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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1945 2
1946 4
1947 1
1948 2
1949 4
1950 1
1951 5
1952 2
1953 3
1954 10
1955 4
1956 5
1957 2
1958 5
1959 6
1960 11
1961 10
1962 5
1963 12
1964 12
1965 15
1966 10
1967 10
1968 3
1969 7
1970 17
1971 9
1972 13
1973 8
1974 15
1975 73
1976 91
1977 89
1978 121
1979 113
1980 137
1981 173
1982 209
1983 245
1984 286
1985 329
1986 319
1987 398
1988 443
1989 425
1990 568
1991 549
1992 643
1993 653
1994 735
1995 720
1996 880
1997 942
1998 942
1999 983
2000 1134
2001 1281
2002 1458
2003 1587
2004 1823
2005 2191
2006 2477
2007 2748
2008 3072
2009 3480
2010 3758
2011 4189
2012 4648
2013 5120
2014 5568
2015 5912
2016 6264
2017 6219
2018 6385
2019 6891
2020 8175
2021 8759
2022 9142
2023 8460
2024 2702

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108,776 results

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Page 1
A data-driven approach to predicting diabetes and cardiovascular disease with machine learning.
Dinh A, Miertschin S, Young A, Mohanty SD. Dinh A, et al. BMC Med Inform Decis Mak. 2019 Nov 6;19(1):211. doi: 10.1186/s12911-019-0918-5. BMC Med Inform Decis Mak. 2019. PMID: 31694707 Free PMC article.
For pre-diabetic patients, the ensemble model had the top AU-ROC score of 73.7% (without laboratory data), and for laboratory based data XGBoost performed the best at 84.4%. Top five predictors in diabetes patients were 1) waist size, 2) age, 3) self-reported weight …
For pre-diabetic patients, the ensemble model had the top AU-ROC score of 73.7% (without laboratory data), and for laboratory based d …
The diabetes risk score: a practical tool to predict type 2 diabetes risk.
Lindström J, Tuomilehto J. Lindström J, et al. Diabetes Care. 2003 Mar;26(3):725-31. doi: 10.2337/diacare.26.3.725. Diabetes Care. 2003. PMID: 12610029
Multivariate logistic regression model coefficients were used to assign each variable category a score. The Diabetes Risk Score was composed as the sum of these individual scores. ...Complete baseline risk data were found in 4435 subjects with 182 incident ca …
Multivariate logistic regression model coefficients were used to assign each variable category a score. The Diabetes Risk Score …
Diabetes and Myocardial Fibrosis: A Systematic Review and Meta-Analysis.
Salvador DB Jr, Gamba MR, Gonzalez-Jaramillo N, Gonzalez-Jaramillo V, Raguindin PFN, Minder B, Gräni C, Wilhelm M, Stettler C, Doria A, Franco OH, Muka T, Bano A. Salvador DB Jr, et al. JACC Cardiovasc Imaging. 2022 May;15(5):796-808. doi: 10.1016/j.jcmg.2021.12.008. Epub 2022 Feb 16. JACC Cardiovasc Imaging. 2022. PMID: 35512952 Free article.
METHODS: The authors searched EMBASE, Medline Ovid, Cochrane CENTRAL, Web of Science, and Google Scholar for observational and interventional studies investigating the association of diabetes, glycemic control, and antidiabetic medication with MF assessed by histology and …
METHODS: The authors searched EMBASE, Medline Ovid, Cochrane CENTRAL, Web of Science, and Google Scholar for observational and interv …
Prediction of type 2 diabetes mellitus based on nutrition data.
Katsimpris A, Brahim A, Rathmann W, Peters A, Strauch K, Flaquer A. Katsimpris A, et al. J Nutr Sci. 2021 Jun 21;10:e46. doi: 10.1017/jns.2021.36. eCollection 2021. J Nutr Sci. 2021. PMID: 34221364 Free PMC article.
Numerous predictive models for the risk of type 2 diabetes mellitus (T2DM) exist, but a minority of them has implemented nutrition data so far, even though the significant effect of nutrition on the pathogenesis, prevention and management of T2DM has been est …
Numerous predictive models for the risk of type 2 diabetes mellitus (T2DM) exist, but a minority of them has implemente …
SYNTAX Score and Outcomes of Coronary Revascularization in Diabetic Patients.
