Key result
Clinical score accurately predicts one-year colon cancer mortality with a ~0.87 C-index.
Why the study?
Tools to aid in prognosis assessment of colon cancer patients for risk of mortality are needed.
Cohort (n=1,945)
Yes
A clinical prediction rule using standard clinical and pathological parameters can accurately predict 1- and 2-year mortality in colon cancer patients after surgery.
May aid postoperative risk stratification in colon cancer; leaves open prospective validation and clinical impact.
BACKGROUND: Tools to aid in the prognosis assessment of colon cancer patients in terms of risk of mortality are needed. Goals of this study are to develop and validate clinical prediction rules for 1- and 2-year mortality in these patients. METHODS: This is a prospective cohort study of patients diagnosed with colon cancer who underwent surgery at 22 hospitals. The main outcomes were mortality at 1 and 2 years after surgery. Background, clinical parameters, and diagnostic tests findings were evaluated as possible predictors. Multivariable multilevel logistic regression and survival models were used in the analyses to create the clinical prediction rules. Models developed in the derivation sample were validated in another sample of the study. RESULTS: American Society of Anesthesiologists Physical Status Classification System (ASA), Charlson comorbidity index (> = 4), age (>75 years), residual tumor (R2), TNM stage IV and log of lymph nodes ratio (> = -0.53) were predictors of 1-year mortality (C-index (95% CI): 0.865 (0.792-0.938)). Adjuvant chemotherapy was an additional predictor. Again ASA, Charlson Index (> = 4), age (>75 years), log of lymph nodes ratio (> = -0.53), TNM, and residual tumor were predictors of 2-year mortality (C-index:0.821 (0.766-0.876). Chemotherapy was also an additional predictor. CONCLUSIONS: These clinical prediction rules show very good predictive abilities of one and two years survival and provide clinicians and patients with an easy and quick-to-use decision tool for use in the clinical decision process while the patient is still in the index admission.
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Quintana et al. (2018) conducted a cohort in Colon cancer (n=1,945). Clinical predictors (ASA, Charlson comorbidity index, age, residual tumor, TNM stage, lymph node ratio) was evaluated on 1-year mortality prediction model performance (C-index) (C-index 0.865, 95% CI 0.792-0.938). A clinical prediction rule using ASA score, Charlson index, age, residual tumor, TNM stage, and lymph node ratio accurately predicted 1-year mortality (C-index 0.865) in colon cancer patients.
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