Evidence map›Paper›PMID 40463622›Full record

ArticleFrontiers in surgery2025

Analysis of risk factors for capsular contracture after breast augmentation: a retrospective study.

Xin-Yao Li, Shi-Qi Xiao

Abstract read
In one paragraph

Article in Frontiers in surgery, 2025. 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

2 authors.

Xin-Yao LiDepartment of Plastic Surgery, Shenzhen Yixing Medical Beauty Hospital, Shenzhen, Guangdong, China.
Shi-Qi XiaoSchool of Food and Drug, Shenzhen Polytechnic University, Shenzhen, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Capsular contracture is a prevalent complication following breast augmentation that adversely affects aesthetic outcomes and often necessitates revision surgery. This study aimed to assess potential predictors of capsular contracture in patients undergoing primary breast augmentation. Methods: In this retrospective study, 212 patients (386 implant insertions) who underwent primary breast augmentation with silicone implants at our institution between January 2019 and December 2022 were included. Patients were stratified based on the presence of capsular contracture, diagnosed and graded by board-certified plastic surgeons using the Baker classification system. Demographic, clinical, and surgical parameters-including age, body mass index (BMI), smoking history, lactation history, implant characteristics, surgical approach, and postoperative drainage volume-were recorded. Statistical analyses were performed using SPSS version 26.0 (Statistical Package for the Social Sciences). Univariate analysis was conducted with Results: Univariate analysis demonstrated that variables such as age, BMI, and drainage volume did not significantly differ between groups. However, smoking history, oversized implants, and hematoma occurrence were significantly associated with capsular contracture. Multivariate logistic regression confirmed that a positive smoking history [odds ratio [OR] = 2.95, 95% confidence interval [CI]: 1.38-6.38], implant oversizing (OR = 6.00, 95% CI: 2.44-14.80), and hematoma formation (OR = 14.60, 95% CI: 1.78-118.90) independently increased the risk. Conclusions: This study identifies smoking, implant oversizing, and hematoma as significant modifiable risk factors for capsular contracture following breast augmentation. These findings underscore the importance of careful preoperative planning and patient counseling to mitigate postoperative complications.

Indexed as

breast augmentationcapsular contracturehematomaoversized implantssmoking

Identifiers

PMID40463622
PMCPMC12129903

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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.