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

Year Number of Results
1946 1
1947 1
1949 1
1950 2
1951 1
1953 4
1955 1
1956 3
1958 1
1959 2
1960 1
1961 1
1962 1
1963 4
1964 5
1965 7
1966 6
1967 7
1968 5
1969 5
1970 9
1971 14
1972 8
1973 5
1974 12
1975 71
1976 68
1977 57
1978 73
1979 74
1980 83
1981 84
1982 122
1983 123
1984 128
1985 171
1986 138
1987 164
1988 205
1989 205
1990 261
1991 274
1992 282
1993 296
1994 326
1995 372
1996 419
1997 477
1998 533
1999 622
2000 740
2001 838
2002 918
2003 1178
2004 1298
2005 1593
2006 1990
2007 2425
2008 2841
2009 3244
2010 3492
2011 3968
2012 4358
2013 5219
2014 5732
2015 5924
2016 6130
2017 6255
2018 6449
2019 6858
2020 7883
2021 8269
2022 7863
2023 7008
2024 2110

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94,154 results

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Page 1
Prediction Models for Early Childhood Obesity: Applicability and Existing Issues.
Butler ÉM, Derraik JGB, Taylor RW, Cutfield WS. Butler ÉM, et al. Horm Res Paediatr. 2018;90(6):358-367. doi: 10.1159/000496563. Epub 2019 Feb 8. Horm Res Paediatr. 2018. PMID: 30739117 Free article. Review.
Statistical models have been developed for the prediction or diagnosis of a wide range of outcomes. However, to our knowledge, only 7 published studies have reported models to specifically predict overweight and/or obesity in early childhood. These models wer …
Statistical models have been developed for the prediction or diagnosis of a wide range of outcomes. However, to our knowledge, only 7 …
Body composition analysis and references in children: clinical usefulness and limitations.
Chung S. Chung S. Eur J Clin Nutr. 2019 Feb;73(2):236-242. doi: 10.1038/s41430-018-0322-8. Epub 2018 Sep 26. Eur J Clin Nutr. 2019. PMID: 30258101 Review.
Many Asians could be classified has having normal weight but with obesity as evidenced by body composition (BC) and fat distribution. Overweight in Asian adults is classified as a BMI > 23 kg/m(2) and obesity as a BMI > 25 kg/m(2). An effective strategy to man …
Many Asians could be classified has having normal weight but with obesity as evidenced by body composition (BC) and fat distribution. …
Childhood obesity: how long should we wait to predict weight?
Butler ÉM, Derraik JGB, Taylor RW, Cutfield WS. Butler ÉM, et al. J Pediatr Endocrinol Metab. 2018 Apr 25;31(5):497-501. doi: 10.1515/jpem-2018-0110. J Pediatr Endocrinol Metab. 2018. PMID: 29668465 Free article. Review.
Several clinical prediction models have been developed for obesity risk in early childhood, using a number of different predictors. The predictive capacity (sensitivity and specificity) of these models varies greatly, and there is no agreed risk thresh …
Several clinical prediction models have been developed for obesity risk in early childhood, using a number of different pre …
The importance of prediction model validation and assessment in obesity and nutrition research.
Ivanescu AE, Li P, George B, Brown AW, Keith SW, Raju D, Allison DB. Ivanescu AE, et al. Int J Obes (Lond). 2016 Jun;40(6):887-94. doi: 10.1038/ijo.2015.214. Epub 2015 Oct 9. Int J Obes (Lond). 2016. PMID: 26449421 Free PMC article. Review.
Deriving statistical models to predict one variable from one or more other variables, or predictive modeling, is an important activity in obesity and nutrition research. ...We emphasize that methods for estimating the expected reduction in predictive a …
Deriving statistical models to predict one variable from one or more other variables, or predictive modeling, is an important …
Pathological features of fatty liver disease.
