Management of a Retained Broken Suture Needle During Cerclage Placement
Bibliographic record
Abstract
BACKGROUND: Broken suture needles with unintentional foreign body retention are an uncommon occurrence during obstetric procedures. Few reports exist in the literature of cases in pregnant patients. We report a case with the pregnancy management of a broken needle during cerclage placement that was retained in the cervix until repeat cesarean delivery. CASE: A 36-year-old woman, gravida 12 para 5, presented at 13 weeks of gestation for a history-indicated cerclage. The suture needle broke during the cerclage procedure, leaving a 35-mm needle fragment inside the cervical stroma between the 11 and 2 o'clock position that could not be recovered after multiple attempts. The procedure continued without needle recovery. Intraoperative pelvic X-ray was performed, demonstrating the retained fragment. No further attempts at recovery were made during the pregnancy, and a plan was made to proceed with removal at the patient's repeat cesarean delivery. The patient presented in labor at 32 1/7 weeks of gestation and underwent an uncomplicated cesarean delivery. The retained needle was subsequently removed after manual palpation of the fragment transvaginally. CONCLUSION: Retained broken suture needles during obstetric procedures require careful management decisions in pregnant patients. Retention of a needle fragment until delivery may be considered if risks of removal outweigh the anticipated benefits.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 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 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".