Evidence map›Paper›PMID 42698640›Full record

ArticlePlastic and reconstructive surgery. Global open2026

Pilot Study: Dermal Regenerative Templates for Complex Wound Management: Adding a New Rung to the Reconstructive Ladder.

Natalia Mejia, Gabrielle Knauer, Sajni Parikh, Alexander H Chang, Jose Cataneo, Gianluca Tripodi, Sameer A Patel, Adam Walchak

Abstract read
In one paragraph

Article in Plastic and reconstructive surgery. Global open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Natalia MejiaFrom the Division of Plastic and Reconstructive Surgery, LKSOM Temple University Hospital/Fox Chase Cancer Center, Philadelphia, PA.
Gabrielle KnauerFrom the Division of Plastic and Reconstructive Surgery, LKSOM Temple University Hospital/Fox Chase Cancer Center, Philadelphia, PA.
Sajni ParikhFrom the Division of Plastic and Reconstructive Surgery, LKSOM Temple University Hospital/Fox Chase Cancer Center, Philadelphia, PA.
Alexander H ChangFrom the Division of Plastic and Reconstructive Surgery, LKSOM Temple University Hospital/Fox Chase Cancer Center, Philadelphia, PA.
Jose CataneoFrom the Division of Plastic and Reconstructive Surgery, LKSOM Temple University Hospital/Fox Chase Cancer Center, Philadelphia, PA.
Gianluca TripodiDivision of Plastic and Reconstructive Surgery, St. Luke's Hospital System, Bethlehem, PA.
Sameer A PatelFrom the Division of Plastic and Reconstructive Surgery, LKSOM Temple University Hospital/Fox Chase Cancer Center, Philadelphia, PA.
Adam WalchakFrom the Division of Plastic and Reconstructive Surgery, LKSOM Temple University Hospital/Fox Chase Cancer Center, Philadelphia, PA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Skin grafting with dermal regenerative templates (DRTs) has emerged as an effective option within the reconstructive ladder for coverage of full-thickness wounds. This approach reduces the need for flap reconstruction, shortens hospitalization, and minimizes wound-related morbidity while improving functional and aesthetic outcomes. We present a case series of patients treated with a novel hydrogel-based DRT (hDRT) composed of type I bovine collagen microspheres embedded within a lower density type I bovine collagen hydrogel. We describe outcomes of wounds treated using this template. Methods: A retrospective chart review of patients who underwent definitive coverage of full-thickness skin defects with an hDRT was performed. Results: Thirteen defects in 10 patients underwent reconstruction. Defect locations included the face, scalp, and extremities. Wound etiologies included oncological, traumatic, and donor-site defects. Exposed tissues included tendon, bone, nerve, and galea. Defect size ranged from 2 to 100 cm Conclusions: This novel dual-density hDRT demonstrated favorable results in wound reconstruction as a result of accelerated vascularization leading to reduced treatment time and patient morbidity. Larger studies are required to compare the efficacy with other products on the market.

Identifiers

PMID42698640
PMCPMC13542059

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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.