Positive predictive value and sensitivity of cancer-associated venous thromboembolism diagnoses in the Danish National Patient Register

Overvad, Thure Filskov; Severinsen, Marianne Tang; Johnsen, Søren Paaske; Madsen, Susanne Storm; Kannik, Karina; Stenfeldt, Louise Gundel; Larsen, Torben Bjerregaard; Nielsen, Peter Brønnum

doi:10.1016/j.thromres.2024.109074

Thrombosis Research

2024

DOI: 10.1016/j.thromres.2024.109074

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Positive predictive value and sensitivity of cancer-associated venous thromboembolism diagnoses in the Danish National Patient Register

Thure Filskov Overvad,

Marianne Tang Severinsen,

Søren Paaske Johnsen

et al.

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Cited by 3 publications

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Validating International Classification of Diseases Code 10th Revision algorithms for accurate identification of pulmonary embolism

Bikdeli,

Khairani,

Bejjani

et al. 2024

Journal of Thrombosis and Haemostasis

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Validating International Classification of Diseases Code 10th Revision algorithms for accurate identification of pulmonary embolism

Bikdeli,

Khairani,

Bejjani

et al. 2024

Journal of Thrombosis and Haemostasis

View full text Add to dashboard Cite

Validation of clinical risk assessment scores for venous thromboembolism in patients with cancer: a population-based cohort study

Lanting,

Vágó,

Horváth-Puhó

et al. 2024

Journal of Thrombosis and Haemostasis

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Association between tumour somatic mutations and venous thromboembolism in the 100,000 Genomes Project cancer cohort: a study protocol

Cornish,

Westbury,

Warkentin

et al. 2024

Wellcome Open Res

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Venous thromboembolism (VTE) is a common cause of morbidity and mortality in patients with cancer. There is evidence that specific aberrations in tumour biology contribute to the pathophysiology of this condition. We plan to examine the association between tumour somatic mutations and VTE in an existing cohort of patients with cancer, who were enrolled to the flagship Genomics England 100,000 Genomes Project. Here, we outline an a-priori analysis plan to address this objective, including details on study cohort selection, exposure and outcome definitions, annotation of genetic variants and planned statistical analyses. We will assess the effect of 1) deleterious somatic DNA variants in each gene; 2) tumour mutational burden and 3) tumour mutational signatures on the rate of VTE (outcome) in a pan-cancer cohort. Sensitivity analyses will be performed to examine the robustness of any associations, including adjustment for potentially correlated co-variates: tumour type, stage and systemic anti-cancer therapy. We hope that results from this study may help to identify key genes which are implicated in the development of cancer associated thrombosis, which may shed light on related mechanistic pathways and/or provide data which can be integrated into genetic risk prediction models for these patients.

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Positive predictive value and sensitivity of cancer-associated venous thromboembolism diagnoses in the Danish National Patient Register

Cited by 3 publications

References 39 publications

Validating International Classification of Diseases Code 10th Revision algorithms for accurate identification of pulmonary embolism

Validating International Classification of Diseases Code 10th Revision algorithms for accurate identification of pulmonary embolism

Validation of clinical risk assessment scores for venous thromboembolism in patients with cancer: a population-based cohort study

Association between tumour somatic mutations and venous thromboembolism in the 100,000 Genomes Project cancer cohort: a study protocol

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