ArticleInternational wound journal2023
Effectiveness of moist dressings in wound healing after surgical suturing: A Bayesian network meta-analysis of randomised controlled trials.
Article in International wound journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed, 19 citations in OpenAlex.
- Comparative Effectiveness of Fluid Absorption Between Superabsorbent and Foam Dressings in Split-Thickness Skin-Graft Donor Sites: A Randomized Controlled Trial.International wound journal · 2026Trial
- Intensive Care Nurses’ Adherence to Evidence‐Based Clinical Practice Guidelines for the Prevention and Treatment of Pressure Ulcers and Their Self‐Efficacy: A Cross‐Sectional Study.International wound journal · 2026Article
- The evolution and future directions of pressure injury wound dressing research: a bibliometric analysis (2005-2025).Medicine · 2026Article
- Nursing care for a patient with syringomyelia complicated by bacterial pneumonia and severe pressure injury: a case report.Frontiers in medicine · 2026Article
- Artificial Intelligence Versus Human Systematic Literature Review Into Negative-pressure Wound Therapy in Plastic Surgery.Plastic and reconstructive surgery. Global open · 2025Article
- Review
- Fabrication and Properties of the Multifunctional Rapid Wound HealingMolecules (Basel, Switzerland) · 2023Article
- Effectiveness of moist dressings in wound healing after surgical suturing: A Bayesian network meta-analysis of randomised controlled trials.International wound journal · 2023Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
The moist healing theory proves that a moderately moist and airtight environment is conducive to wound healing. However, different moist dressings have different functions. We aim to evaluate the effects of moist dressings on wound healing after surgical suturing and identify superior moist dressings. Randomised controlled trials investigating the application of moist dressings were retrieved from electronic databases, including PubMed, EMBASE, Web of Science, and the Cochrane Library. Wound healing, surgical site infection (SSI), and times of dressing change were assessed. The values of the surface under the cumulative ranking (SUCRA) curve were calculated based on the Bayesian network meta-analysis. Inconsistency tests and funnel plots were applied to analyse the consistency and publication bias. All the analysis complies with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020 Checklist and AMSTAR (Assessing the Methodological Quality of Systematic Reviews) Guidelines. Sixteen randomised controlled trials involving 4444 patients were pooled in the network meta-analysis. The ionic silver dressing (SUCRA, 93%) ranked first in wound healing, the metallic silver dressing (SUCRA, 75.9%) ranked first in SSI, and the hydrocolloid dressing (SUCRA, 73.9%) ranked first in times of dressing change. Inconsistency was only observed in wound healing, and no publication bias was observed in this study. The effects of moist dressings are better than gauze dressings in the process of wound healing. The ionic silver dressing is effective in wound healing, whereas the metallic silver dressing is effective in SSI prevention. The hydrocolloid dressing requires the fewest times of dressing change. More high-quality RCTs are required to support the network meta-analysis.
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What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.