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

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    Patent Pending

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    Prognostic Index for Cancer Outcomes

    Predicts cancer mortality from serum biomarkers.
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    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
    About the Creator
    Dr. Goulnar Kasymjanova

    Result:

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    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