ArticleScientific reports2022
A clinical study of peripherally inserted central catheter-related venous thromboembolism in patients with hematological malignancies.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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13 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.
- Prevalence of PICC-related thrombosis in patients with hematological malignancies: a systematic review.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 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
- 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
- Risk factors for catheter-related thrombosis in cancer patients: a systematic review.Frontiers in cardiovascular medicine · 2026Review
- Development and validation of a nomogram for predicting PICC catheter-related bloodstream infection among patients with hematologic malignancies.BMC infectious diseases · 2025Article
- Article
- Prevention of Peripherally Inserted Central Catheter (PICC)-Associated Vein Thrombosis in Cancer: A Narrative Review.Biomedicines · 2025Review
- Short and long term central peripherally inserted catheters in hematological malignancy patients: clinical outcomes and safety. Single centre experience.Ecancermedicalscience · 2025Article
- Catheter-related deep vein thrombosis: Where are we at and where are we going? Updates and ongoing unmet clinical needs.European journal of clinical investigation · 2025Review
- Development of a predictive model for risk factors of multidrug-resistant bacterial pneumonia in critically ill post-neurosurgical patients.Frontiers in public health · 2025Article
- A multi-center big-data approach for precise PICC-RVT prognosis and identification of major risk factors in clinical practice.Heliyon · 2024Article
- The Validation and Modification of the Caprini Risk Assessment Model for Evaluating Venous Thromboembolism after Joint Arthroplasty.Thrombosis and haemostasis · 2024Article
- Integrating deep learning in public health: a novel approach to PICC-RVT risk assessment.Frontiers in public health · 2024Article
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Authors and funding
7 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
This study aimed to explore the risk factors of peripherally inserted central catheter (PICC)-related venous thromboembolism (CRT) in patients with hematological malignancies and the predictive ability of the thrombotic risk assessment models (RAMs). The clinical data of the 117 eligible patients with hematological neoplasms at Mianyang Central Hospital with PICC from May 2018 to May 2020 were analyzed in this retrospective study. Thrombosis risk scores were calculated in patients with image-confirmed PICC-related thromboembolism. CRT occurred in 19 cases. Compared to the CRT-free group, the CRT group was older and showed higher body mass index (BMI), leukocyte count level, and the prevalence of diabetes mellitus. Multivariable logistic regression analysis showed that BMI (P = 0.03) was a significant risk factor for CRT. The area under the receiver operating characteristic curve for the Caprini scale (P = 0.01) was higher than that of the modified Wells scale (P = 0.94), the revised Geneva scale (P = 0.83), Padua scale (P = 0.59), and Michigan scale (P = 0.80). The sensitivity and specificity for the Caprini scale, Padua scale, modified Wells scale, the revised Geneva scale, and Michigan risk score were 63.3%/73.7%, 100%/0.00%, 95.9%/5.3%, 31.6%/73.7%, and 1.0%/99.0%, respectively. Caprini RAM had a better predictive ability for CRT in patients with hematological malignancies. Michigan risk score may not be better than Caprini RAM in this population.
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