ArticleTH open : companion journal to thrombosis and haemostasis2018
Predictors of Early Mortality in Cancer-Associated Thrombosis: Analysis of the RIETE Database.
Article in TH open : companion journal to thrombosis and haemostasis, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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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.
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Who cites it
3 citing papers in PubMed.
- Navigating the pause-patient experiences with perioperative anticoagulation interruption: a qualitative study.Research and practice in thrombosis and haemostasis · 2026Article
- Incidence and Risk Factors for Venous Thromboembolism in Female Patients Undergoing Breast Surgery.Cancers · 2022Article
- Happy New Year!TH open : companion journal to thrombosis and haemostasis · 2019Article
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Authors and funding
10 authors.
Funding
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Abstract
Cancer-associated thrombosis (CT) carries a high, heterogeneous, and poorly predicted likelihood of mortality. Thus, we aimed to define predictors of 30-day mortality in 10,025 patients with CT. In a randomly selected derivation cohort, we used recursive partitioning analysis to detect variables that select for a risk of mortality within 30 days. In a validation cohort, we evaluated our results using Cochran-Armitage test. The most common types of cancer were lung (16%), breast (14%), and colorectal (14%); median age was 69 years (range, 14-101); most had metastatic disease (63%); 13% of patients died within 30 days. In the derivation cohort (
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