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The Use of Areas Under Curves in Diabetes Research
Abstract
Recently, several articles appearing in the diabetes literature have suggested that many investigators are unclear about a number of issues involving the use of areas under the curve (AUCs). This prompted us to reconsider issues in the calculation, use, meaning, and presentation of AUCs. We discuss five issues: 1) What is a curve and an area? 2) How should one graphically present a group's curve? 3) How should one calculate AUCs? 4) Should one subtract baseline values from outcome values before calculating AUCs? And 5) are AUCs the best way to combine multiple readings into a single index?
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The glycemic index: methodology and clinical implications
Wolever, T., Jenkins, D., Jenkins, A., & Josse, R. (1991) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/54.5.846 · Cited by 1,168
The use of the glycemie Index in predicting the blood glucose response to mixed meals
Wolever, T., & Jenkins, D. (1986) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/43.1.167 · Cited by 645
Cited by
Ross, R., Dagnone, D., Jones, P. J. H., Smith, H., Paddags, A., Hudson, R., & Janssen, I. (2000) · Annals of Internal Medicine · doi:10.7326/0003-4819-133-2-200007180-00008 · Cited by 1,435
Insulin resistance drives hepatic de novo lipogenesis in nonalcoholic fatty liver disease
Smith, G. I., Shankaran, M., Yoshino, M., Schweitzer, G. G., Chondronikola, M., Beals, J. W., Okunade, A. L., Patterson, B. W., Nyangau, E., Field, T., et al. (2020) · Journal of Clinical Investigation · doi:10.1172/jci134165 · Cited by 771
Exercise-induced reduction in obesity and insulin resistance in women: a randomized controlled trial
Ross, R., Janssen, I., Dawson, J., Kungl, A., Kuk, J. L., Wong, S. L., Nguyen‐Duy, T., Lee, S., Kilpatrick, K., & Hudson, R. (2004) · Obesity Research · doi:10.1038/oby.2004.95 · Cited by 696
Kraus, W. E., Bhapkar, M., Huffman, K. M., Pieper, C. F., Krupa Das, S., Redman, L. M., Villareal, D. T., Rochon, J., Roberts, S. B., Ravussin, E., et al. (2019) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(19)30151-2 · Cited by 407
Teplizumab improves and stabilizes beta cell function in antibody-positive high-risk individuals
Sims, E. K., Bundy, B. N., Stier, K., Serti, E., Lim, N., Long, S. A., Geyer, S. M., Moran, A., Greenbaum, C. J., Evans-Molina, C., et al. (2021) · Science Translational Medicine · doi:10.1126/scitranslmed.abc8980 · Cited by 377
Weiss, E. P., Racette, S. B., Villareal, D. T., Fontana, L., Steger-May, K., Schechtman, K. B., Klein, S., & Holloszy, J. O. (2006) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/84.5.1033 · Cited by 353
Bandín, C., Scheer, F. A. J. L., Luque, A. J., Ávila-Gandía, V, Zamora, S., Madrid, J. A., Gómez-Abellán, P., & Garaulet, M. (2015) · International Journal of Obesity · doi:10.1038/ijo.2014.182 · Cited by 262
Sucralose affects glycemic and hormonal responses to an oral glucose load
Pepino, M. Y., Tiemann, C. D., Patterson, B. W., Wice, B. M., & Klein, S. (2013) · Diabetes Care · doi:10.2337/dc12-2221 · Cited by 253
Moloney, F., Yeow, T.-P., Mullen, A., Nolan, J. J., & Roche, H. M. (2004) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/80.4.887 · Cited by 247
Villareal, D. T., & Holloszy, J. O. (2004) · JAMA · doi:10.1001/jama.292.18.2243 · Cited by 241
Villareal, D. T., Miller, B. V., Banks, M., Fontana, L., Sinacore, D. R., & Klein, S. (2006) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/84.6.1317 · Cited by 235
Shah, K., Stufflebam, A., Hilton, T. N., Sinacore, D. R., Klein, S., & Villareal, D. T. (2009) · Obesity · doi:10.1038/oby.2009.126 · Cited by 194
