Association of sociodemographic and oncological features with decision on implant-based versus autologous immediate postmastectomy breast reconstruction in Chinese patients
- PMID: 30950238
- PMCID: PMC6536967
- DOI: 10.1002/cam4.2133
Association of sociodemographic and oncological features with decision on implant-based versus autologous immediate postmastectomy breast reconstruction in Chinese patients
Abstract
Background and objectives: Immediate postmastectomy breast reconstruction (IPBR) has gained wide popularity in China. We sought to clarify the prevalence and predictors of implant-based vs autologous IPBR among Chinese patients.
Methods: A retrospective cohort study was performed using a prospectively maintained database. Women who underwent IPBR during 2001-2017 were included. The modality-specific trends were deciphered by curve fitting analysis. The association of sociodemographic and oncological features with the decision for implant-based vs autologous IPBR was investigated using multivariate logistic regression and structural equation modeling.
Results: Among 905 patients included in the study, 479 underwent implant-based IPBR and 426 underwent autologous procedures. The implant/autologous ratio has increased exponentially over time. Multivariate analysis demonstrated that unmarried patients with BMI ≤ 24 kg/m2 , earlier clinical tumor stage, and preoperative pathological diagnosis of noninvasive lesion are more likely to choose implant-based IPBR compared to autologous procedures. The indirect effects of age, mastectomy type, and neoadjuvant chemotherapy were further demonstrated by the structural equations.
Conclusions: The sociodemographic and oncological features are directly or indirectly associated with the decision on type of IPBR. The findings may facilitate both patients and physicians to make a high-quality decision by holistic evaluation of the sociodemographic and oncological features.
Keywords: breast cancer; decision-making; immediate breast reconstruction; oncological features; sociodemographic characteristics.
© 2019 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.
Conflict of interest statement
The authors have no financial interest to disclose in relation to the content of this article.
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