ArticleFrontiers in cardiovascular medicine2020
Development and Validation of a New Clinical Prediction Model of Catheter-Related Thrombosis Based on Vascular Ultrasound Diagnosis in Cancer Patients.
Article in Frontiers in cardiovascular medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 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
- Development and validation of a prediction model of catheter-related thrombosis in patients with cancer undergoing chemotherapy based on ultrasonography results and clinical information.Journal of thrombosis and thrombolysis · 2022Trial
- 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
- 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
- Development and validation of a nomogram for catheter-related thrombosis prediction in children with central venous catheter: a retrospective observational study.BMC pediatrics · 2024Observational
- 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
- Analyzing venous thromboembolism risk in malignant tumors: thromboelastogram and coagulation factors study.Biomarkers in medicine · 2024Article
- Generation of a Predictive Clinical Model for Isolated Distal Deep Vein Thrombosis (ICMVT) Detection.Medical science monitor : international medical journal of experimental and clinical research · 2023Article
- Conditional catheter-related thrombosis free probability and risk-adapted choices of catheter for lung cancer.Thoracic cancer · 2022Article
- Clinical Nurses' Knowledge, Attitude and Practice of Catheter-Related Thrombosis and Its Influencing Factors: A Cross-Sectional Survey.Risk management and healthcare policy · 2022Article
- 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
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
What OpenQuestion holds
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.