematic search was carried out in 6 databases: PubMed, SCOPUS, Web of Science, EMBase, LILACS and Scielo. The articles included were from Latin American countries and had any of the following variables: preeclampsia, eclampsia, puerperal hemorrhage and puerperal sepsis published from 2012 to 2021 and comparing pregnant adolescents and adults. Articles that did not present separate findings from Latin America and/or the Caribbean, that the full version was not available, and that were focused on patients with a specific disease were excluded. For risk of bias, the Newcastle-Ottawa Scale Case-Control Studies was used. The summary measure used was the Odds Ratio with a 95% confidence interval for each study. Results: 4 studies were included. The risk of preeclampsia in pregnant adolescents and postpartum hemorrhage (OR = 0.86, 95% CI 0.74 – 0.99) were not evidenced (OR = 0.93, 95% CI 0.69 – 1.25). On the other hand, the risk of eclampsia (OR = 2.43, 95% CI 1.29 – 4.58) in pregnant adolescents was shown, but with high heterogeneity between studies (I2 = 76%). Conclusions: A risk of eclampsia was evidenced in pregnant adolescents, but not in preeclampsia nor postpartum hemorrhage. However, these results should be taken with caution. Protocol record: CRD42021286725 (PROSPERO)
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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 | 0.011 | 0.025 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.014 | 0.024 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| 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".