Evidence map›Paper›PMID 41376690›Full record

ArticleJPRAS open2026

Biodegradable Temporizing Matrix (BTM) resilience to wound infection: A consecutive case series.

Sasha Wilson, Edward Muscat, Olivia Smith, Alex Noakes, Christopher Wearn

Abstract read
In one paragraph

Article in JPRAS open, 2026. 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

5 authors.

Sasha WilsonDepartment of Plastic Surgery, Southmead Hospital, Southmead Road, Bristol, BS10 5NB, United Kingdom.
Edward MuscatDepartment of Plastic Surgery, Southmead Hospital, Southmead Road, Bristol, BS10 5NB, United Kingdom.
Olivia SmithDepartment of Plastic Surgery, Southmead Hospital, Southmead Road, Bristol, BS10 5NB, United Kingdom.
Alex NoakesDepartment of Plastic Surgery, Southmead Hospital, Southmead Road, Bristol, BS10 5NB, United Kingdom.
Christopher WearnDepartment of Plastic Surgery, Southmead Hospital, Southmead Road, Bristol, BS10 5NB, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PolyNovo® Biodegradable Temporizing Matrix (BTM) has gained favor for reconstructing non-graftable wound beds amid suggestions it is inherently resistant to infection. Evidence is limited to multiple case series and currently the rates of BTM colonization, infection and loss remain unestablished. We report our case series which includes a diverse case-mix of complex wounds successfully reconstructed with BTM, with a novel focus on the rate of infection and related microbiology profile. Our case series included all patients treated with BTM at Southmead Hospital between October 2021 and November 2023. In our cohort, 22 patients had their wounds reconstructed with BTM. Microbiological growth was observed in 76 % of available pre-BTM swabs and subsequently only 14 % (3/22) of all patients experienced clinical infection of BTM. In the case of infection, 66 % (2/3) of patients had successful salvage of BTM. Only one patient (5 %) in the cohort experienced partial BTM loss, with the remainder achieving total wound healing at 3 months. Our study makes a case that microbiological wound swabs prior to BTM application is of limited clinical value. In our experience, salvage techniques can be applied empirically in the case of clinical infection and the vast majority of patients will have successful integration of the BTM.

Indexed as

BTMColonizationComplex woundsInfectionNovoSorb® Biodegradable Temporizing MatrixWound healing

Identifiers

PMID41376690
PMCPMC12688696

What OpenQuestion holds

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LicenceCC BY
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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.