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Record W3201253661 · doi:10.36076/ppj.2021.24.e709

Efficacy of Intrawound Treatments to Prevent Surgical Site Infection after Spine Surgery: A Systematic Review and Network Meta-analysis

2021· review· en· W3201253661 on OpenAlexaboutno aff
Lin Lü, Si Cheng, Yang Wang, Xiaolin Chen, Guosheng Zhao, Zhiqiang Wang, Xiaojiong Jia, Zhenyong Ke

Bibliographic record

VenuePain Physician · 2021
Typereview
Languageen
FieldMedicine
TopicSurgical site infection prevention
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMeta-analysisConfidence intervalOdds ratioCochrane LibraryRandomized controlled trialVancomycinInternal medicineSurgery

Abstract

fetched live from OpenAlex

BACKGROUND: Intrawound treatments have been reported to have favorable efficacy for preventing surgical site infection (SSI); however, the best strategy remains unknown. OBJECTIVE: The aim of this systematic review and network meta-analysis was to evaluate the efficacy of intrawound treatments to prevent SSI after spine surgery. STUDY DESIGN: A systematic review and network meta-analysis. METHODS: We searched the Cochrane Library, EMbase, PubMed, Chinese Science and Technology Periodical Database (VIP), China National Knowledge Infrastructure (CNKI), and Wanfang Data from the date of inception to March 2, 2020. The randomized controlled trials (RCTs) and cohort studies were identified and extracted by 2 reviewers independently. We performed a traditional pairwise meta-analysis to evaluate overall efficacy of intrawound treatments. Meanwhile, a network meta-analysis was performed to compare and rank the treatment efficacy using frequentist approach. RESULTS: Thirty-three publications (6 RCTs and 27 retrospective cohort studies) were included, involving 22,763 patients. For pairwise meta-analysis, the combined results showed that the intrawound treatment had a significantly lower SSI rate than the control group (CG) (odds ratio [OR] = 0.41; 95% confidence interval [CI], 0.31-0.55). For network meta-analysis, the treatment of vancomycin (VA) (OR = 0.53; 95% CI, 0.39-0.71), povidone-iodine (PI) (OR = 0.10; 95% CI, 0.04 - 0.23), and vancomycin + povidone-iodine (VA+PI) (OR = 0.25; 95% CI, 0.11-0.58) were found to be significantly more efficacious than CG on reduction of SSI rate. PI ranked first on reducing SSI, followed by PI+HP, VA+PI, gentamicin (GM), VA, and hydrogen peroxide (HP); CG ranked last. LIMITATIONS: Firstly, only 6 RCTs are included in this systematic review. Retrospective cohort studies tend to exaggerate the real results, although most of them are high-quality according to the Newcastle-Ottawa Quality Assessment Scale (NOQAS). More high-quality RCTs need to be included to obtain convincing conclusions. Secondly, the population of this study involves both adult and pediatric cohorts, patients with tumor, congenital disease, or degenerative disease. There is no subgroup analysis for ages and type of diseases, which might have influence on the overall pooled analysis. Thirdly, we define the application of saline solution and no intrawound treatment as the control group, which might ignore their heterogeneity. Fourthly, follow-up periods are variable and the sample size of HP is small. Finally, additional research is needed to compare the complications of different treatments and the benefits of various dosages. CONCLUSION: We found that VA and PI show promising results on reducing SSI. PI is recommended as the most efficacious intrawound treatment to prevent SSI after spine surgery.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.544
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0140.008
Bibliometrics0.0000.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.056
GPT teacher head0.360
Teacher spread0.304 · 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

Citations9
Published2021
Admission routes1
Has abstractyes

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