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Individualised surgical cancer treatment during the coronavirus pandemic, using Danish patient registries.

Grant number: unknown

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Key facts

  • Disease

    COVID-19

  • Known Financial Commitments (USD)

    $434,400

  • Funder

    UFM Denmark

  • Principal Investigator

    Clinical Professor Dr Med Ismail Gögenur

  • Research Location

    Denmark

  • Lead Research Institution

    Centre for Surgical Sciences, Zealand University Hospital

  • Research Priority Alignment

    N/A

  • Research Category

    Secondary impacts of disease, response & control measures

  • Research Subcategory

    Indirect health impacts

  • Special Interest Tags

    N/A

  • Study Type

    Non-Clinical

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Not Applicable

  • Vulnerable Population

    Not applicable

  • Occupations of Interest

    Unspecified

Abstract

The project group, using machine learning models analyzing data from Danish national registries, will identify cancer patients who face the high risk of a surgically complicated course of treatment, including intensive care unit hospitalization. During the coronary pandemic, their course of treatment can be aimed at preparing them for surgery via out-of-hospital optimisation.