Frequency of Success Rate of Cervical Cerclage in Preventing Preterm Deliveries
Bibliographic record
Abstract
Objective: Determination of success rate of cervical cerclage in prevention of preterm deliveries in patients with cervical incompetence. Study Design: Case Series study. Place and Duration of Study: Study was conducted at Khyber Teaching Hospital for a period of six months from 29 March, 2018 to 29 September, 2018. Methodology: 97 pregnant women were recruited who had a history of previous miscarriages or pre-term delivery. Cervical Cerclage was performed on these patients who were then observed till delivery to ascertain the success rate of cervical cerclage in preventing pre-term deliveries in these patients. Results: In this study mean age was 30 years with SD 8.316. 63% patients were nulli para (with previous second trimester losses) and 37% patients were multi para (with previous pre-term deliveries). 78% delivered at term and 22% delivered preterm. 80% of babies delivered with good apgar score and weight greater than 2.5 kg where as 20% of babies delivered with low apgar score and weight less than 2.5kg. Overall success rate of cervical cerclage was 80%. Conclusion: Our study concluded that success rate of cervical cerclage was 80% in preventing pre-term deliveries in patients having cervical incompetence. Keywords: Cervical Cerclage, Pre-term deliveries, Cervical incompetence, Trans-vaginal
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 teacher head, 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".