Trial reportJournal of thrombosis and thrombolysis2022
Development and validation of a prediction model of catheter-related thrombosis in patients with cancer undergoing chemotherapy based on ultrasonography results and clinical information.
Trial report in Journal of thrombosis and thrombolysis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 11 citations in OpenAlex.
- Predictive model for CRT risk in cancer patients with central venous access devices: a systematic review and meta-analysis.Frontiers in medicine · 2025Pooled it
- Risk factors and incidence of central venous access device-related thrombosis in hospitalized children: a systematic review and meta-analysis.Pediatric research · 2024Pooled it
- 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 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
- Incidence and risk factors for catheter-related thrombosis in elderly patients with malignant tumors: a single-center retrospective cohort study.Frontiers in oncology · 2026Article
- Nomograms based on clinical factors to predict abnormal metabolism of psychotropic drugs.Biomedical reports · 2025Article
- Study on PTFE superhydrophobic coating modified by IC@dMSNs and its enhanced antibacterial effect.Journal of advanced research · 2025Article
- Development of a predictive model for risk factors of multidrug-resistant bacterial pneumonia in critically ill post-neurosurgical patients.Frontiers in public health · 2025Article
- Development of a Machine Learning-Based Model for Predicting the Incidence of Peripheral Intravenous Catheter-Associated Phlebitis.Journal of critical care medicine (Universitatea de Medicina si Farmacie din Targu-Mures) · 2024Article
- Integrating deep learning in public health: a novel approach to PICC-RVT risk assessment.Frontiers in public health · 2024Article
- Establishment and validation of a predictive nomogram for central venous catheter-related thrombosis in cancer patients: a retrospective nested case-control study.Frontiers in oncology · 2024Article
- Predicting Catheter-Related Thrombosis in Colorectal Cancer Patients Using Clinical Features in 730 Patients.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/HemostasisArticle
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Central venous catheters can be used conveniently to deliver medications and improve comfort in patients with cancer. However, they can cause major complications. The current study aimed to develop and validate an individualized nomogram for early prediction of the risk of catheter-related thrombosis (CRT) in patients with cancer receiving chemotherapy. In total, 647 patients were included in the analysis. They were randomly assigned to the training (n = 431) and validation (n = 216) cohorts. A nomogram for predicting the risk of CRT in the training cohort was developed based on logistic regression analysis results. The accuracy and discriminatory ability of the model were determined using area under the receiver operating characteristic curve (AUROC) values and calibration plots. Multivariate logistic regression analysis showed that body mass index, risk of cancer-related thrombosis, D-dimer level, and blood flow velocity were independent risk factors of CRT. The calibration plot showed an acceptable agreement between the predicted and actual probabilities of CRT. The AUROC values of the nomogram were 0.757 (95% confidence interval: 0.717-0.809) and 0.761 (95% confidence interval: 0.701-0.821) for the training and validation cohorts, respectively. Our model presents a novel, user-friendly tool for predicting the risk of CRT in patients with cancer receiving chemotherapy. Moreover, it can contribute to clinical decision-making.
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Registered trials
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.