MétaCan
Menu
Back to cohort
Record W4410978857 · doi:10.1186/s13017-025-00619-1

Primary closure and prophylactic antibiotics for treatment of traumatic wounds caused by mammals, a systematic review and meta-analysis

2025· review· en· W4410978857 on OpenAlexaboutno aff
Meng Cui, Yiqing Jia, Zhaoyang Chen, Jie Qu, Zong‐Hong Zhu, Yan Xu, Shuyuan Liu, Ruifeng Chen, Yi Shan

Bibliographic record

VenueWorld Journal of Emergency Surgery · 2025
Typereview
Languageen
FieldMedicine
TopicSurgical Sutures and Adhesives
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineClosure (psychology)Meta-analysisAntibioticsProphylactic treatmentIntensive care medicineSurgeryPathologyMicrobiologyBiology

Abstract

fetched live from OpenAlex

PURPOSE: To compare primary closure (PC) with delayed/no closure (DC/NC), and compare prophylactic use of antibiotics (PUA) with no use of antibiotics (NUA) in the treatment of traumatic wounds caused by mammals by a systematic review and meta-analysis. METHODS: PubMed and Embase databases were searched for eligible randomized clinical trials (RCTs) and observational studies. Qualities of RCTs were assessed according to Cochrane risk of bias tool, qualities of observational studies were assessed according to Newcastle-Ottawa Scale. Primary outcomes included the incidence of wound infection or poor wound healing and the rate of wound cosmesis satisfaction. The relative risks (RRs) of RCTs, odds ratios (ORs) of observational studies and their 95% confidence interval (CI) were extracted directly from included studies or calculated according to the 2 × 2 table obtained by the incidence. The sensitivity analysis, meta-regression and subgroup analysis were performed to identify clinical factors that caused the heterogeneity between studies. RESULTS: Of 26 included studies, 17 studies (8 RCTs and 9 observational studies, 8091 patients) compared PC with DC/NC and 14 studies (7 RCTs and 7 observational studies, 2508 patients) compared PUA with NUA. The pooled OR of all studies (PC versus DC/NC) for wound infection or poor wound healing was 0.79 (95%CI: 0.54, 1.17), the pooled RR of RCTs for wound infection was 0.73 (0.51, 1.06). The pooled OR for cosmesis satisfaction was 3.68 (1.27, 10.68) of 2 studies (PC versus DC) that did not use the negative pressure sealing drainage technique. Subgroup analysis demonstrated that the pooled OR was significant under specific clinical conditions: (1) comparison of PC and DC (pooled OR: 0.49 [0.27, 0.90]), (2) prophylactic use of antibiotics (0.56 [0.33, 0.94]), (3) no use of antibiotics (0.63 [0.41, 0.98]), (4) wounds located in limbs/trunk (0.41 [0.23, 0.73]), (5) time to the first medical presentation (TTP) ≤ 10 h (0.59 [0.39, 0.89]). While the pooled OR (PC versus NC) was not significant (0.84 [0.51, 1.37]). The pooled OR of all studies for wound infection (PUA versus NUA) was 0.73 (95%CI: 0.46, 1.17), the pooled RR of RCTs for wound infection was 0.81 (0.46, 1.44). No included studies (PUA versus NUA) reported the outcome of wound cosmesis. Subgroup analysis demonstrated that the pooled OR was significant under specific clinical conditions: (1) injury caused by other type of mammals other than dog (pooled OR: 0.24 [0.06-0.98]), (2) wounds located in face/head (0.13 [0.03, 0.52]). CONCLUSIONS: Regardless of whether prophylactic antibiotics are used or not, compared to delayed closure, primary closure should be given priority in treating traumatic wounds caused by mammals which can decrease the incidence of wound infection or poor wound healing and obtain the better wound cosmesis, but it does not show the superiority compared to no closure, unless under some specific clinical conditions. Prophylactic use of antibiotics may not benefit in prevention of wound infection unless under specific clinical conditions, such as wounds caused by mammals other than dogs or wounds located in face/head.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Meta-epidemiology (broad)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.778
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0180.008
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.111
GPT teacher head0.372
Teacher spread0.261 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designMeta-analysis
Domainnot available
GenreReview

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".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueWorld Journal of Emergency SurgerySame topicSurgical Sutures and AdhesivesFrench-language works237,207