A Simple Risk Score to Predict In-Hospital Mortality After Pancreatic Resection for Cancer

Abstract

An integer-based risk score can be used to accurately predict in-hospital mortality after pancreatectomy and may be useful for preoperative risk stratification and patient counseling.

Risk Stratification for Distal Pancreatectomy Utilizing ACS-NSQIP: Preoperative Factors Predict Morbidity and Mortality

“…This method of risk score development has been described previously. 18,[20][21][22] Separate risk scores were developed for both 30-day morbidity and mortality after DP.…”

A Root-Cause Analysis of Mortality Following Major Pancreatectomy

“…21,22 Another, the SOAR score, considers a patient's preoperative condition using the Charlson comorbidity scale as a foundation. 23 Still others, derived from the ACS-NSQIP database, blend elements of both. 24,25 While these may be effective at segregating outcomes at the population level, the real ability of these tools to forecast an actual, individual mortality is unknown.…”

Survival from breast cancer: an analysis of Australian data by surgeon case load, treatment centre location, and health insurance status

“…[12][13][14][15] Other studies have reported differences in cancer survival by surgeon and hospital case load, with higher case loads generally being associated with higher survival. 16,[19][20][21][22][23][24][25][26][27] Often these were studies of other cancers, although higher survivals from breast cancer have been linked to higher case loads in North America, Europe, Asia and Western Australia. [28][29][30][31][32][33][34][35][36][37][38][39][40] Results have generally been interpreted as reflecting higher skill development from managing higher case loads, although this interpretation has been questioned and alternative explanations suggested, including accompanying differences in degree of specialisation, access to multidisciplinary conferencing, and availability of specialist adjunctive services.…”