Risk prediction models for venous thromboembolism in lung cancer patients after surgery: a systematic review and meta-analysis - Top-Institutions - MDSpire

Risk prediction models for venous thromboembolism in lung cancer patients after surgery: a systematic review and meta-analysis

  • By

  • Tenglu Sun

  • Yuanyuan Chen

  • Xuli Shang

  • Haifang Lin

  • Yongxia Wang

  • He Wei

  • Fei Yang

  • May 20, 2026

  • 0 min

Share

Top Institutions in Oncology

Brief introduction explaining scope and methodology.

  • #1

    North Estonia Medical Centre (NEMC) Foundation
    North Estonia Medical Centre (NEMC) Foundation

    Tallinn, Harju County

    Key Differentiators

    • Surgical Oncology

  • #2

    Stanford NSCLC Radiogenomics
    Stanford NSCLC Radiogenomics

    Stanford, California

    Key Differentiators

    • Surgical Oncology

  • #3

    Wuhan Union Hospital
    Wuhan Union Hospital

    Wuhan, Hubei

    Key Differentiators

    • Surgical Oncology

  • #4

    University of Wisconsin School of Medicine and Public Health
    University of Wisconsin School of Medicine and Public Health

    Madison, Wisconsin

    Key Differentiators

    • Surgical Oncology

  • #5

    University of York
    University of York

    York, England

    Key Differentiators

    • Surgical Oncology

Original Source(s)

Risk prediction models for venous thromboembolism in lung cancer patients after surgery: a systematic review and meta-analysis

  • by Tenglu Sun, Yuanyuan Chen, Xuli Shang, Haifang Lin, Yongxia Wang, He Wei, Fei Yang

  • May 20, 2026

Related Content

Research advances of tubeless thoracic surgery for pulmonary nodules: current status and future challenges

Editorial: Discovery of small molecule lead compounds: a driving force to unravel new anti-cancer targets and mechanisms, volume III

Dosimetric and clinical outcomes of stereotactic body radiotherapy for primary lung cancer: isocenter-based vs. volume-based prescription