Risk Prediction in Surgery

Introduction

Objective: To develop a mathematical model for predicting lymph node harvest in patients undergoing resectional surgery for colorectal cancer.

Design: Descriptive multi-center study using routinely collected clinical data.

Data source: The Association of Coloproctology of Great Britain and Ireland (ACPGBI) database, encompassing 8,409 newly diagnosed colorectal cancer patients undergoing resectional surgery with regional lymphadenectomy in 79 hospitals during a 12-month period between April 2000 to March 2002.

Statistical analysis: A two-level hierarchical regression model was used to identify predictors for lymph node harvest and a logistic regression analysis for predicting lymph node positivity.

Presented in abstract format at:
Association of Coloproctologists of GB & I . Birmingham 2004.

Calculate an LN-Harvest Score

Choose a value in each category that matches your patient from the drop down lists in the tables below. You must enter the patients actual age otherwise an error will occur. Default values (the lowest score) are shown for each category.

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