Evidence map›Paper›PMID 42305774›Full record

ArticleRisk management and healthcare policy2026

Risk Factors and Development of a Risk Prediction Model for PICC-Related Thrombosis in Radiotherapy Inpatients: A Single-Center Retrospective Cohort Study.

Qin-Mei Lin, Qin-Lin Guo, Zhuang-Bin Lin, Ai-Ying Chen, Zhen Chen, Qiu-Yan Zhang, Li-Yuan Chen, Bi-Hua Lin

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Article in Risk management and healthcare policy, 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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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Qin-Mei Lin *Department of Outpatient Nursing, Fujian Medical University Union Hospital, Fuzhou, Fujian, 350001, People's Republic of China.
Qin-Lin Guo *Department of Radiation Oncology Nursing, Fujian Medical University Union Hospital, Fuzhou, Fujian, 350001, People's Republic of China.
Zhuang-Bin LinDepartment of Radiation Oncology, Fujian Medical University Union Hospital, Fuzhou, Fujian, 350001, People's Republic of China.
Ai-Ying ChenDepartment of Radiation Oncology Nursing, Fujian Medical University Union Hospital, Fuzhou, Fujian, 350001, People's Republic of China.
Zhen ChenDepartment of Vascular Access, Fujian Medical University Union Hospital, Fuzhou, Fujian, 350001, People's Republic of China.
Qiu-Yan ZhangDepartment of Radiation Oncology Nursing, Fujian Medical University Union Hospital, Fuzhou, Fujian, 350001, People's Republic of China.
Li-Yuan ChenDepartment of Vascular Access, Fujian Medical University Union Hospital, Fuzhou, Fujian, 350001, People's Republic of China.
Bi-Hua LinDepartment of Radiation Oncology Nursing, Fujian Medical University Union Hospital, Fuzhou, Fujian, 350001, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to identify independent risk factors associated with peripherally inserted central catheter-related venous thrombosis (PICC-RVT) in patients undergoing radiotherapy and to develop a risk prediction model to support early identification and inform targeted preventive strategies. Methods: A single-center retrospective cohort study was conducted involving 335 patients with malignant tumors who underwent PICC placement in the Department of Radiotherapy Oncology between August 2023 and September 2024. Participants were randomly assigned to a modeling group (n = 250) and a validation group (n = 85) in a 3:1 ratio. Univariate analyses were conducted to identify potential risk factors, followed by multivariate logistic regression to determine independent predictors. A risk prediction model was subsequently constructed, and its performance was assessed using receiver operating characteristic (ROC) curve analysis. Results: Of the 335 patients who underwent ultrasound examination, 70 were found to have thrombosis, yielding a PICC-related thrombosis incidence of 20.89% (70/335). Of these, 5 cases (7.14%) were symptomatic and 65 (92.86%) were asymptomatic. Univariate analysis indicated significant associations between thrombosis and both disease diagnosis ( Conclusion: The predictive model identified total cumulative radiation dose and a prior history of thrombosis as independent risk factors for PICC-RVT in patients receiving radiotherapy. However, the model's specificity was low, restricting its utility to preliminary screening. Future studies with larger sample sizes and multicenter validation are needed to optimize the model and improve its predictive performance.

Indexed as

influencing factorsPICC-related thrombosisprediction modelsradiotherapy

Identifiers

PMID42305774
PMCPMC13265402

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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.