Evidence map›Paper›PMID 42401902›Full record

ArticleBMC cancer2026

Non-linear association between body mass index and port-related thrombosis in breast cancer patients: a retrospective cohort study.

Yanzhen Chen, Duanduan Wang, Liangqiang Li, Tingting Lin, Xiaoju Lin, Xianqiang Du, Weibin Lian

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Article in BMC cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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7 authors.

Yanzhen Chen *Department of Breast Surgery, Quanzhou First Hospital, Fujian Medical University, Quanzhou, Fujian, 362000, P.R. China.
Duanduan Wang *Department of Cardiothoracic Surgery, The Fifth Hospital of Xiamen, Xiamen, Fujian, 361000, P.R. China.
Liangqiang Li *Department of Breast Surgery, Quanzhou First Hospital, Fujian Medical University, Quanzhou, Fujian, 362000, P.R. China.
Tingting LinDepartment of Intensive Care Unit, Quanzhou First Hospital, Fujian Medical University, Quanzhou, Fujian, 362000, P.R. China.
Xiaoju LinDepartment of Breast Surgery, Quanzhou First Hospital, Fujian Medical University, Quanzhou, Fujian, 362000, P.R. China.
Xianqiang DuDepartment of Breast Surgery, Quanzhou First Hospital, Fujian Medical University, Quanzhou, Fujian, 362000, P.R. China. dxq20140528@163.com.
Weibin LianDepartment of Breast Surgery, Quanzhou First Hospital, Fujian Medical University, Quanzhou, Fujian, 362000, P.R. China. dr_weibinlian@fjmu.edu.cn.

Funding

Joint Funds for the innovation of science and Technology, Fujian province, China No. 2025Y9500
6 · The paper itself

Abstract

backgroundThe association between body mass index (BMI) and the risk of catheter-related thrombosis in breast cancer patients remains unclear, particularly regarding potential non-linear relationships and clinically relevant thresholds. This study aimed to investigate the impact of BMI on the risk of port-related thrombosis and to characterize its dose-response pattern.

methodsThis retrospective cohort study included 1,247 breast cancer patients who underwent totally implantable venous access port (TIVAP) implantation at a single center between January 2019 and September 2025. Restricted cubic spline (RCS) analysis was performed to explore the non-linear association between BMI and thrombosis risk and to identify a potential threshold. Based on the RCS results, patients were categorized into two groups (BMI ≤ 23 vs. > 23 kg/m²). Logistic regression analyses were conducted to identify independent risk factors, and Kaplan-Meier analysis was used to evaluate thrombosis-free survival.

resultsRCS analysis revealed a non-linear association between BMI and the risk of port-related thrombosis, with a threshold at approximately 23 kg/m², beyond which the risk increased progressively. The incidence of thrombosis was significantly higher in patients with BMI > 23 kg/m² compared with those with BMI ≤ 23 kg/m² (9.30% vs. 5.58%, P = 0.013). In multivariate logistic regression analysis, BMI > 23 kg/m² remained an independent risk factor for thrombosis (OR = 1.58, 95% CI: 1.02-2.47, P = 0.042), while hypertension was also associated with increased risk (OR = 2.53, 95% CI: 1.37-4.66, P = 0.003), and HER2-positive status was associated with a lower risk of thrombosis (OR = 0.58, 95% CI: 0.36-0.93, P = 0.024). Kaplan-Meier analysis showed that patients with higher BMI had significantly lower thrombosis-free survival, with early curve separation and a progressively widening difference over time.

conclusionsElevated BMI is significantly associated with an increased risk of port-related thrombosis in breast cancer patients, with a non-linear dose-response relationship and a threshold effect at approximately 23 kg/m². These findings suggest that BMI may serve as a clinically useful marker for risk stratification and highlight the importance of tailored thromboprophylaxis strategies in high-risk patients.

Indexed as

Body Mass IndexBreast NeoplasmsCatheters, IndwellingThrombosisVascular Access DevicesAdultAgedFemaleHumansIncidenceMiddle AgedRetrospective StudiesRisk FactorsBody mass indexBreast cancerPort-related thrombosisRisk factors

Identifiers

PMID42401902
PMCPMC13613754

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