MSKCC Nomogram: Probability of lymph node involvement in prostate cancer patients (includes biopsy cores)
Calculates the probability that prostate cancer has spread to the pelvic lymph nodes (c-index: 0.86). This model includes biopsy cores. 

Disqualifying treatments: This model does not apply to patients who underwent preoperative hormone- or radiation therapy for prostate cancer. 
Research authors: Source: Memorial Sloan Kettering Cancer Center (US)
Details Custom formula Study characteristics Files & References
Model author
Model ID
440
Version
2.15
Revision date
2018-06-01
Specialty
MeSH terms
  • Clinical Prediction Rule
  • Lymph Nodes
  • Lymphatic Metastasis
  • Prostate Cancer
  • Treatment
  • Model type
    Logistic regression (Calculation)
    Status
    public
    Rating
    Share
    Formula
    No Formula defined yet
    Condition Formula

    Additional information

    Study population:
    This model was based on a large patient cohort from the Memorial Sloan Kettering Cancer Center (MSKCC), United States. Using a dynamic statistical formula, this model draws on data from more than 5,000 prostate cancer patients treated at MSKCC. 

    Additional study characteristics: 
    No specific details regarding the study population available. 

    Study Population

    Total population size: 5359
    Males: {{ model.numberOfMales }}
    Females: {{ model.numberOfFemales }}

    Additional characteristics

    No additional characteristics defined

    Related files

    Supporting Publications

    The calculated probability of lymph node involvement is:
    ...

    {{ resultSubheader }}

    {{ model.survival.PITTitle }}

    {{ model.survival.YNETitle }}

    Result
    Note
    Notes are only visible in the result download and will not be saved by Evidencio

    The calculated probability of lymph node involvement is:

    {{ resultSubheader }}

    Outcome stratification

    Result interval {{ additionalResult.min }} to {{ additionalResult.max }}

    Conditional information

    Result interpretation


    How this model should be used:
    This model calculates the probability that prostate cancer has spread to the pelvic lymph nodes. The model does not apply to patients who underwent preoperative hormone- or radiation therapy for prostate cancer. 

    Model performance: 
    A validation was performed to assess the discriminative power of the model. On the website of the MSKCC, a c-index of 0.86 is reported. No specific details regarding the validation process are disclosed.

    Alternative models: 
    For cases in which the number of cores taken at biopsy is unknown, an alternative prediction model that does not require this information is available, although addition of biopsy core information did not improve the discriminative power of the model (c-index 0.86 in both models).


    Source: Memorial Sloan Kettering Cancer Center.

    {{ file.classification }}

    Calculations alone should never dictate patient care, and are no substitute for professional judgement. See our full disclaimer.

    Comments
    Rating
    Comment
    Please enter a comment of rating
    Comments are visible to anyone

    Model feedback

    No feedback yet 1 Comment {{ model.comments.length }} Comments
    Not rated | On {{ comment.created_at }} {{ comment.user.username }} a no longer registered author wrote:
    {{ comment.content }}
    Related validations
    CWZ validation MSKCC (incl. biopsy cores)

    Validation cohort size: 252

    C-Index: 0.79 | 95% CI: 0.7238 - 0.8657

    Validation author: T. A. Hueting

    Revision date: 2017-06-20

    ROC Plot
    Calibration plot
    ProZIB validation - MSKCC including biopsy cores

    Validation cohort size: 581

    C-Index: 0.74 | 95% CI: 0.696 - 0.7811

    Validation author: T. A. Hueting

    Revision date: 2017-06-19

    ROC Plot
    Calibration plot
    ZGT -- MSKCC (Incl. cores)

    Validation cohort size: 108

    C-Index: 0.66 | 95% CI: 0.5543 - 0.7686

    Validation author: T. A. Hueting

    Revision date: 2017-06-14

    ROC Plot
    Calibration plot
    ZGT + Prozib + CWZ -- MSKCC (Incl. cores)

    Validation cohort size: 934

    C-Index: 0.74 | 95% CI: 0.7079 - 0.7749

    Validation author: T. A. Hueting

    Revision date: 2017-06-14

    ROC Plot
    Calibration plot
    logo

    Please sign in to enable Evidencio print features

    In order to use the Evidencio print features, you need to be logged in.
    If you don't have an Evidencio Community Account you can create your free personal account at:

    https://www.evidencio.com/registration

    Printed results - Examples {{ new Date().toLocaleString() }}


    Evidencio Community Account Benefits


    With an Evidencio Community account you can:

    • Create and publish your own prediction models.
    • Share your prediction models with your colleagues, research group, organization or the world.
    • Review and provide feedback on models that have been shared with you.
    • Validate your models and validate models from other users.
    • Find models based on Title, Keyword, Author, Institute, or MeSH classification.
    • Use and save prediction models and their data.
    • Use patient specific protocols and guidelines based on sequential models and decision trees.
    • Stay up-to-date with new models in your field as they are published.
    • Create your own lists of favorite models and topics.
    A personal Evidencio account is free, with no strings attached! Join us and help create clarity, transparency, and efficiency in the creation, validation, and use of medical prediction models.

    Disclaimer: Calculations alone should never dictate patient care, and are no substitute for professional judgement.