Evidence map›Paper›PMID 39872085›Full record

ArticlePlastic and reconstructive surgery. Global open2025

Secondary Healing Over NovoSorb BTM in the Management of Complex Nasal Defects.

Mary Ellen McMahon, Robert Browne, Safwat Ibrahim

Abstract read
In one paragraph

Article in Plastic and reconstructive surgery. Global open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Mary Ellen McMahonFrom the Department of Plastic and Reconstructive Surgery, Beaumont Hospital, Dublin, Ireland.
Robert BrowneFrom the Department of Plastic and Reconstructive Surgery, Beaumont Hospital, Dublin, Ireland.
Safwat IbrahimFrom the Department of Plastic and Reconstructive Surgery, Beaumont Hospital, Dublin, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The use of PolyNovo NovoSorb biodegradable temporizing matrix (BTM) has become popular for the management of complex wounds, often with the subsequent application of a split-thickness skin graft. To date, there are no published case series describing healing via secondary intention over BTM in the management of small, complex nasal wounds following excision of skin malignancy in the elective setting. Methods: This study consisted of a single-center, consecutive case series. Inclusion criteria consisted of defects with exposed cartilage or bone in wounds located on the nasal dorsum or nasal sidewall resulting from the elective excision of nasal skin malignancies. BTM without skin grafting was used as a single-stage reconstruction in all patients following oncological clearance. After delamination, the wound was left to heal by secondary intention. The Patient and Observer Scar Assessment Scale was used to measure the aesthetic outcome. Results: All 32 cases exhibited 100% integration of BTM and successful wound closure. Two cases required further excision following review of the final histology. The median (SD) overall Patient and Observer Scar Assessment Scale score was 2.7 (±0.81), and the median overall observer score was 3.2 (±0.73). Conclusions: When planning nasal reconstruction following oncological resection, one should consider the patient's comorbidities; their ability to tolerate the anesthetic, surgery, donor skin deficit, and risks; and the technical ability of the operating surgeon. We suggest that the use of BTM without harvesting a skin graft represents a simple, low-risk option for reconstruction of nasal defects that produces acceptable functional and aesthetic outcomes.

Identifiers

PMID39872085
PMCPMC11771598

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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.