Evidence map›Paper›PMID 40770497›Full record

ArticleAesthetic plastic surgery2025

National Trends in Immediate and Early Delayed Postmastectomy Breast Reconstruction: An Updated Population-Based Study of 84,088 Reconstructed Patients.

Mingshuai Sun, Ao Fu, Xingyi Du, Hao Dong, Siyu Hou, Chunjun Liu

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Article 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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. "Going Flat" After Mastectomy: A Social Media Analysis of Patient Perspectives and Educational Needs.Journal of cancer education : the official journal of the American Association for Cancer Education · 2026
    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

6 authors.

Mingshuai SunDepartment of Oncoplastic Reconstructive and Aesthetic Breast Surgery, Plastic Surgery Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, No. 33 Badachu Road, Shijingshan District, Beijing, 100144, China.
Ao FuDepartment of Oncoplastic Reconstructive and Aesthetic Breast Surgery, Plastic Surgery Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, No. 33 Badachu Road, Shijingshan District, Beijing, 100144, China.
Xingyi DuBreast Center, Peking University People's Hospital, Beijing, 100044, China.
Hao DongDepartment of Oncoplastic Reconstructive and Aesthetic Breast Surgery, Plastic Surgery Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, No. 33 Badachu Road, Shijingshan District, Beijing, 100144, China.
Siyu HouDepartment of Oncoplastic Reconstructive and Aesthetic Breast Surgery, Plastic Surgery Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, No. 33 Badachu Road, Shijingshan District, Beijing, 100144, China.
Chunjun LiuDepartment of Oncoplastic Reconstructive and Aesthetic Breast Surgery, Plastic Surgery Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, No. 33 Badachu Road, Shijingshan District, Beijing, 100144, China. liuchunjun@psh.pumc.edu.cn.ORCID 0000-0002-4741-058X

Funding

Capital's Funds for Health Improvement and Research 2024-1-4041Funds of Peking Union Medical College, Plastic Surgery Hospital YS202016
6 · The paper itself

Abstract

backgroundThere remain ongoing concerns regarding the accessibility of breast reconstruction. We aimed to analyze recent data from the Surveillance, Epidemiology, and End Results (SEER) database to reveal trends in immediate and early delayed breast reconstruction across the United States.

methodsPatients undergoing mastectomy from 2010 to 2020 were identified using the SEER database. The trends of postmastectomy reconstruction were described. Multivariate logistic regressions were performed to identify covariates associated with reconstruction. Multiple comparisons based on logistic models were employed to assess interactions among reconstruction-related factors.

resultsA total of 84,088 patients underwent reconstruction within four months following mastectomy, accounting for 36.4% of all postmastectomy patients. Immediate and early delayed reconstruction use increased from 26.4% in 2010 to 41.8% in 2020, with increased proportion of implant-based techniques over time. The receipt of reconstruction among younger patients not only demonstrated a higher proportion, but also exhibited a more significant upward trend over the years (P for interaction < 0.001). The correlation between substantial partner support and willingness for reconstruction was stronger among older patients (P for interaction < 0.001). While patients exhibiting favorable responses to neoadjuvant therapy typically displayed heightened propensities for reconstruction, this disparity was particularly pronounced among older individuals (P for interaction < 0.001).

conclusionBreast reconstruction has increased over time, with implant-based reconstruction being the most common approach employed. The decision-making process for reconstruction is influenced by various factors, with noteworthy interactions among them. Collaboration among patients, tumor surgeons, and reconstructive surgeons is essential for reconstruction decisions. LEVEL OF EVIDENCE III: 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 NeoplasmsMammaplastyMastectomyAdultAgedAge FactorsFemaleHumansLogistic ModelsMiddle AgedRetrospective StudiesRisk AssessmentSEER ProgramTime FactorsTime-to-TreatmentUnited StatesBreast cancerInteractionMastectomyReconstructionSEER

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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.