ArticleFrontiers in oncology2024
Risk factors analysis and the establishment of nomogram prediction model for PICC-related venous thrombosis in patients with lymphoma: a double-center cohort-based case-control study.
Article in Frontiers in oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.
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12 citing papers in PubMed, 3 syntheses or guidelines pooled it, 7 citations in OpenAlex.
- Predictors and Risk Assessment Models for Venous Thromboembolism in Patients Diagnosed with Lymphoma: A Systematic Review.Current oncology (Toronto, Ont.) · 2026Pooled it
- Efficacy and safety evaluation of thromboprophylaxis strategies for central venous catheter-related thrombosis in cancer patients: a bayesian network meta-analysis and bibliometric analysis.Frontiers in pharmacology · 2026Pooled 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
- 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
- Experience in treating thrombosis after adjustment of a PICC catheter.Radiology case reports · 2026Article
- Early catheter-related thrombosis in oncology patients with central venous access devices: a narrative review of incidence, mechanisms and clinical implications.Journal of thrombosis and thrombolysis · 2026Review
- Machine learning prediction of PICC-associated thrombotic complications in critically ill patients.BMC medical informatics and decision making · 2026Article
- Risk factors for catheter-related thrombosis in cancer patients: a systematic review.Frontiers in cardiovascular medicine · 2026Review
- Incidence and risk factors for catheter-related thrombosis in elderly patients with malignant tumors: a single-center retrospective cohort study.Frontiers in oncology · 2026Article
- Analysis of risk factors for PICC-related venous thrombosis in patients with hematological malignancies and establishment of a nomogram prediction model.Frontiers in oncology · 2026Article
- Article
- Development and validation of a risk prediction model for PICC-related venous thrombosis in patients with cancer: a prospective cohort study.Scientific reports · 2025Article
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
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Abstract
Objective: The objective of this study is to examine the risk factors associated with the occurrence of PICC-Related Venous Thrombosis (PICC-RVTE) in individuals diagnosed with lymphoma, as well as to develop a predictive risk nomogram model. Methods: A total of 215 patients with lymphoma treated at Yunnan Provincial Tumor Hospital from January 2017 to December 2020 were retrospectively evaluated as the training cohort; 90 patients with lymphoma treated at the Department of Oncology of the First People's Hospital of Anning, Affiliated to Kunming University of Science and Technology during the January 2021 to September 2023 were evaluated as the validation cohort. Independent influencing factors were analyzed by logistic regression, a nomogram was developed and validated, and the model was evaluated using internal and external data cohorts for validation. Results: A total of 305 lymphoma patients were selected and 35 (11.48%) PICC-RVTE occurred, the median time was 13 days. The incidence within 1-2week was 65.71%. Multivariate analysis suggested that the activity amount, thrombosis history(within the last 12 months), ATIII, Total cholesterol and D-dimer levels were independently associated with PICC-RVTE, and a nomogram was constructed based on the multivariate analysis. ROC analysis indicated good discrimination in the training set (area under the curve [AUC] = 0.907, 95%CI:0.850-0.964) and the testing set (AUC = 0.896, 95%CI: 0.782-1.000) for the PICC-RVTE nomogram. The calibration curves showed good calibration abilities, and the decision curves indicated the clinical usefulness of the prediction nomograms. Conclusions: Patients should be advised to undergo color Doppler ultrasound system testing within two week after the implantation of a PICC catheter to detect PICC-RVTE at an early stage. The validated nomogram can be used to predict the risk of catheter-related thrombosis (CRT) in patients with lymphoma who received at least one chemotherapy after PICC catheterization, no bleeding tendency, no recent history of anticoagulant exposure and no severe heart, lung, renal insufficiency. This model has the potential to assist clinicians in formulating individualized treatment strategies for each patient.
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