Kundu A, Sardar P, O'Day K, Chatterjee S, Owan T, Dawn Abbott J. Kundu A, et al. Curr Cardiol Rep. 2018 Mar 23;20(5):28. doi: 10.1007/s11886-018-0971-1. Curr Cardiol Rep. 2018. PMID: 29572680 Review.
PURPOSE OF REVIEW: This review describes the dynamic relationship between diabetes mellitus (DM) and coronary artery disease (CAD) with respect to different revascularization strategies and how angiographic tools such as the Synergy between PCI with Taxus and Cardia …
PURPOSE OF REVIEW: This review describes the dynamic relationship between diabetes mellitus (DM) and coronary artery disease ( …
Estimating Disease Prevalence in Administrative Data.
Kopec JA. Kopec JA. Clin Invest Med. 2022 Jun 26;45(2):E21-27. doi: 10.25011/cim.v45i2.38100. Clin Invest Med. 2022. PMID: 35752980 Review.
FINDINGS: Misclassification bias in prevalence estimates from administrative data can be reduced by developing and selecting an optimal algorithm for case identification, applying a bias correction formula, or using statistical modelling. An algorithm for which sensitivity equals …
FINDINGS: Misclassification bias in prevalence estimates from administrative data can be reduced by developing and selecting an optimal algo …
Coronary artery disease prediction.
Wilson PW, Evans JC. Wilson PW, et al. Am J Hypertens. 1993 Nov;6(11 Pt 2):309S-313S. doi: 10.1093/ajh/6.11.309s. Am J Hypertens. 1993. PMID: 8297537 Review.
The factors age, gender, cigarette-smoking, blood cholesterol, high-density lipoprotein (HDL) cholesterol, blood pressure, left ventricular hypertrophy, and diabetes mellitus have been used in the Framingham Heart Study for the prediction of coronary artery d …
The factors age, gender, cigarette-smoking, blood cholesterol, high-density lipoprotein (HDL) cholesterol, blood pressure, left ventricular …
Plasma-free amino acid profiles are predictors of cancer and diabetes development.
Bi X, Henry CJ. Bi X, et al. Nutr Diabetes. 2017 Mar 13;7(3):e249. doi: 10.1038/nutd.2016.55. Nutr Diabetes. 2017. PMID: 28287627 Free PMC article. Review.
Nowadays, there is convincing evidence of positive associations between T2D and the incidence or prognosis of a wide spectrum of cancers, for example, breast, colon, liver and pancreas. Many observational studies suggest that certain medications used to treat hyperglycemia …
Nowadays, there is convincing evidence of positive associations between T2D and the incidence or prognosis of a wide spectrum of cancers, fo …
Clinical translation of genetic predictors for type 2 diabetes.
Majithia AR, Florez JC. Majithia AR, et al. Curr Opin Endocrinol Diabetes Obes. 2009 Apr;16(2):100-6. doi: 10.1097/med.0b013e3283292354. Curr Opin Endocrinol Diabetes Obes. 2009. PMID: 19306524 Free PMC article. Review.
Recent studies exploring the clinical potential of these discoveries are reviewed, focusing on insights into T2D pathogenesis, risk prediction of future diabetes, and utility in guiding pharmacotherapy. The new T2D-associated loci have been implicated in beta-cell developm …
Recent studies exploring the clinical potential of these discoveries are reviewed, focusing on insights into T2D pathogenesis, risk predi …
Susceptibility to type 2 diabetes mellitus--from genes to prevention.
Hivert MF, Vassy JL, Meigs JB. Hivert MF, et al. Nat Rev Endocrinol. 2014 Apr;10(4):198-205. doi: 10.1038/nrendo.2014.11. Epub 2014 Feb 18. Nat Rev Endocrinol. 2014. PMID: 24535206 Free PMC article. Review.
Knowledge of the genetics of type 2 diabetes mellitus (T2DM) has evolved tremendously over the past few years. ...With each set of T2DM loci discovered, increasing the number of loci in these scores has improved their predictive ability, although a …
Knowledge of the genetics of type 2 diabetes mellitus (T2DM) has evolved tremendously over the past few years. ...With each se …
108,776 results
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