Reasons for elective cesarean section on maternal request: a systematic review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background: Given the increasing rate of cesarean delivery and request without maternal or fetal indication among pregnant women, this systematic review was conducted to obtain the reasons for maternal request for elective cesarean section.Methods: We searched published studies from the first year of records through August 2018 in PubMed, Scopus, and Web of Science. The quality assessment of the studies was performed by the improved Newcastle-Ottawa Scale. Due to data heterogeneity; no meta-analysis was performed.Results: Twenty-eight studies met the inclusion criteria and were included in the review. The results of studies on the reasons of maternal request for elective cesarean section were fear of labor pain, anxiety for fetal injury/death, fear of childbirth, urinary incontinence, pelvic floor and vaginal trauma, doctors suggestion, time of birth, experience of prior bad delivery, previous infertility, infertility, anxiety for gynecologic examination, anxiety for loss of control, avoid long labor, anxiety for lack of support from the staff, fear of fecal, emotional aspects, body weight of the infant at birth and abnormal prenatal examination. The results of studies on the demographic reasons of maternal request for elective cesarean section were advanced maternal age, parity, occupation, education, maternal obesity, family status, decreasing level of religiosity, household income, number of living children and age at marriage.Conclusions: Our study proposed that the comprehensive programs and the interventions of health promotion should be designed to reduce unnecessary cesarean section and improve the performance of vaginal delivery.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.006 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it