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Showing 1 to 12 of 29 entries
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Trend over time in hepatic fibrosis score in a cohort of type 2 diabetes patients.

Diabetes research and clinical practice

Giorda CB, Forlani G, Manti R, Mazzotti A, De Cosmo S, Rossi MC, Nicolucci A, Di Bartolo P, Ceriello A, Guida P, Tartaglino B, Russo G.
PMID: 29097288
Diabetes Res Clin Pract. 2018 Jan;135:65-72. doi: 10.1016/j.diabres.2017.10.023. Epub 2017 Oct 31.

AIMS: The prevalence and progression of hepatic fibrosis and its correlated factors in type 2 diabetes (T2DM) are poorly known. We aimed to define the percentage of T2DM patients who progress to fibrosis and the factors associated with disease...

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Giorda CB, Forlani G, Manti R, et al. Trend over time in hepatic fibrosis score in a cohort of type 2 diabetes patients. Diabetes Res Clin Pract. 2017;135:65-72doi: 10.1016/j.diabres.2017.10.023.
Giorda, C. B., Forlani, G., Manti, R., Mazzotti, A., De Cosmo, S., Rossi, M. C., Nicolucci, A., Di Bartolo, P., Ceriello, A., Guida, P., Tartaglino, B., Russo, G. (2018). Trend over time in hepatic fibrosis score in a cohort of type 2 diabetes patients. Diabetes research and clinical practice, 13565-72. https://doi.org/10.1016/j.diabres.2017.10.023
Giorda, Carlo Bruno, et al. "Trend over time in hepatic fibrosis score in a cohort of type 2 diabetes patients." Diabetes research and clinical practice vol. 135 (2018): 65-72. doi: https://doi.org/10.1016/j.diabres.2017.10.023
Giorda CB, Forlani G, Manti R, Mazzotti A, De Cosmo S, Rossi MC, Nicolucci A, Di Bartolo P, Ceriello A, Guida P, Tartaglino B, Russo G. Trend over time in hepatic fibrosis score in a cohort of type 2 diabetes patients. Diabetes Res Clin Pract. 2018 Jan;135:65-72. doi: 10.1016/j.diabres.2017.10.023. Epub 2017 Oct 31. PMID: 29097288.
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A Mobile App to Improve Self-Management of Individuals With Type 2 Diabetes: Qualitative Realist Evaluation.

Journal of medical Internet research

Desveaux L, Shaw J, Saragosa M, Soobiah C, Marani H, Hensel J, Agarwal P, Onabajo N, Bhatia RS, Jeffs L.
PMID: 29549070
J Med Internet Res. 2018 Mar 16;20(3):e81. doi: 10.2196/jmir.8712.

BACKGROUND: The increasing use of Web-based solutions for health prevention and promotion presents opportunities to improve self-management and adherence to guideline-based therapy for individuals with type 2 diabetes (T2DM). Despite promising preliminary evidence, many users stop using Web-based solutions...

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Desveaux L, Shaw J, Saragosa M, et al. A Mobile App to Improve Self-Management of Individuals With Type 2 Diabetes: Qualitative Realist Evaluation. J Med Internet Res. 2018;20(3):e81doi: 10.2196/jmir.8712.
Desveaux, L., Shaw, J., Saragosa, M., Soobiah, C., Marani, H., Hensel, J., Agarwal, P., Onabajo, N., Bhatia, R. S., & Jeffs, L. (2018). A Mobile App to Improve Self-Management of Individuals With Type 2 Diabetes: Qualitative Realist Evaluation. Journal of medical Internet research, 20(3), e81. https://doi.org/10.2196/jmir.8712
Desveaux, Laura, et al. "A Mobile App to Improve Self-Management of Individuals With Type 2 Diabetes: Qualitative Realist Evaluation." Journal of medical Internet research vol. 20,3 (2018): e81. doi: https://doi.org/10.2196/jmir.8712
Desveaux L, Shaw J, Saragosa M, Soobiah C, Marani H, Hensel J, Agarwal P, Onabajo N, Bhatia RS, Jeffs L. A Mobile App to Improve Self-Management of Individuals With Type 2 Diabetes: Qualitative Realist Evaluation. J Med Internet Res. 2018 Mar 16;20(3):e81. doi: 10.2196/jmir.8712. PMID: 29549070; PMCID: PMC5878364.
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Preventing type 2 diabetes.

Nursing standard (Royal College of Nursing (Great Britain) : 1987)

[No authors listed]
PMID: 27073949
Nurs Stand. 2016 Apr 13;30(33):17. doi: 10.7748/ns.30.33.17.s20.

No abstract available.

