Evidence map›Paper›PMID 40047932›Full record

SynthesisAesthetic plastic surgery2025

Effect of Different Medications on Capsule Formation Around Miniaturized Breast Implants in Murine Models-a Systematic Review.

Theodor Mareş, Guido Firmani, Cristian Radu Jecan, Fabio Santanelli di Pompeo, Michail Sorotos

Abstract readSystematic Review
In one paragraph

Synthesis in Aesthetic plastic surgery, 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

5 authors.

Theodor MareşCarol Davila University of Medicine and Pharmacy, Bucharest, Romania.
Guido FirmaniDepartment of Plastic and Reconstructive Surgery, Sant'Andrea Hospital, NESMOS (Neurosciences, Mental Health and Sensory Organs) Department, Faculty of Medicine and Psychology, Azienda Ospedaliera Sant'Andrea - U.O.D. Chirurgia Plastica, Sapienza University of Rome, Via di Grottarossa 1035/1039, 00189, Rome, Italy.
Cristian Radu JecanCarol Davila University of Medicine and Pharmacy, Bucharest, Romania.
Fabio Santanelli di PompeoDepartment of Plastic and Reconstructive Surgery, Sant'Andrea Hospital, NESMOS (Neurosciences, Mental Health and Sensory Organs) Department, Faculty of Medicine and Psychology, Azienda Ospedaliera Sant'Andrea - U.O.D. Chirurgia Plastica, Sapienza University of Rome, Via di Grottarossa 1035/1039, 00189, Rome, Italy.
Michail SorotosDepartment of Plastic and Reconstructive Surgery, Sant'Andrea Hospital, NESMOS (Neurosciences, Mental Health and Sensory Organs) Department, Faculty of Medicine and Psychology, Azienda Ospedaliera Sant'Andrea - U.O.D. Chirurgia Plastica, Sapienza University of Rome, Via di Grottarossa 1035/1039, 00189, Rome, Italy. michail.sorotos@uniroma1.it.ORCID 0000-0002-4822-3794

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast implants (BIs) lead to the formation of a periprosthetic capsule, causing complications like capsular contracture. Gel bleeding, involving minor silicone gel leakage through the intact implant shell, significantly promotes capsular contracture. Various pharmacological and surface treatment strategies have been explored to mitigate these issues.

objectivesThis review assesses the effectiveness of different pharmacological interventions and BIs surface coatings on periprosthetic capsule development in murine models.

methodsA systematic review adhering to the PRISMA protocol was conducted. Databases searched included PubMed, Google Scholar, Cochrane Library, and LILACS using keywords: (Murine) AND (Breast) AND/OR (Implant), covering studies from 1977 to 2022. Experimental studies on miniature breast implants in murine models involving medications, surface treatments, or post-surgical therapies were included. Exclusions were studies without pharmacological agents, those testing bacterial contamination, radiotherapy, or involving different animal models or humans.

resultsTwenty-nine articles were reviewed. Significant reductions in capsule thickness and inflammation were noted with certain pharmacological treatments. Corticosteroids and immunosuppressants were effective but raised concerns about wound healing and tumor recurrence. Leukotriene receptor antagonists (LTRA) showed promise in reducing capsule formation, especially in textured implants. Acellular dermal matrices (ADMs) enhanced tissue integration and reduced complications regardless of texture.

conclusionsAdvancements have been made in therapies to influence capsular formation around silicone implants. However, clinical validation remains limited due to small sample sizes and short study periods. ADMs and LTRAs appear most promising, warranting further long-term clinical studies to fully understand their potential benefits in improving breast implant biocompatibility. NO LEVEL ASSIGNED: This journal requires that authors assign a level of evidence to each submission to which Evidence-Based Medicine rankings are applicable. This excludes Review Articles, Book Reviews, and manuscripts that concern Basic Science, Animal Studies, Cadaver Studies, and Experimental Studies. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

Indexed as

Breast ImplantationBreast ImplantsImplant Capsular ContractureAnimalsDisease Models, AnimalFemaleHumansMiceMiniaturizationModels, AnimalProsthesis DesignSilicone GelsSilicone GelsBreast implantsCapsular contractureGel bleedingPharmacological interventions

Identifiers

PMID40047932
PMCPMC12310916

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.