Evidence map›Paper›PMID 41018742›Full record

ArticlePlastic and reconstructive surgery. Global open2025

A New Algorithm for Implant Choice in Aesthetic Breast Procedures Based on the Polytech Portfolio.

Paolo Montemurro, Carlo Mirra, Barbara Cagli

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Paolo MontemurroFrom the Akademikliniken, Stockholm, Sweden.
Carlo MirraDepartment of Plastic, Reconstructive and Cosmetic Surgery, Campus Bio-Medico University Hospital, Rome, Italy.
Barbara CagliDepartment of Plastic, Reconstructive and Cosmetic Surgery, Campus Bio-Medico University Hospital, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Aesthetic breast surgery remains among the most requested procedures in plastic surgery. Since their introduction, breast implants have significantly evolved in terms of composition, surface, and shape. Due to the wide variability in patient anatomy and expectations, no single implant type can universally address all clinical scenarios. Therefore, achieving the best outcome requires a tailored approach. Methods: This study presented a decision-making model developed by the first author (P.M.). The model aims to obtain fully personalized outcomes using the Polytech implant catalog, which offers an extensive range of different breast implant types (such as microtextured, polyurethane, smooth, and lightweight implants), allowing tailored solutions to meet individual patient needs. Results: The model is based on the "Akademikliniken method" by Hedén, a biodimensional method that promotes a nonvolumetric, proportion-oriented approach to breast augmentation. Supported by a comprehensive implant portfolio, it enables tailored surgical planning for primary augmentations, revision procedures, and combined procedures such as mastopexy. The structured algorithm guides surgeons in selecting the most appropriate implant based on individual clinical parameters. Conclusions: The decision-making model described provides a practical and adaptable framework to support surgeons in optimizing surgical outcomes. The breadth of the Polytech portfolio is key to delivering truly personalized outcomes: it not only enhances procedural precision by offering a wide range of tools and options, but also supports professional development through informed, case-specific choices.

Identifiers

PMID41018742
PMCPMC12466897

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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.