ArticleCureus2025
A Comparative Analysis in the Treatment of Full-Thickness Wounds: Negative-Pressure Wound Therapy (NPWT) Combined With High-Purity Type I Collagen-Based Skin Substitute Versus NPWT Alone.
Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 3 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.
A Randomized Controlled Trial Evaluating High-Purity Type I Collagen Wrap Around Extensor Tendon Repair Sites in Zones VI-VIII of the Hand to Prevent Adhesions and Improve Functional Outcomes
Prospective Multicentre Registry of High-Purity Type I Collagen Nerve Wrapping in Peripheral Nerve Procedures: Early Clinical Outcomes
Who cites it
3 citing papers in PubMed.
- Eight-month functional and scar outcomes following conservative management of an extensive diabetic foot soft-tissue defect using high-purity type I collagen matrix and negative pressure wound therapy: a case report.Journal of surgical case reports · 2026Article
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Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundFull-thickness wounds are a significant clinical burden, especially in patients with chronic comorbidities. They pose a major clinical challenge due to their prolonged healing times and high risk of complications. Advanced wound care strategies like negative-pressure wound therapy (NPWT), which enhances wound healing by reducing edema, promoting granulation tissue formation, and removing exudates and bioengineered skin substitutes such as high-purity type I collagen-based skin substitute (HPTC/Helicoll
methodsThis was a prospective, randomized, open-label, parallel-group clinical trial conducted at the Department of Plastic, Reconstructive, and Aesthetic Surgery, Adichunchanagiri Institute of Medical Sciences (AIMS), Karnataka, India. This study enrolled 104 patients with full-thickness wounds, randomly allocated into two groups: Group A received NPWT combined with HPTC (n = 52), and Group B received NPWT alone (n = 52). The primary outcome was percentage wound area reduction at seven weeks, while secondary outcomes included time to complete epithelialization, proportion achieving complete closure, vascularity infiltration on histology, pain assessment using the Visual Analog Scale (VAS), quality of life (QoL) outcome using the EuroQol 5-Dimension 5-Level (EQ-5D-5L) questionnaire, and scar assessment using Vancouver Scar Scale (VSS) scores. Statistical analysis included Student's t-test, Chi-square test, and Kaplan-Meier survival analysis.
resultsGroup A showed significantly higher mean wound size reduction (p < 0.01) at seven weeks, with Group A demonstrating a reduction of 89.35% ± 16.08 and Group B showing 57.85% ± 12.73 reduction, with p value <0.001 (highly significant). Complete healing was achieved in 45 patients (86.54%) of Group A compared to 22 patients (42.31%) of Group B by seven weeks, being statistically highly significant (p-value < 0.001). Mean time to wound closure was shorter in Group A (36.81 ± 12.88 days) than in Group B (43.94 ± 16.70 days), showing a statistically superior closure rate. Pain scores on the VAS, QoL Assessment using EQ-5D-5L, and scar assessment using the VSS were also significantly in favor of the combination group compared to the NPWT-alone group.
conclusionThe combination of NPWT with HPTC skin substitute (Helicoll
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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.