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Oncology

Development and validation of a nomogram model for predicting the risk of venous thromboembolism in lymphoma patients undergoing chemotherapy: a prospective cohort study conducted in China

, , , , , , & ORCID Icon show all
Article: 2275665 | Received 07 Sep 2023, Accepted 19 Oct 2023, Published online: 22 Dec 2023

Figures & data

Figure 1. Flowchart detailing the inclusion and exclusion criteria that resulted in the final study cohorts.

Figure 1. Flowchart detailing the inclusion and exclusion criteria that resulted in the final study cohorts.

Table 1. Clinical characteristics of lymphoma patients with or without VTE.

Table 2. Univariate and multivariate analysis of the risk factors for VTE.

Figure 2. Nomogram model predicting 0.5-, 1- and 3-year VTE in lymphoma patients.

Figure 2. Nomogram model predicting 0.5-, 1- and 3-year VTE in lymphoma patients.

Figure 3. (A:0.5-, 1- And 3-year ROC curves for nomogram model, B:0.5-, 1- and 3-year calibration curves of nomogram model.).

Figure 3. (A:0.5-, 1- And 3-year ROC curves for nomogram model, B:0.5-, 1- and 3-year calibration curves of nomogram model.).

Figure 4. 0.5-, 1- And 3-year DCA curves for nomogram models.

Figure 4. 0.5-, 1- And 3-year DCA curves for nomogram models.

Figure 5. K-M curves of different risk levels to estimate the VTE of patients in two groups.

Figure 5. K-M curves of different risk levels to estimate the VTE of patients in two groups.

Data availability statement

The datasets generated and/or analyzed during the current study are not publicly available due to local legal requirements but are available from the corresponding author on reasonable request.