ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2022
A model to assess the risk of peripherally inserted central venous catheter-related thrombosis in patients with breast cancer: a retrospective cohort study.
Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.
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Who cites it
14 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Predictive model for CRT risk in cancer patients with central venous access devices: a systematic review and meta-analysis.Frontiers in medicine · 2025Pooled it
- Incidence and risk factors of PICC-related thrombosis in breast cancer: a meta-analysis.Japanese journal of clinical oncology · 2024Pooled it
- Development and preliminary validation of a PICC-related venous thrombosis risk prediction model for cancer patients: A systematic review and meta-analysis predominantly based on Chinese populations.Asia-Pacific journal of oncology nursing · 2026Review
- Machine learning survival model for personalised prevention of catheter-related thrombosis in tumour patients.Communications medicine · 2026Article
- Risk factors for catheter-related thrombosis in cancer patients: a systematic review.Frontiers in cardiovascular medicine · 2026Review
- Enhancing prediction and stratifying risk: machine learning and bayesian-learning models for catheter-related thrombosis in chemotherapy patients.BMC cancer · 2025Article
- Development and validation of a risk prediction model for PICC-related venous thrombosis in patients with cancer: a prospective cohort study.Scientific reports · 2025Article
- Ultrasonic characteristics of inserted central catheter related fibroblastic sleeve.Scientific reports · 2025Article
- Construction and validation of a nomogram prediction model for the catheter-related thrombosis risk of central venous access devices in patients with cancer: a prospective machine learning study.Journal of thrombosis and thrombolysis · 2025Article
- A multi-center big-data approach for precise PICC-RVT prognosis and identification of major risk factors in clinical practice.Heliyon · 2024Article
- Simple, Effective and Validated. VTE CASE Risk Assessment Score for Venous Thromboembolism in Metastatic Germ Cell Tumour Patients Before First-Line Chemotherapy.Cancer medicine · 2024Article
- Central venous access device terminologies, complications, and reason for removal in oncology: a scoping review.BMC cancer · 2024Article
- Risk Factors and Predictive Models for Peripherally Inserted Central Catheter Unplanned Extubation in Patients With Cancer: Prospective, Machine Learning Study.Journal of medical Internet research · 2023Article
- Biomarkers Associated with Thrombosis in Patients with Peripherally Inserted Central Catheter: A Systematic Review and Meta-Analysis.Journal of clinical medicine · 2023Review
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5 authors.
Funding
Abstract
purposeLimited risk assessment tool to stratify the risk of PICC-related thrombosis (PICC-RVT) in breast cancer patients. This study developed a model to assess the risk of PICC-RVT in breast cancer patients.
methodsWe conducted a retrospective cohort study of 1284 breast cancer patients receiving PICC insertion from January 1, 2015, to August 31, 2019, at a cancer specialized hospital in Hunan province, China. The entire population was divided into two groups at a ratio of 3:1 which included a derivation sample (n = 978), and a validation sample (n = 284). PICC-RVT was confirmed by ultrasonography in the presence of clinical symptoms and signs.
resultsPICC-RVT occurred in 40 (4.09%) of the derivation sample patients. Multivariable analysis identified 9 variables: chronic obstructive pulmonary disease, prior central venous catheter placement, higher level of platelets, higher level of D-dimer, lower level of activated partial thromboplastin time, menopause, no prior breast surgery, upper extremity lymphedema, and endocrine therapy. Points were assigned to each variable according to regression coefficient. The model had an area under the receiver operating characteristics curve (AUC) of 0.850 (95% CI 0.776 to 0.924), The Hosmer-Lemeshow goodness-of-fit was 5.780 (p = 0.328). At a cutoff value of 3.5, the sensitivity and specificity were 75% and 83%, respectively.
conclusionSeveral disease-specific factors of breast cancer (e.g., menopause, endocrine therapy, and upper extremity lymphedema) play important roles in the development of PICC-RVT. Patients at higher PICC-RVT risk could be candidates for close post-insertion monitoring and interventions to prevent PICC-RVT.
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