116 related articles for article (PubMed ID: 35470312)
1. Risk Prediction of Pancreatic Cancer in Patients With Recent-onset Hyperglycemia: A Machine-learning Approach.
Chen W; Butler RK; Lustigova E; Chari ST; Maitra A; Rinaudo JA; Wu BU
J Clin Gastroenterol; 2023 Jan; 57(1):103-110. PubMed ID: 35470312
[TBL] [Abstract][Full Text] [Related]
2. Association of Glycated Hemoglobin Levels With Risk of Pancreatic Cancer.
Wu BU; Butler RK; Lustigova E; Lawrence JM; Chen W
JAMA Netw Open; 2020 Jun; 3(6):e204945. PubMed ID: 32530471
[TBL] [Abstract][Full Text] [Related]
3. Derivation and External Validation of Machine Learning-Based Model for Detection of Pancreatic Cancer.
Chen W; Zhou Y; Xie F; Butler RK; Jeon CY; Luong TQ; Zhou B; Lin YC; Lustigova E; Pisegna JR; Kim S; Wu BU
Am J Gastroenterol; 2023 Jan; 118(1):157-167. PubMed ID: 36227806
[TBL] [Abstract][Full Text] [Related]
4. A Clinical Prediction Model to Assess Risk for Pancreatic Cancer Among Patients With New-Onset Diabetes.
Boursi B; Finkelman B; Giantonio BJ; Haynes K; Rustgi AK; Rhim AD; Mamtani R; Yang YX
Gastroenterology; 2017 Mar; 152(4):840-850.e3. PubMed ID: 27923728
[TBL] [Abstract][Full Text] [Related]
5. A novel prediction model of the risk of pancreatic cancer among diabetes patients using multiple clinical data and machine learning.
Chen SM; Phuc PT; Nguyen PA; Burton W; Lin SJ; Lin WC; Lu CY; Hsu MH; Cheng CT; Hsu JC
Cancer Med; 2023 Oct; 12(19):19987-19999. PubMed ID: 37737056
[TBL] [Abstract][Full Text] [Related]
6. Validation of the Enriching New-Onset Diabetes for Pancreatic Cancer Model in a Diverse and Integrated Healthcare Setting.
Chen W; Butler RK; Lustigova E; Chari ST; Wu BU
Dig Dis Sci; 2021 Jan; 66(1):78-87. PubMed ID: 32112260
[TBL] [Abstract][Full Text] [Related]
7. Prediction of pancreatic cancer risk in patients with new-onset diabetes using a machine learning approach based on routine biochemical parameters.
Cichosz SL; Jensen MH; Hejlesen O; Henriksen SD; Drewes AM; Olesen SS
Comput Methods Programs Biomed; 2024 Feb; 244():107965. PubMed ID: 38070389
[TBL] [Abstract][Full Text] [Related]
8. Pre-operative dysglycemia is associated with decreased survival in patients with pancreatic neuroendocrine neoplasms.
Sandini M; Strobel O; Hank T; Lewosinska M; Nießen A; Hackert T; Büchler MW; Schimmack S
Surgery; 2020 Mar; 167(3):575-580. PubMed ID: 31889543
[TBL] [Abstract][Full Text] [Related]
9. Postoperative dysglycemia in elective non-diabetic surgical patients: a prospective observational study.
Yang MH; Jaeger M; Baxter M; VanDenKerkhof E; van Vlymen J
Can J Anaesth; 2016 Dec; 63(12):1319-1334. PubMed ID: 27699579
[TBL] [Abstract][Full Text] [Related]
10. Machine Learning to Identify Predictors of Glycemic Control in Type 2 Diabetes: An Analysis of Target HbA1c Reduction Using Empagliflozin/Linagliptin Data.
