Evidence map›Paper›PMID 39720774›Full record

ArticleCureus2024

Real-World Use and Outcomes of Hard-To-Heal Wounds Managed With Porcine Placental Extracellular Matrix.

Caroline Fife, Ben LeBoutillier, Cristin Taylor, Brad T Marcinek

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

4 authors.

Caroline FifeMedicine, Intellicure, LLC, The Woodlands, USA.
Ben LeBoutillierData Management, Intellicure, LLC, The Woodlands, USA.
Cristin TaylorMedical Affairs, Convatec, Bridgewater, USA.
Brad T MarcinekMedical Affairs, Convatec, Bridgewater, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Real-world data are a highly valuable resource in determining the efficacy of novel products in challenging populations, especially in wound care. This study retrospectively analyzed the real-world performance of porcine placental extracellular matrix (PPECM; InnovaMatrix® AC, Convatec Triad Life Sciences, LLC, Memphis, TN, USA), a novel cellular, acellular, and matrix-like product for the management of hard-to-heal wounds. The US Wound Registry (USWR), which comprises aggregated and structured electronic health records from 502 wound practices, provided a deidentified dataset collected from October 10, 2022 to March 25, 2024, containing 76,278 patients (248,278 wounds). Screening for PPECM usage identified 60 wounds in 41 patients. The median age was 74 (IQR: 66-80) years; 20 (49%) had impaired ambulation, five (12%) autoimmune diseases, and five (12%) peripheral arterial diseases. The most common wounds included 18 (30%) chronic ulcers, 12 (20%) diabetic ulcers, seven (12%) pressure ulcers or injuries, seven (12%) dehisced surgical wounds, and six (10%) venous leg ulcers. Median surface area was 1.50 (IQR: 0.42-4.69) cm²; 31 (52%) of the wounds were limb/life-threatening (L/LT); nine (17%) were present >1 year; 52 (87%) had bioburden/infection. Only two (3%) of the wounds had no necrotic tissue at the initial application. Following PPECM management, 32 (53%) of the wounds closed (of which 14 (44%) were L/LT) and five (8%) had major improvement (three (60%) L/LT). No adverse events were reported. This is the first clinical study of PPECM and demonstrates the real-world safety and efficacy of PPECM in the management of hard-to-heal wounds in a complex population.

Indexed as

cellular acellular and matrix-like producthard-to-heal woundslimb- or life-threateningporcine placental extracellular matrixreal-world dataus wound registry

Identifiers

PMID39720774
PMCPMC11668260

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Registered trials

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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.