ArticleScientific reports2019
BMI and specimen weight: impact on personalized risk profiling for optimized informed consent in breast reduction surgery?
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
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Who cites it
5 citing papers in PubMed, 7 citations in OpenAlex.
- Body Mass Index: Does It Really Matter for Breast Reductions?Plastic and reconstructive surgery. Global open · 2026Article
- Safe Reproducible Breast Reduction.Plastic and reconstructive surgery. Global open · 2023Review
- BMI and Revision Surgery for Abdominoplasties: Complication Definitions Revisited Using the Clavien-Dindo Classification.Plastic and reconstructive surgery. Global open · 2023Article
- The Postsurgical Clavien-Dindo Classification in Minor Surgery Can Improve Perception and Communication (Investigation on Blepharoplasty).Journal of personalized medicine · 2022Article
- Predictive Patient Characteristics and Surgical Variables That Influence Postoperative Complications following Bilateral Reduction Mammoplasty.Plastic and reconstructive surgery. Global open · 2022Article
Corrections and comments
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Authors and funding
11 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We aimed to evaluate the interaction between individual risk factors and institutional complication rates after reduction mammaplasties to develop a chart for a personalized written patient informed consent. We retrospectively reviewed charts of 804 patients who underwent bilateral breast reduction between 2005 and 2015. The Clavien-Dindo classification was used to classify postoperative complications. Relevant predictors were found by applying a stepwise variable selection procedure. Multilevel predictors were assessed through chi-square tests on the respective deviance reductions. 486 patients were included. The most common complications were wound healing problems (n = 270/56%), foreign body reactions (n = 58/12%), wound infections (n = 45/9, 3%) and fat tissue necrosis (n = 41/8%). The risk factors for the personalized patient chart for the most common complications influencing the preoperative informed consent were: smoking, operative technique, resection weight for wound healing problems; body mass index and allergies for wound infections; and patients' age, resection weight for fat tissue necrosis. The resultant chart of institutionally encountered most common complications based on individual risk factors is a graphical template for obtaining patient informed consent in the future. Whether this approach influences patient information retainment, incidence of filed lawsuits or behavioral change needs to be prospectively tested in future studies.
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