Acute melatonin administration in humans impairs glucose tolerance in both the morning and evening
Rubio-Sastre, P., Scheer, F. A. J. L., Gómez-Abellán, P., Madrid, J. A., & Garaulet, M. (2014) · SLEEP · doi:10.5665/sleep.4088 · Cited by 180
Bo, S., Fadda, M., Castiglione, A., Ciccone, G., De Francesco, A., Fedele, D., Guggino, A., Parasiliti Caprino, M., Ferrara, S., Vezio Boggio, M., et al. (2015) · International Journal of Obesity · doi:10.1038/ijo.2015.138 · Cited by 171
Bouchonville, M., Armamento-Villareal, R., Shah, K., Napoli, N., Sinacore, D. R., Qualls, C., & Villareal, D. T. (2014) · International Journal of Obesity · doi:10.1038/ijo.2013.122 · Cited by 163
Cardiometabolic characteristics of people with metabolically healthy and unhealthy obesity
Petersen, M. C., Smith, G. I., Palacios, H. H., Farabi, S. S., Yoshino, M., Yoshino, J., Cho, K., Davila-Roman, V. G., Shankaran, M., Barve, R. A., et al. (2024) · Cell Metabolism · doi:10.1016/j.cmet.2024.03.002 · Cited by 149
Colleluori, G., Aguirre, L., Phadnis, U., Fowler, K., Armamento-Villareal, R., Sun, Z., Brunetti, L., Hyoung Park, J., Kaipparettu, B. A., Putluri, N., et al. (2019) · Cell Metabolism · doi:10.1016/j.cmet.2019.06.008 · Cited by 135
Moisey, L. L., Kacker, S., Bickerton, A. C., Robinson, L. E., & Graham, T. E. (2008) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/87.5.1254 · Cited by 127
Late dinner impairs glucose tolerance in MTNR1B risk allele carriers: A randomized, cross-over study
Lopez-Minguez, J., Saxena, R., Bandín, C., Scheer, F. A., & Garaulet, M. (2018) · Clinical Nutrition · doi:10.1016/j.clnu.2017.04.003 · Cited by 124
Garaulet, M., Gómez-Abellán, P., Rubio-Sastre, P., Madrid, J. A., Saxena, R., & Scheer, F. A. J. L. (2015) · Metabolism · doi:10.1016/j.metabol.2015.08.003 · Cited by 100
Smith, G. I., Polidori, D. C., Yoshino, M., Kearney, M. L., Patterson, B. W., Mittendorfer, B., & Klein, S. (2020) · Journal of Clinical Investigation · doi:10.1172/jci136756 · Cited by 78
Long-term maintenance of weight loss after lifestyle intervention in frail, obese older adults
Waters, D. L., Vawter, R., Qualls, C., Chode, S., Armamento-Villareal, R., & Villareal, D. T. (2013) · The Journal of nutrition, health and aging · doi:10.1007/s12603-012-0421-5 · Cited by 51
Greater hunger and less restraint predict weight loss success with phentermine treatment
Thomas, E. A., Mcnair, B., Bechtell, J. L., Ferland, A., Cornier, M., & Eckel, R. H. (2016) · Obesity · doi:10.1002/oby.21244 · Cited by 30
“curve (AUC) from time 0 to 60 min was calculated using the trapezoid method (25), and AUC at baseline and 8 weeks was compared with the use of a paired t test.”
MethodJiang, L., Zhang, Y., Wang, Z., & Wang, Y. (2024) · Scientific Reports · doi:10.1038/s41598-024-59893-9 · Cited by 29
Razny, U., Kiec-Wilk, B., Polus, A., Goralska, J., Malczewska-Malec, M., Wnek, D., Zdzienicka, A., Gruca, A., Childs, C. E., Kapusta, M., et al. (2015) · BBA Clinical · doi:10.1016/j.bbacli.2015.05.001 · Cited by 27
An algorithm to simulate missing data for mixed meal tolerance test response curves
LaPorte, G. J., Chauff, S., Cammack, J., Burton-Freeman, B., Krakoff, J., Stinson, E. J., Gower, B., Redman, L. M., & Thomas, D. M. (2024) · The American Journal of Clinical Nutrition · doi:10.1016/j.ajcnut.2024.04.024 · Cited by 2
Metadata
- Authors
- Allison, D. B., Paultre, F., Maggio, C., Mezzitis, N., & Pi-Sunyer, F. X.
- Venue
- Diabetes Care
- Publisher
- American Diabetes Association
- Published
- 1995-02-01
- Volume
- 18
- Issue
- 2
- Pages
- 245-250
- ISSN
- 0149-5992 (ISSN-L)
- 1935-5548
- OpenAlex
- W2088910012
- Cited by
- 389
- References
- 2
- FWCI
- 0.77
- Type
- journal article
- Language
- en
- Open access
- closed
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