A systematic review and meta-analysis of lung cancer risk prediction models.

Journal: Acta oncologica (Stockholm, Sweden)
PMID: 40356086

Abstract

BACKGROUND: Lung cancer (LC) remains the leading cause of cancer-related mortality worldwide. Early detection through targeted screening significantly improves patient outcomes. However, identifying high-risk individuals remains a critical challenge.

Authors

  • Ghida Khalife
    Department of Public Health, University of Helsinki, Helsinki, Finland. ghida.khalife@helsinki.fi.
  • Matilda Nilsson
    Department of Public Health, University of Helsinki, Helsinki, Finland.
  • Lotta Peltola
    Department of Oncology, Vaasa Central Hospital, Vaasa, Finland.
  • Juho Waris
    Department of Public Health, University of Helsinki, Helsinki, Finland.
  • Antti Jekunen
    Cancer Clinic, Vaasa Central Hospital, Vaasa, Finland; Faculty of Medicine, Oncology Department, University of Turku, Turku, Finland.
  • Riikka-Leena Leskelä
    Department of Public Health, University of Helsinki, Helsinki, Finland; Nordic Healthcare Group, Helsinki, Finland.
  • Heidi Andersén
    Cancer Clinic, Vaasa Central Hospital, Vaasa, Finland; Faculty of Medicine, Oncology Department, University of Turku, Turku, Finland; Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
  • Mikko Nuutinen
    Nordic Healthcare Group, Helsinki, Finland.
  • Eija Heikkilä
    Nordic Healthcare Group, Helsinki, Finland.
  • Susanna Nurmi-Rantala
    MSD Finland, Espoo, Finland.
  • Paulus Torkki
    Department of Public Health, University of Helsinki, Helsinki, Finland.

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