Yeh MM, Brunt EM. Yeh MM, et al. Gastroenterology. 2014 Oct;147(4):754-64. doi: 10.1053/j.gastro.2014.07.056. Epub 2014 Aug 7. Gastroenterology. 2014. PMID: 25109884 Review.
Benign and malignant liver tumors have been more frequently reported with the increasing prevalence of obesity and diabetes. Histological scoring systems for ALD and NAFLD have been proposed to monitor efficacy in clinical trials and serve as prognostic facto …
Benign and malignant liver tumors have been more frequently reported with the increasing prevalence of obesity and diabetes. Histolog …
Predicting Responses to Bariatric and Metabolic Surgery.
Belligoli A, Bettini S, Segato G, Busetto L. Belligoli A, et al. Curr Obes Rep. 2020 Sep;9(3):373-379. doi: 10.1007/s13679-020-00390-1. Curr Obes Rep. 2020. PMID: 32542590 Review.
A consistent variability in outcomes has been observed. Predicting responses to bariatric surgery could be an important tool in clinical practice, by improving patients' selection or by identifying patients in which more aggressive follow-up and post-operative inter …
A consistent variability in outcomes has been observed. Predicting responses to bariatric surgery could be an important tool i …
Predicting Persistent Acute Respiratory Failure in Acute Pancreatitis: The Accuracy of Two Lung Injury Indices.
Li L, Liu S, Zhang X, He W, Zhu P, Shi J, Wang W, Sun X, Shi N, Xia L, Lu N, Philips AR, Singh VK, Sutton R, Zhu Y, Huang W, Windsor JA, Deng L, Jin T, Xia Q. Li L, et al. Dig Dis Sci. 2023 Jul;68(7):2878-2889. doi: 10.1007/s10620-023-07855-y. Epub 2023 Feb 28. Dig Dis Sci. 2023. PMID: 36853545
We sought to determine the accuracy of simplified Lung Injury Prediction Score (sLIPS) and simplified Early Acute Lung Injury (sEALI) for predicting PARF in ward AP patients. ...CONCLUSIONS: Using routinely available clinical data, the sLIPS can accurately …
We sought to determine the accuracy of simplified Lung Injury Prediction Score (sLIPS) and simplified Early Acute Lung Injury …
Development and Validation of a Score for Fibrotic Nonalcoholic Steatohepatitis.
Tavaglione F, Jamialahmadi O, De Vincentis A, Qadri S, Mowlaei ME, Mancina RM, Ciociola E, Carotti S, Perrone G, Bruni V, Gallo IF, Tuccinardi D, Bianco C, Prati D, Manfrini S, Pozzilli P, Picardi A, Caricato M, Yki-Järvinen H, Valenti L, Vespasiani-Gentilucci U, Romeo S. Tavaglione F, et al. Clin Gastroenterol Hepatol. 2023 Jun;21(6):1523-1532.e1. doi: 10.1016/j.cgh.2022.03.044. Epub 2022 Apr 11. Clin Gastroenterol Hepatol. 2023. PMID: 35421583 Free article.
In the derivation cohort, rule-out and rule-in cutoffs were 0.10 for sensitivity 0.89 (negative predictive value, 0.93) and 0.33 for specificity 0.90 (positive predictive value, 0.57), respectively. In the external validation cohorts, sensitivity ranged from 0.87 to …
In the derivation cohort, rule-out and rule-in cutoffs were 0.10 for sensitivity 0.89 (negative predictive value, 0.93) and 0.33 for …
Updating the assessment of cardiac risk: beyond Framingham.
Borden WB, Davidson MH. Borden WB, et al. Rev Cardiovasc Med. 2009 Spring;10(2):63-71. Rev Cardiovasc Med. 2009. PMID: 19593318 Review.
The Framingham estimation of coronary heart disease remains the mainstay of clinical risk assessment. However, novel risk predictors present opportunities to identify more patients at risk and to more accurately define that risk. Such predictors include lipoprotein …
The Framingham estimation of coronary heart disease remains the mainstay of clinical risk assessment. However, novel risk predictors …
94,154 results
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