Barbed vs conventional suture at cesarean delivery: A systematic review and meta‐analysis
Bibliographic record
Abstract
INTRODUCTION: Barbed sutures are used in cesarean delivery with the intended benefits of better tissue approximation, hemostasis, and strength, as well as reduced operative time. A systematic review and meta-analysis was undertaken to assess the safety and efficacy of the use of barbed suture compared with conventional sutures in cesarean delivery. MATERIAL AND METHODS: MEDLINE, EMBASE, PubMed, Scopus, Cochrane CENTRAL, and three clinical trial registries, were searched from inception to December 2019, without restriction by language or publication year. Randomized controlled trials comparing the use of barbed suture with conventional sutures in closure of any layer (uterine/fascial/skin) during cesarean delivery were included. The safety outcomes included estimated blood loss, pain, mortality, and other morbidity including infection, re-operation or re-admission. Effectiveness outcomes included closure time, need for additional suture and scar integrity. Study selection, data extraction, risk-of-bias, and quality assessment were independently performed by two authors. Primary analysis compared outcomes for all layers of surgical closure, whereas subgroup analysis was performed by individual layer. Pooled mean differences (MD) and risk ratios (RR) with 95% CI were calculated using a random effects model. Level of evidence was assessed using GRADE criteria. PROSPERO registration number: CRD42020168859. RESULTS: The review included four trials (three comparing uterine closure and one comparing skin closure), at high risk of bias, representing 460 participants. Primary analysis showed no morbidity differences between two groups. The use of barbed suture for uterine closure was associated with shorter incision closure time (MD 110.58 seconds, 95% CI 93.79-127.36 seconds), shorter total surgical time (MD 1.92 minutes, 95% CI 0.03-3.80 minutes), and a reduced need for additional hemostatic sutures (RR 0.39, 95% CI 0.28-0.54), with no difference in estimated blood loss (MD 46.17 mL, 95% CI 13.55 to -105.89 mL) or postoperative morbidity (RR 0.96, 95% CI 0.46-2.01). The level of evidence was deemed to be low to very low, based on inconsistency and imprecision of results. CONCLUSIONS: Barbed sutures may be a suitable alternative to conventional sutures for uterine closure because they reduce uterine repair time, total surgical time, and the need for additional hemostatic sutures, without an increase in blood loss or maternal morbidity.
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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 | 0.011 | 0.022 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.019 | 0.030 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".