Risk prediction models for depression in older adults with cancer - Takeaways - MDSpire

Risk prediction models for depression in older adults with cancer

  • By

  • Martino Belvederi Murri

  • Guido Sciavicco

  • Michele Specchia

  • Marco Marozzi

  • Angela Muscettola

  • Barbara Zaccagnino

  • Goce Kalcev

  • Michela Atzeni

  • Clelia Madeddu

  • Federica Sancassiani

  • Mauro Giovanni Carta

  • Maria Giulia Nanni

  • Rosangela Caruso

  • Luigi Grassi

  • November 19, 2025

  • 0 min

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  • 1

    Depression significantly affects cancer patients, impacting their quality of life, treatment adherence, and survival rates.

  • 2

    Risk Prediction Models (RPMs) can identify individuals at high risk for depression, enabling earlier interventions and personalized prevention strategies.

  • 3

    The study aims to develop cancer-specific RPMs using advanced machine learning methods and a publicly accessible risk calculator.

  • 4

    Data for RPM development was sourced from the SHARE study, focusing on community-dwelling Europeans aged 55 and older with a history of cancer.

  • 5

    Depression was assessed using the EURO-D scale, with a score of 4 or higher indicating major depression, validated against interview-based diagnoses.

Original Source(s)

Risk prediction models for depression in older adults with cancer

  • by Martino Belvederi Murri, Guido Sciavicco, Michele Specchia, Marco Marozzi, Angela Muscettola, Barbara Zaccagnino, Goce Kalcev, Michela Atzeni, Clelia Madeddu, Federica Sancassiani, Mauro Giovanni Carta, Maria Giulia Nanni, Rosangela Caruso, Luigi Grassi

  • November 19, 2025

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