Literature DB >> 29559049

Accuracy of the ACS NSQIP Online Risk Calculator Depends on How You Look at It: Results from the United States Gastric Cancer Collaborative.

Eliza W Beal, Neil D Saunders, Joseph F Kearney, Ezra Lyon, Lai Wei, Malcom H Squires, Linda X Jin, David J Worhunsky, Konstantinos I Votanopoulos, Aslam Ejaz, George Poultsides, Ryan C Fields, Douglas Swords, Alexandra W Acher, Sharon M Weber, Shishir K Maithel, Timothy Pawlik, Carl R Schmidt.   

Abstract

The objective of this study is to assess the accuracy of the American College of Surgeons National Surgical Quality Improvement Program online risk calculator for estimating risk after operation for gastric cancer using the United States Gastric Cancer Collaborative. Nine hundred and sixty-five patients who underwent resection of gastric adenocarcinoma between January 2000 and December 2012 at seven academic medical centers were included. Actual complication rates and outcomes for patients were compared. Most of the patients underwent total gastrectomy with Roux-en-Y reconstruction (404, 41.9%) and partial gastrectomy with gastrojejunostomy (239, 24.8%) or Roux-en-Y reconstruction (284, 29.4%). The C-statistic was highest for venous thromboembolism (0.690) and lowest for renal failure at (0.540). All C-statistics were less than 0.7. Brier scores ranged from 0.010 for venous thromboembolism to 0.238 for any complication. General estimates of risk for the cohort were variable in terms of accuracy. Improving the ability of surgeons to estimate preoperative risk for patients is critically important so that efforts at risk reduction can be personalized to each patient. The American College of Surgeons National Surgical Quality Improvement Program risk calculator is a rapid and easy-to-use tool and validation of the calculator is important as its use becomes more common.

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Year:  2018        PMID: 29559049

Source DB:  PubMed          Journal:  Am Surg        ISSN: 0003-1348            Impact factor:   0.688


  5 in total

1.  Evaluating the ACS NSQIP Risk Calculator in Primary Pancreatic Neuroendocrine Tumor: Results from the US Neuroendocrine Tumor Study Group.

Authors:  Apeksha Dave; Eliza W Beal; Alexandra G Lopez-Aguiar; George Poultsides; Eleftherios Makris; Flavio G Rocha; Zaheer Kanji; Sean Ronnekleiv-Kelly; Victoria R Rendell; Ryan C Fields; Bradley A Krasnick; Kamran Idrees; Paula Marincola Smith; Hari Nathan; Megan Beems; Shishir K Maithel; Timothy M Pawlik; Carl R Schmidt; Mary E Dillhoff
Journal:  J Gastrointest Surg       Date:  2019-04-02       Impact factor: 3.452

Review 2.  Machine learning in gastrointestinal surgery.

Authors:  Takashi Sakamoto; Tadahiro Goto; Michimasa Fujiogi; Alan Kawarai Lefor
Journal:  Surg Today       Date:  2021-09-24       Impact factor: 2.549

3.  Validation of the ACS NSQIP Surgical Risk Calculator for Patients with Early Gastric Cancer Treated with Laparoscopic Gastrectomy.

Authors:  Saleh M Alzahrani; Chang Seok Ko; Moon-Won Yoo
Journal:  J Gastric Cancer       Date:  2020-09-03       Impact factor: 3.720

4.  Use of Machine Learning for Prediction of Patient Risk of Postoperative Complications After Liver, Pancreatic, and Colorectal Surgery.

Authors:  Katiuscha Merath; J Madison Hyer; Rittal Mehta; Ayesha Farooq; Fabio Bagante; Kota Sahara; Diamantis I Tsilimigras; Eliza Beal; Anghela Z Paredes; Lu Wu; Aslam Ejaz; Timothy M Pawlik
Journal:  J Gastrointest Surg       Date:  2019-08-05       Impact factor: 3.452

5.  Retroperitoneal sarcoma perioperative risk stratification: A United States Sarcoma Collaborative evaluation of the ACS-NSQIP risk calculator.

Authors:  Patrick B Schwartz; Christopher C Stahl; Cecilia Ethun; Nicholas Marka; George A Poultsides; Kevin K Roggin; Ryan C Fields; John H Howard; Callisia N Clarke; Konstantinos I Votanopoulos; Kenneth Cardona; Daniel E Abbott
Journal:  J Surg Oncol       Date:  2020-06-17       Impact factor: 3.454

  5 in total

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