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Preventing type 2 diabetes. Nurs Stand. 2016;30(33):17doi: 10.7748/ns.30.33.17.s20.
(2016). Preventing type 2 diabetes. Nursing standard (Royal College of Nursing (Great Britain) : 1987), 30(33), 17. https://doi.org/10.7748/ns.30.33.17.s20
"Preventing type 2 diabetes." Nursing standard (Royal College of Nursing (Great Britain) : 1987) vol. 30,33 (2016): 17. doi: https://doi.org/10.7748/ns.30.33.17.s20
Preventing type 2 diabetes. Nurs Stand. 2016 Apr 13;30(33):17. doi: 10.7748/ns.30.33.17.s20. PMID: 27073949.
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Authors' response to letter: 'proper assessment of leptin results with confounders'.

Scandinavian journal of clinical and laboratory investigation

Wium C.
PMID: 25916835
Scand J Clin Lab Invest. 2015 Sep;75(5):440. doi: 10.3109/00365513.2015.1035749. Epub 2015 Apr 28.

No abstract available.

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Wium C. Authors' response to letter: 'proper assessment of leptin results with confounders'. Scand J Clin Lab Invest. 2015;75(5):440doi: 10.3109/00365513.2015.1035749.
Wium, C. (2015). Authors' response to letter: 'proper assessment of leptin results with confounders'. Scandinavian journal of clinical and laboratory investigation, 75(5), 440. https://doi.org/10.3109/00365513.2015.1035749
Wium, Cecilie. "Authors' response to letter: 'proper assessment of leptin results with confounders'." Scandinavian journal of clinical and laboratory investigation vol. 75,5 (2015): 440. doi: https://doi.org/10.3109/00365513.2015.1035749
Wium C. Authors' response to letter: 'proper assessment of leptin results with confounders'. Scand J Clin Lab Invest. 2015 Sep;75(5):440. doi: 10.3109/00365513.2015.1035749. Epub 2015 Apr 28. PMID: 25916835.
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Proper assessment of leptin results with confounders.

Scandinavian journal of clinical and laboratory investigation

Sertoglu E, Tapan S.
PMID: 25916836
Scand J Clin Lab Invest. 2015 Sep;75(5):438-9. doi: 10.3109/00365513.2015.1033744. Epub 2015 Apr 28.

No abstract available.

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Sertoglu E, Tapan S. Proper assessment of leptin results with confounders. Scand J Clin Lab Invest. 2015;75(5):438-9doi: 10.3109/00365513.2015.1033744.
Sertoglu, E., & Tapan, S. (2015). Proper assessment of leptin results with confounders. Scandinavian journal of clinical and laboratory investigation, 75(5), 438-9. https://doi.org/10.3109/00365513.2015.1033744
Sertoglu, Erdim, and Tapan, Serkan. "Proper assessment of leptin results with confounders." Scandinavian journal of clinical and laboratory investigation vol. 75,5 (2015): 438-9. doi: https://doi.org/10.3109/00365513.2015.1033744
Sertoglu E, Tapan S. Proper assessment of leptin results with confounders. Scand J Clin Lab Invest. 2015 Sep;75(5):438-9. doi: 10.3109/00365513.2015.1033744. Epub 2015 Apr 28. PMID: 25916836.
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Development of the diabetes typology model for discerning Type 2 diabetes mellitus with national survey data.

PloS one

Bellatorre A, Jackson SH, Choi K.
PMID: 28253317
PLoS One. 2017 Mar 02;12(3):e0173103. doi: 10.1371/journal.pone.0173103. eCollection 2017.

OBJECTIVE: To classify individuals with diabetes mellitus (DM) into DM subtypes using population-based studies.DESIGN: Population-based survey.SETTING: Individuals participated in 2003-2004, 2005-2006, or 2009-2010 the National Health and Nutrition Examination Survey (NHANES), and 2010 Coronary Artery Risk Development in Young...

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Bellatorre A, Jackson SH, Choi K. Development of the diabetes typology model for discerning Type 2 diabetes mellitus with national survey data. PLoS One. 2017;12(3):e0173103doi: 10.1371/journal.pone.0173103.
Bellatorre, A., Jackson, S. H., & Choi, K. (2017). Development of the diabetes typology model for discerning Type 2 diabetes mellitus with national survey data. PloS one, 12(3), e0173103. https://doi.org/10.1371/journal.pone.0173103
Bellatorre, Anna, et al. "Development of the diabetes typology model for discerning Type 2 diabetes mellitus with national survey data." PloS one vol. 12,3 (2017): e0173103. doi: https://doi.org/10.1371/journal.pone.0173103
Bellatorre A, Jackson SH, Choi K. Development of the diabetes typology model for discerning Type 2 diabetes mellitus with national survey data. PLoS One. 2017 Mar 02;12(3):e0173103. doi: 10.1371/journal.pone.0173103. eCollection 2017. PMID: 28253317; PMCID: PMC5333874.
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Diabetic retinopathy: two faces of the same coin.

TheScientificWorldJournal

Muñoz S, Sanz S, Planas N.
PMID: 19030759
ScientificWorldJournal. 2008 Nov 22;8:1152-3. doi: 10.1100/tsw.2008.138.

We report two contrasting cases of diabetic retinopathy to illustrate vascular and retinal abnormalities in this condition. In the first case, mild diabetic retinopathy is diagnosed in an asymptomatic patient with diabetes mellitus of recent onset. The second patient...

