Evidence map›Paper›PMID 40720508›Full record

ArticlePloS one2025

Higher red cell distribution width (RDW) is associated with increased all-cause and cardiovascular mortality in patients with breast cancer: A retrospective analysis of NHANES data (1999-2018).

Xuan Liu, Hao Wu, Saiqian Zhang, Zhu Zhu, Chao Liu, Jinmin Cao

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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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2 citing papers in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Xuan LiuDepartment of Breast and Thyroid Surgery, The First People's Hospital of Xiangtan City, Hunan Province, China.
Hao WuDepartment of General Surgery, Hunan Aerospace Hospital, Changsha, Hunan, China.
Saiqian ZhangDepartment of Dermatology, Hunan Aerospace Hospital, Changsha, Hunan, China.
Zhu ZhuDepartment of Dermatology, Hunan Aerospace Hospital, Changsha, Hunan, China.
Chao LiuDepartment of Dermatology, Hunan Aerospace Hospital, Changsha, Hunan, China.
Jinmin CaoDepartment of Dermatology, Hunan Aerospace Hospital, Changsha, Hunan, China.ORCID https://orcid.org/0009-0002-0167-4050

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe correlation between red cell distribution width (RDW) and mortality in breast cancer participants is not well-defined. This study investigates the association between RDW and both all-cause and cardiovascular mortality in the US population.

methodsA retrospective cohort study was performed using data from 15,806 participants in the NHANES dataset. Multivariable Cox regression models were used to analyze demographic, socioeconomic, clinical, and laboratory factors, with adjustments for potential confounders. Restricted cubic spline (RCS) analysis was utilized to investigate the non-linear associations between RDW and mortality outcomes, and Kaplan-Meier (KM) survival curves were created to illustrate RDW's effect on survival rates. Subgroup analyses and time-dependent ROC curves were also utilized to further assess the predictive value of RDW across different time intervals and patient subgroups.

resultsElevated RDW significantly correlates with a heightened risk of all-cause mortality (adjusted HR 2.13, 95% CI 1.42-3.20) and cardiovascular mortality (adjusted HR 3.94, 95% CI 1.71-9.09) compared to lower RDW in Model 3. The association remained consistent across subgroups, with no significant interaction effects (p > 0.05). The RCS analysis demonstrated a positive linear relationship between RDW and mortality outcomes. Additionally, Kaplan-Meier analysis indicated that individuals with elevated RDW levels exhibited significantly lower survival rates. Time-dependent ROC and AUC analyses demonstrated that RDW was a more robust predictor of short-term mortality, as evidenced by higher AUC values in the initial years following diagnosis.

conclusionsRed cell distribution width (RDW) serves as an independent predictor of both all-cause and cardiovascular mortality in breast cancer patients, showing strong predictive power for outcomes in both the short and long term.

Indexed as

Breast NeoplasmsCardiovascular DiseasesErythrocyte IndicesAdultAgedFemaleHumansKaplan-Meier EstimateMiddle AgedNutrition SurveysProportional Hazards ModelsRetrospective StudiesRisk FactorsROC CurveUnited States

Identifiers

PMID40720508
PMCPMC12303287

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