Breast feeding after caesarean delivery on maternal request: protocol of a systematic review and meta-analysis
Bibliographic record
Abstract
INTRODUCTION: Caesarean delivery under maternal request (CDMR) is a major factor contributing to the rising global rates of caesarean section (CS) procedure. The choice of CDMR without medical indications could provide a sense of assured safety by avoiding the experiences and complications of vaginal birth, and the risks related to an emergency CS. However, it might adversely influence women's breast feeding patterns and produce a long-lasting impact on maternal and neonatal health. This study aims to systematically review the current evidence relating to the effects of intentions of performing CDMR on breast feeding. METHODS AND ANALYSIS: A comprehensive literature search will be performed in three English-language electronic databases, major clinical study registries and other sources for original studies reporting the breast feeding outcomes after a planned CDMR or vaginal delivery. The three databases Medline, Embase and the Cochrane Central Register of Controlled Trials will be searched via Ovid from inception to February 2020. Randomised controlled trials (RCTs), pseudo-RCTs, cohort studies and case-control studies on this topic will be included. Participants in the experimental or case group should meet the Robson criteria of classes 2B or 4B and have experienced planned CS undertaken for no maternal or foetal indication, whereas participants in the control group have undergone scheduled vaginal delivery. All kinds of breast feeding outcomes will be included. Meta-analyses will be attempted to provide an estimate of the pooled effect and will be stratified by different study designs. A qualitative description will be provided if quantitative synthesis proves to be fruitless. ETHICS AND DISSEMINATION: This study is a secondary literature review that does not need ethical approval. No primary data will be collected from the participants. Findings of this study will be presented at scientific conferences and be published in scientific journals. PROSPERO REGISTRATION NUMBER: CRD42020160303.
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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 | 0.069 | 0.076 |
| Meta-epidemiology (narrow) | 0.005 | 0.004 |
| Meta-epidemiology (broad) | 0.022 | 0.026 |
| Bibliometrics | 0.011 | 0.011 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.051 | 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".