ArticleClinical and experimental medicine2025
Development and validation of a nomogram risk prediction model for PICC-related thrombosis in children with hematological malignancies.
Article in Clinical and experimental medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
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Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Risk prediction models for central venous catheter-related complications in children: a systematic review.BMC pediatrics · 2026Pooled it
- Article
- Risk prediction model for thrombosis in leukemia patients: a systematic review.Frontiers in oncology · 2026Review
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Authors and funding
7 authors.
Funding
Abstract
Early identification of high-risk patients is crucial for preventing peripherally intravenous central catheter (PICC)-related thrombosis in children with hematological malignancies. This study aims to develop and validate a clinical risk prediction tool for PICC-related thrombosis. A retrospective analysis was conducted on 519 children with hematological malignancies who underwent PICC catheterization at Tongji Hospital between January 2018 and December 2023. Among these children, 98 (18.9%) developed PICC-related thrombosis. A total of 54 potential predictor variables were analyzed, and six independent risk factors were identified: leukemia, number of catheters, history of catheterization, total parenteral nutrition, post-catheterization D-dimer, and post-catheterization fibrinogen. The prediction model constructed based on these factors demonstrated good predictive performance with the area under the curve of 0.844 (95% CI 0.787-0.900) for the training set and 0.794 (95% CI 0.698-0.890) for the validation set. The calibration curve and decision curve analysis further validated the good calibration and utility of the model. Through the visualization of nomogram, the model can provide strong support for the early prediction of PICC-related thrombosis in children with hematological malignancies and holds significant clinical application value.
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