Evidence map›Paper›PMID 39247570›Full record

ArticlePlastic and reconstructive surgery. Global open2024

Comparing Cortiva Silhouette to AlloDerm for Use in Prepectoral Two-stage Prosthetic Breast Reconstruction.

Max L Silverstein, Derrick Wan, Arash Momeni

Abstract read
In one paragraph

Article in Plastic and reconstructive surgery. Global open, 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
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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.

Max L SilversteinFrom the Division of Plastic and Reconstructive Surgery, Stanford University School of Medicine, Palo Alto, Calif.
Derrick WanFrom the Division of Plastic and Reconstructive Surgery, Stanford University School of Medicine, Palo Alto, Calif.
Arash MomeniFrom the Division of Plastic and Reconstructive Surgery, Stanford University School of Medicine, Palo Alto, Calif.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The use of acellular dermal matrices (ADMs) in implant-based breast reconstruction has become increasingly routine during the past 20 years. ADMs improve soft-tissue support, facilitate greater tissue expander (TE) fill volumes, and reduce rates of capsular contracture. As the ADM market continues to grow, outcomes studies are necessary to assess the risks and benefits of each product. In this study, we compare the performance of Cortiva Silhouette, the thinnest ADM widely available, to AlloDerm, commonly considered the industry standard. Methods: We performed a retrospective review of 178 consecutive two-stage prosthetic breast reconstructions performed by the senior author. In every case, either Cortiva or AlloDerm was used to provide soft-tissue support during TE placement. Subjects were divided into Cortiva and AlloDerm cohorts and compared across patient characteristics and reconstructive outcomes variables. Results: During the study period, AlloDerm was used in 116 reconstructions; Cortiva was used in 62. After propensity score matching (62 AlloDerm, 62 Cortiva), Cortiva was associated with greater intraoperative and final TE fill volumes, as well as larger silicone implants. Cortiva was also associated with fewer complications overall, and fewer instances of mastectomy skin necrosis, delayed wound healing, and seroma. Conclusions: Cortiva Silhouette is noninferior to AlloDerm in terms of safety and providing soft-tissue support in prepectoral two-stage implant-based breast reconstruction. In this study, Cortiva supported greater TE fill volumes and larger silicone implants relative to AlloDerm and was associated with fewer complications.

Identifiers

PMID39247570
PMCPMC11379484

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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.