Calc Function

    • Calcs that help predict probability of a diseaseDiagnosis
    • Subcategory of 'Diagnosis' designed to be very sensitiveRule Out
    • Disease is diagnosed: prognosticate to guide treatmentPrognosis
    • Numerical inputs and outputsFormula
    • Med treatment and moreTreatment
    • Suggested protocolsAlgorithm

    Disease

    Select...

    Specialty

    Select...

    Chief Complaint

    Select...

    Organ System

    Select...

    Patent Pending

    Log In

    Show
    Forgot your password?
    Log In
    Or create a new account (it's free)

    Forgot Password?

    Enter your email address and we'll send you a link to reset your password.

    Get New Password

    Sign In Required

    To save favorites, you must log in.

    Creating an account is free, easy, and takes about 60 seconds.

    Attention COACH STUDY participants:

    The principal investigators of the study request that you use the official version of the modified score here.

    Prognostic Index for Cancer Outcomes

    Predicts cancer mortality from serum biomarkers.
    Favorite
    When to Use
    Pearls/Pitfalls
    Why Use

    Patients with known cancer.

    • The Prognostic Index (PI) has been evaluated across numerous different cancer cohorts and suggests incrementally worsening prognosis with increasing score.
    • Depending upon patient selection, stage, cancer, and other factors the resulting survival numbers vary widely.

    Multiple studies suggest significantly worse outcome in patients with multiple types of cancer.

    CRP ≤10 mg/L
    CRP >10 mg/L
    WBC ≤ 11 x 10⁹/L
    WBC > 11 x 10⁹/L

    Result:

    Please fill out required fields.

    Next Steps
    Evidence
    Creator Insights

    Advice

    The Prognostic Index (PI) helps stratify prognosis groups and may be a worthy addition to multifactorial evaluations.

    Management

    We are unaware of validated management algorithms using the PI.

    Critical Actions

    The PI requires serum laboratory values and may be relevant when drawn prior to or after cancer diagnosis.

    Formula

    Selection of appropriate levels of serum biomarkers.

    Evidence Appraisal

    mgps pi diagram
    Dr. Goulnar Kasymjanova

    About the Creator

    Goulnar Kasymjanova, MD, is an oncology researcher in the pulmonary diseases division at Sir Mortimer B. Davis Jewish General Hospital in Montreal, Canada. His research focuses on genetic profiling and prognostication of cancer, as well as patient responses to different chemotherapies.

    To view Dr. Goulnar Kasymjanova's publications, visit PubMed

    About the Creator
    Dr. Goulnar Kasymjanova