ArticleEvidence-based complementary and alternative medicine : eCAM2021
Efficacy of Oxidized Regenerated Cellulose/Collagen Dressing for Management of Skin Wounds: A Systematic Review and Meta-Analysis.
Article in Evidence-based complementary and alternative medicine : eCAM, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 6 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 10 citations in OpenAlex.
- Clinical efficacy of blood derivatives on wound healing: A systematic review and network meta-analysis.International wound journal · 2024Pooled it
- A meta-analysis examined the effect of oxidised regenerated cellulose/collagen dressing on the management of chronic skin wounds.International wound journal · 2023Pooled it
- Current status, challenges, and prospects of artificial intelligence applications in wound repair theranostics.Theranostics · 2025Review
- Article
- Retracted: Efficacy of Oxidized Regenerated Cellulose/Collagen Dressing for Management of Skin Wounds: A Systematic Review and Meta-Analysis.Evidence-based complementary and alternative medicine : eCAM · 2023Article
- Superior Technique for the Production of Agarose Dressing Containing Sericin and Its Wound Healing Property.Polymers · 2021Article
Corrections and comments
- Retraction · 2023-12-13Compromised Peer Review · Investigation by Journal/Publisher · Investigation by Third Party · Paper Mill · Unreliable Results and/or Conclusions ·
- Retracted
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe purpose of this study was to evaluate the wound healing efficacy of oxidized regenerated cellulose (ORC)/collagen dressing and ORC/collagen/silver-ORC dressings compared to standard of care or control in treatment of chronic skin wounds such as diabetic foot ulcers (DFUs), venous leg ulcers (VLUs), and pressure injuries sore ulcers (PISUs).
methodsAn electronic search was carried out in four popular databases PubMed, Scopus, Embase, and CENTRAL to identify thirteen included studies, comparing the clinical efficacy of ORC/collagen dressings when compared to control in management of chronic skin wounds, especially DFUs, VLUs, and PISUs, and skin graft donor site wounds.
resultsConsolidated data from thirteen comparative clinical studies undertaken for management of DFUs, VLUs, and PISUs showed favorable outcomes towards use of ORC/collagen compared to other traditional and hydrocolloid foam dressings in terms of wound healing rate (
conclusionORC/collagen wound dressings are beneficial in terms of improved wound healing rate and percentage wound relative reduction compared to already existing traditional standard of care with non-MMP, inhibiting biomaterials such as moistened gauze, autologous growth factors, hydrocolloid foam dressings, or ovine extracellular matrix.
Identifiers
What OpenQuestion 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 OpenQuestion graph.