Evidence map›Paper›PMID 39586860›Full record

ReviewAesthetic plastic surgery2025

Advances in Etiology and Prevention of Capsular Contracture After Breast Implantation.

Dan-Dan Li, Nan Lan, Ping Zhao, Yi-Yin Tang

Abstract readReview
In one paragraph

Review 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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. 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

4 authors.

Dan-Dan Li *The Second Department of Breast Surgery, The Third Affiliated Hospital of Kunming Medical University, No. 519 of Kunzhou Street, Xishan District, Kunming, 650000, China.
Nan Lan *The Second Department of Breast Surgery, The Third Affiliated Hospital of Kunming Medical University, No. 519 of Kunzhou Street, Xishan District, Kunming, 650000, China.
Ping ZhaoThe First Department of Breast Surgery, The Third Affiliated Hospital of Kunming Medical University, Xishan District, No. 519 of Kunzhou Street, Kunming, 650000, China. 13629468050@163.com.
Yi-Yin TangThe Second Department of Breast Surgery, The Third Affiliated Hospital of Kunming Medical University, No. 519 of Kunzhou Street, Xishan District, Kunming, 650000, China. tyy1472@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Capsular contracture (CC) is one of the most common complications of breast implant usage in breast augmentation or reconstruction. The CC approach can cause breast hardening, pain, and varying degrees of deformity, affecting the quality of life of patients. Considerably, it has become one of the most common reasons for frequent surgeries. Nonetheless, the etiology and pathogenesis of CC remain unclear. Moreover, there exist still a lot of uncertainties regarding prevention and treatment measures. In this article, we present discussions on the research status of the etiology, pathogenesis, prevention, and treatment measures of CC. In summary, this study provides a reference for further research on CC and clinical use.Level of Evidence V This journal requires that authors assign a level of evidence to each article. 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 ContractureFemaleHumansQuality of LifeRisk AssessmentBreast implantsDisease preventionImplant capsular contractureProtective agentsSecondary prevention

Identifiers

PMID39586860
PMCPMC12031949

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.