Prevalence of maternal Group B Streptococcus rectovaginal colonization among pregnant women in Ethiopia: protocol for a systematic review and meta-analysis
Bibliographic record
Abstract
Abstract Background: Rectovaginal colonization with Group B streptococcus (GBS) during pregnancy is an important risk factor for serious infections including neonatal sepsis, pneumonia, and meningitis. It is also associated with stillbirth and preterm birth. Since globally rates of GBS colonization, as well as rates of vertical transmission to the newborn, differ broadly, having national data is important for implementing strategies to reduce neonatal morbidity and mortality as a result of GBS infection. We propose this systematic review and meta-analysis to describe the prevalence of rectovaginal GBS colonization, rate of vertical transmission, and the antibiotic resistance pattern among third trimester pregnant women in Ethiopia.Methods: A systematic search will be done of PubMed (MEDLINE), EMBASE, CINHAL, and Cochrane Library. In addition, google scholar will be searched, and a reference list of the already identified articles will be checked to find additional eligible articles that were missed during the initial search. Two reviewers will screen all retrieved articles and assess the methodological quality of included studies using the Newcastle-Ottawa Scale (NOS) checklist. Any disagreement between two reviewers will be resolved by a third reviewer. We will extract data using the JBI data extraction tool for the systematic review of prevalence studies. The data analysis will be conducted using Stata Statistical Software: Release 15. We will present pooled estimates of the prevalence of GBS colonization and rates of vertical transmission with a 95% confidence interval.Discussion: This will be the first synthesis of data on GBS during pregnancy at a national level. It will inform decision-makers in determining whether a universal or a risk-based screening strategy is most appropriate, as well as guiding them in adopting an intrapartum antibiotic protocol.Registration: Submitted to PROSPERO on 18/03/2021
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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 | 0.071 | 0.086 |
| Meta-epidemiology (narrow) | 0.006 | 0.005 |
| Meta-epidemiology (broad) | 0.023 | 0.034 |
| Bibliometrics | 0.011 | 0.009 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.006 | 0.004 |
| Research integrity | 0.007 | 0.006 |
| Insufficient payload (model declined to judge) | 0.054 | 0.005 |
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".