Del Parigi A; Tang W; Liu D; Lee C; Pratley R
Pharmaceut Med; 2019 Jun; 33(3):209-217. PubMed ID: 31933292
[TBL] [Abstract][Full Text] [Related]
11. Model to Determine Risk of Pancreatic Cancer in Patients With New-Onset Diabetes.
Sharma A; Kandlakunta H; Nagpal SJS; Feng Z; Hoos W; Petersen GM; Chari ST
Gastroenterology; 2018 Sep; 155(3):730-739.e3. PubMed ID: 29775599
[TBL] [Abstract][Full Text] [Related]
12. Optimal glycated hemoglobin A1c value for prediabetes and diabetes in patients with pancreatic diseases.
Chen G; Zhang R; Tan C; Liu X; Yu L; Chen Y
Front Endocrinol (Lausanne); 2023; 14():1208187. PubMed ID: 37484959
[TBL] [Abstract][Full Text] [Related]
13. Glycated Hemoglobin Testing to Identify Undiagnosed Diabetes Mellitus in the Inpatient Setting.
Jones D; Scharfenberg B; Perkins J; Childers K; Dogbey GY; Shubrook JH
J Am Osteopath Assoc; 2016 Jun; 116(6):350-7. PubMed ID: 27214771
[TBL] [Abstract][Full Text] [Related]
14. Report of the Committee on the classification and diagnostic criteria of diabetes mellitus.
Kuzuya T; Nakagawa S; Satoh J; Kanazawa Y; Iwamoto Y; Kobayashi M; Nanjo K; Sasaki A; Seino Y; Ito C; Shima K; Nonaka K; Kadowaki T;
Diabetes Res Clin Pract; 2002 Jan; 55(1):65-85. PubMed ID: 11755481
[TBL] [Abstract][Full Text] [Related]
15. Use of glycated albumin to distinguish occult diabetes mellitus from stress-induced hyperglycemia in Chinese orthopedic trauma patients.
Pan J; Zou J; Bao Y; Zhang L; Han J; Tang J; Ma X; Li Q; Jia W
J Trauma Acute Care Surg; 2012 May; 72(5):1369-74. PubMed ID: 22673268
[TBL] [Abstract][Full Text] [Related]
16. Dental findings and identification of undiagnosed hyperglycemia.
Lalla E; Cheng B; Kunzel C; Burkett S; Lamster IB
J Dent Res; 2013 Oct; 92(10):888-92. PubMed ID: 23979781
[TBL] [Abstract][Full Text] [Related]
17. Point-of-care glycated hemoglobin a1c testing for the identification of hyperglycemia severity among individuals with dual tuberculosis and diabetes mellitus in Tanzania.
Byashalira KC; Chamba NG; Alkabab Y; Ntinginya NE; Affenaar JW; Heysell SK; Ramaiya KL; Lillebaek T; Bygbjerg IC; Christensen DL; Mpagama SG; Mmbaga BT
Int J Mycobacteriol; 2023; 12(4):429-435. PubMed ID: 38149539
[TBL] [Abstract][Full Text] [Related]
18. HbA1c and diabetes predict perioperative hyperglycemia and glycemic variability in on-pump coronary artery bypass graft patients.
Masla M; Gottschalk A; Durieux ME; Groves DS
J Cardiothorac Vasc Anesth; 2011 Oct; 25(5):799-803. PubMed ID: 21111636
[TBL] [Abstract][Full Text] [Related]
19. Machine learning versus regression for prediction of sporadic pancreatic cancer.
Chen W; Zhou B; Jeon CY; Xie F; Lin YC; Butler RK; Zhou Y; Luong TQ; Lustigova E; Pisegna JR; Wu BU
Pancreatology; 2023 Jun; 23(4):396-402. PubMed ID: 37130760
[TBL] [Abstract][Full Text] [Related]
20. The prevalence of undiagnosed diabetes mellitus and the association of baseline glycemic control on mortality in the intensive care unit: a prospective observational study.
Hoang QN; Pisani MA; Inzucchi S; Hu B; Honiden S
J Crit Care; 2014 Dec; 29(6):1052-6. PubMed ID: 25092614
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
