Incidence and correlates of cesarean section in a capital city of a middle-income country
Bibliographic record
Abstract
OBJECTIVE: To determine the prevalence and correlates of cesarean deliveries (CS) in Beirut. METHODS: A cross-sectional study conducted on 18,837 consecutive infants born at nine hospitals from the National Collaborative Perinatal Neonatal Network (NCPNN). Stepwise Logistic Regression was performed to determine CS correlates. RESULTS: The rate of CS was 26.4% and correlated with socio-demographic, obstetrical and provider-related variables. Regression analysis identified age, paternal occupation, mode of payment, parity, birth weight, gestational age, multiple pregnancies, adequate prenatal care, complications during pregnancy, body mass index at delivery, hospital teaching status, day of the week and year of delivery to be significant correlates of CS. CONCLUSION: This study shows an increased CS rate in a middle-income country, and identifies the correlates of women delivering by the abdominal route. These correlates may be used for effective reduction policies in the future.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".