225 related articles for article (PubMed ID: 26727094)
1. Risk Prediction Accuracy Differs for Emergency Versus Elective Cases in the ACS-NSQIP.
Hyder JA; Reznor G; Wakeam E; Nguyen LL; Lipsitz SR; Havens JM
Ann Surg; 2016 Dec; 264(6):959-965. PubMed ID: 26727094
[TBL] [Abstract][Full Text] [Related]
2. Risk Prediction Accuracy Differs for Transferred and Nontransferred Emergency General Surgery Cases in the ACS-NSQIP.
Castillo-Angeles M; Jarman MP; Uribe-Leitz T; Jin G; Salim A; Havens JM
J Surg Res; 2020 Mar; 247():364-371. PubMed ID: 31767278
[TBL] [Abstract][Full Text] [Related]
3. Development and evaluation of the universal ACS NSQIP surgical risk calculator: a decision aid and informed consent tool for patients and surgeons.
Bilimoria KY; Liu Y; Paruch JL; Zhou L; Kmiecik TE; Ko CY; Cohen ME
J Am Coll Surg; 2013 Nov; 217(5):833-42.e1-3. PubMed ID: 24055383
[TBL] [Abstract][Full Text] [Related]
4. Optimizing ACS NSQIP modeling for evaluation of surgical quality and risk: patient risk adjustment, procedure mix adjustment, shrinkage adjustment, and surgical focus.
Cohen ME; Ko CY; Bilimoria KY; Zhou L; Huffman K; Wang X; Liu Y; Kraemer K; Meng X; Merkow R; Chow W; Matel B; Richards K; Hart AJ; Dimick JB; Hall BL
J Am Coll Surg; 2013 Aug; 217(2):336-46.e1. PubMed ID: 23628227
[TBL] [Abstract][Full Text] [Related]
5. American College of Surgeons National Surgical Quality Improvement Program as a quality-measurement tool for advanced cancer patients.
Vidri RJ; Blakely AM; Kulkarni SS; Vaghjiani RG; Heffernan DS; Harrington DT; Cioffi WG; Miner TJ
Ann Palliat Med; 2015 Oct; 4(4):200-6. PubMed ID: 26541399
[TBL] [Abstract][Full Text] [Related]
6. Incorporation of Procedure-specific Risk Into the ACS-NSQIP Surgical Risk Calculator Improves the Prediction of Morbidity and Mortality After Pancreatoduodenectomy.
McMillan MT; Allegrini V; Asbun HJ; Ball CG; Bassi C; Beane JD; Behrman SW; Berger AC; Bloomston M; Callery MP; Christein JD; Dickson E; Dixon E; Drebin JA; Fernandez-Del Castillo C; Fisher WE; Fong ZV; Haverick E; Hollis RH; House MG; Hughes SJ; Jamieson NB; Kent TS; Kowalsky SJ; Kunstman JW; Malleo G; McElhany AL; Salem RR; Soares KC; Sprys MH; Valero V; Watkins AA; Wolfgang CL; Zureikat AH; Vollmer CM
Ann Surg; 2017 May; 265(5):978-986. PubMed ID: 27232260
[TBL] [Abstract][Full Text] [Related]
7. Association of hospital participation in a surgical outcomes monitoring program with inpatient complications and mortality.
Etzioni DA; Wasif N; Dueck AC; Cima RR; Hohmann SF; Naessens JM; Mathur AK; Habermann EB
JAMA; 2015 Feb; 313(5):505-11. PubMed ID: 25647206
[TBL] [Abstract][Full Text] [Related]
8. Development and Evaluation of the American College of Surgeons NSQIP Pediatric Surgical Risk Calculator.
Kraemer K; Cohen ME; Liu Y; Barnhart DC; Rangel SJ; Saito JM; Bilimoria KY; Ko CY; Hall BL
J Am Coll Surg; 2016 Nov; 223(5):685-693. PubMed ID: 27666656
[TBL] [Abstract][Full Text] [Related]
9. Evaluation of ACS-NSQIP and CR-POSSUM risk calculators for the prediction of mortality after colorectal surgery: A retrospective cohort study.
Vashistha N; Singhal S; Budhiraja S; Singhal D
J Minim Access Surg; 2024 Apr; 20(2):142-147. PubMed ID: 36124474
[TBL] [Abstract][Full Text] [Related]
10. Derivation and validation of a novel Emergency Surgery Acuity Score (ESAS).
Sangji NF; Bohnen JD; Ramly EP; Yeh DD; King DR; DeMoya M; Butler K; Fagenholz PJ; Velmahos GC; Chang DC; Kaafarani HM
J Trauma Acute Care Surg; 2016 Aug; 81(2):213-20. PubMed ID: 27032007
[TBL] [Abstract][Full Text] [Related]
11. Improved Surgical Outcomes for ACS NSQIP Hospitals Over Time: Evaluation of Hospital Cohorts With up to 8 Years of Participation.
