Creation and internal assessment of a nomogram tailored for lymphoma to forecast venous thromboembolism risk: analysis of a retrospective cohort comprising 790 patients - Scorecard - MDSpire

Creation and internal assessment of a nomogram tailored for lymphoma to forecast venous thromboembolism risk: analysis of a retrospective cohort comprising 790 patients

  • By

  • Lili Pan

  • Wenzheng Lin

  • Yanyan Qiu

  • Jinhua Chen

  • Nainong Li

  • Tingbo Liu

  • November 5, 2025

  • 0 min

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Clinical Scorecard: Creation and internal assessment of a nomogram tailored for lymphoma to forecast venous thromboembolism risk: analysis of a retrospective cohort comprising 790 patients

At a Glance

CategoryDetail
ConditionVenous Thromboembolism in Lymphoma Patients
Key MechanismsIncreased susceptibility due to cancer-related factors and treatment regimens.
Target PopulationPatients with newly diagnosed lymphoma.
Care SettingHematology department in a medical hospital.

Key Highlights

  • Thromboembolism occurs 4 to 7 times more frequently in cancer patients than in the general population.
  • Incidence of thromboembolism in lymphoma patients varies from 4% to nearly 60%.
  • The study identified 77 cases of thromboembolism (9.75%) among 790 lymphoma patients.
  • Upper-limb venous thrombosis was the most common type of thromboembolism observed.
  • The ThroLy score provides refined risk stratification for lymphoma patients.

Guideline-Based Recommendations

Diagnosis

  • Utilize lymphoma-specific models for risk assessment, such as the ThroLy score.

Management

  • Implement prophylaxis strategies based on identified risk factors.

Monitoring & Follow-up

  • Regularly assess patients for signs of thromboembolism, especially post-chemotherapy.

Risks

  • Monitor for increased morbidity and mortality associated with thromboembolism.

Patient & Prescribing Data

790 newly diagnosed lymphoma patients treated at a hematology department.

Thromboembolism risk varies with lymphoma subtype and treatment cycles.

Clinical Best Practices

  • Incorporate disease-specific factors into thromboembolism risk assessments.
  • Use a points-based clinical risk score for bedside decision-making.
  • Conduct thorough assessments of comorbidities and treatment history.

References

Original Source(s)

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