Absorbable Versus Nonabsorbable Sutures in the Management of Traumatic Lacerations and Surgical Wounds
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
OBJECTIVES: To complete a systematic review of randomized controlled trials (RCTs) that compare the cosmetic outcomes and complications of traumatic lacerations and surgical incisions closed with absorbable sutures versus nonabsorbable sutures. DESIGN/METHODS: We searched MEDLINE, EMBASE, and Cochrane Central to identify all RCTs comparing absorbable versus nonabsorbable sutures that assessed cosmetic outcomes or complications. Reference lists of all identified trials were also searched. Two independent reviewers screened abstracts for eligibility, extracted study data, and assessed trial quality. Disagreements were resolved by consensus or a third party. RESULTS: Three hundred thirty-eight citations were retrieved, of which 7 met inclusion criteria. Studies were heterogeneous with respect to specific interventions and outcome measures; sample sizes ranged from 44 to 166. There was no statistically significant difference between absorbable and nonabsorbable sutures in short- or long-term cosmetic score, scar hypertrophy, infection rate, wound dehiscence, and wound redness/swelling. CONCLUSIONS: Our meta-analysis suggests a lack of large, methodologically sound RCTs evaluating the effectiveness of absorbable versus nonabsorbable sutures. Although our analysis demonstrates that nonabsorbable sutures seem to be no better than absorbable sutures in the management of wound repair, a large methodologically sound RCT is needed to adequately answer this question.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 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 it