Cohen ME; Liu Y; Ko CY; Hall BL
Ann Surg; 2016 Feb; 263(2):267-73. PubMed ID: 25723845
[TBL] [Abstract][Full Text] [Related]
12. Association of hospital participation in a quality reporting program with surgical outcomes and expenditures for Medicare beneficiaries.
Osborne NH; Nicholas LH; Ryan AM; Thumma JR; Dimick JB
JAMA; 2015 Feb; 313(5):496-504. PubMed ID: 25647205
[TBL] [Abstract][Full Text] [Related]
13. Perioperative outcomes for pediatric neurosurgical procedures: analysis of the National Surgical Quality Improvement Program-Pediatrics.
Kuo BJ; Vissoci JR; Egger JR; Smith ER; Grant GA; Haglund MM; Rice HE
J Neurosurg Pediatr; 2017 Mar; 19(3):361-371. PubMed ID: 28059679
[TBL] [Abstract][Full Text] [Related]
14. Risk of discharge to postacute care: a patient-centered outcome for the american college of surgeons national surgical quality improvement program surgical risk calculator.
Mohanty S; Liu Y; Paruch JL; Kmiecik TE; Cohen ME; Ko CY; Bilimoria KY
JAMA Surg; 2015 May; 150(5):480-4. PubMed ID: 25806660
[TBL] [Abstract][Full Text] [Related]
15. Prospective multicenter external validation of postoperative mortality prediction tools in patients undergoing emergency laparotomy.
Kokkinakis S; Kritsotakis EI; Paterakis K; Karali GA; Malikides V; Kyprianou A; Papalexandraki M; Anastasiadis CS; Zoras O; Drakos N; Kehagias I; Kehagias D; Gouvas N; Kokkinos G; Pozotou I; Papatheodorou P; Frantzeskou K; Schizas D; Syllaios A; Palios IM; Nastos K; Perdikaris M; Michalopoulos NV; Margaris I; Lolis E; Dimopoulou G; Panagiotou D; Nikolaou V; Glantzounis GK; Pappas-Gogos G; Tepelenis K; Zacharioudakis G; Tsaramanidis S; Patsarikas I; Stylianidis G; Giannos G; Karanikas M; Kofina K; Markou M; Chrysos E; Lasithiotakis K
J Trauma Acute Care Surg; 2023 Jun; 94(6):847-856. PubMed ID: 36726191
[TBL] [Abstract][Full Text] [Related]
16. Surgical Risk Is Not Linear: Derivation and Validation of a Novel, User-friendly, and Machine-learning-based Predictive OpTimal Trees in Emergency Surgery Risk (POTTER) Calculator.
Bertsimas D; Dunn J; Velmahos GC; Kaafarani HMA
Ann Surg; 2018 Oct; 268(4):574-583. PubMed ID: 30124479
[TBL] [Abstract][Full Text] [Related]
17. Predictive performance of the American College of Surgeons universal risk calculator in neurosurgical patients.
Vaziri S; Wilson J; Abbatematteo J; Kubilis P; Chakraborty S; Kshitij K; Hoh DJ
J Neurosurg; 2018 Mar; 128(3):942-947. PubMed ID: 28452615
[TBL] [Abstract][Full Text] [Related]
18. Can Machine Learning Methods Produce Accurate and Easy-to-use Prediction Models of 30-day Complications and Mortality After Knee or Hip Arthroplasty?
Harris AHS; Kuo AC; Weng Y; Trickey AW; Bowe T; Giori NJ
Clin Orthop Relat Res; 2019 Feb; 477(2):452-460. PubMed ID: 30624314
[TBL] [Abstract][Full Text] [Related]
19. Predicting complication risk in spine surgery: a prospective analysis of a novel risk assessment tool.
Veeravagu A; Li A; Swinney C; Tian L; Moraff A; Azad TD; Cheng I; Alamin T; Hu SS; Anderson RL; Shuer L; Desai A; Park J; Olshen RA; Ratliff JK
J Neurosurg Spine; 2017 Jul; 27(1):81-91. PubMed ID: 28430052
[TBL] [Abstract][Full Text] [Related]
20. American College of Surgeons NSQIP Risk Calculator Accuracy for Emergent and Elective Colorectal Operations.
Lubitz AL; Chan E; Zarif D; Ross H; Philp M; Goldberg AJ; Pitt HA
J Am Coll Surg; 2017 Nov; 225(5):601-611. PubMed ID: 28826803
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