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Muñoz S, Sanz S, Planas N. Diabetic retinopathy: two faces of the same coin. ScientificWorldJournal. 2008;8:1152-3doi: 10.1100/tsw.2008.138.
Muñoz, S., Sanz, S., & Planas, N. (2008). Diabetic retinopathy: two faces of the same coin. TheScientificWorldJournal, 81152-3. https://doi.org/10.1100/tsw.2008.138
Muñoz, Silvia, et al. "Diabetic retinopathy: two faces of the same coin." TheScientificWorldJournal vol. 8 (2008): 1152-3. doi: https://doi.org/10.1100/tsw.2008.138
Muñoz S, Sanz S, Planas N. Diabetic retinopathy: two faces of the same coin. ScientificWorldJournal. 2008 Nov 22;8:1152-3. doi: 10.1100/tsw.2008.138. PMID: 19030759; PMCID: PMC5848768.
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Adipose tissue distribution is different in type 2 diabetes.

The American journal of clinical nutrition

Gallagher D, Kelley DE, Yim JE, Spence N, Albu J, Boxt L, Pi-Sunyer FX, Heshka S.
PMID: 19158213
Am J Clin Nutr. 2009 Mar;89(3):807-14. doi: 10.3945/ajcn.2008.26955. Epub 2009 Jan 21.

BACKGROUND: The extent to which adipose tissue (AT) distribution is different between persons with type 2 diabetes (T2DM) and nondiabetic control subjects remains unclear.OBJECTIVE: The aim of this study was to establish whether total body adiposity and its distribution,...

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Gallagher D, Kelley DE, Yim JE, et al. Adipose tissue distribution is different in type 2 diabetes. Am J Clin Nutr. 2009;89(3):807-14doi: 10.3945/ajcn.2008.26955.
Gallagher, D., Kelley, D. E., Yim, J. E., Spence, N., Albu, J., Boxt, L., Pi-Sunyer, F. X., Heshka, S. (2009). Adipose tissue distribution is different in type 2 diabetes. The American journal of clinical nutrition, 89(3), 807-14. https://doi.org/10.3945/ajcn.2008.26955
Gallagher, Dympna, et al. "Adipose tissue distribution is different in type 2 diabetes." The American journal of clinical nutrition vol. 89,3 (2009): 807-14. doi: https://doi.org/10.3945/ajcn.2008.26955
Gallagher D, Kelley DE, Yim JE, Spence N, Albu J, Boxt L, Pi-Sunyer FX, Heshka S. Adipose tissue distribution is different in type 2 diabetes. Am J Clin Nutr. 2009 Mar;89(3):807-14. doi: 10.3945/ajcn.2008.26955. Epub 2009 Jan 21. PMID: 19158213; PMCID: PMC2714397.
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The diabetes conundrum: despite increasing incidences of coronary disease in diabetic type II patients, their first cathlab presentation is later than expected: observations from an angiographic and optical coherence tomography study.

European heart journal

Bruining N.
PMID: 23264585
Eur Heart J. 2013 Mar;34(10):715-8. doi: 10.1093/eurheartj/ehs441. Epub 2012 Dec 21.

No abstract available.

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Bruining N. The diabetes conundrum: despite increasing incidences of coronary disease in diabetic type II patients, their first cathlab presentation is later than expected: observations from an angiographic and optical coherence tomography study. Eur Heart J. 2012;34(10):715-8doi: 10.1093/eurheartj/ehs441.
Bruining, N. (2013). The diabetes conundrum: despite increasing incidences of coronary disease in diabetic type II patients, their first cathlab presentation is later than expected: observations from an angiographic and optical coherence tomography study. European heart journal, 34(10), 715-8. https://doi.org/10.1093/eurheartj/ehs441
Bruining, Nico. "The diabetes conundrum: despite increasing incidences of coronary disease in diabetic type II patients, their first cathlab presentation is later than expected: observations from an angiographic and optical coherence tomography study." European heart journal vol. 34,10 (2013): 715-8. doi: https://doi.org/10.1093/eurheartj/ehs441
Bruining N. The diabetes conundrum: despite increasing incidences of coronary disease in diabetic type II patients, their first cathlab presentation is later than expected: observations from an angiographic and optical coherence tomography study. Eur Heart J. 2013 Mar;34(10):715-8. doi: 10.1093/eurheartj/ehs441. Epub 2012 Dec 21. PMID: 23264585.
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Multidisciplinary Collaboration in the Treatment of Patients With Type 2 Diabetes in Primary Care: Analysis Using Process Mining.

Journal of medical Internet research

Conca T, Saint-Pierre C, Herskovic V, Sepúlveda M, Capurro D, Prieto F, Fernandez-Llatas C.
PMID: 29636315
J Med Internet Res. 2018 Apr 10;20(4):e127. doi: 10.2196/jmir.8884.

BACKGROUND: Public health in several countries is characterized by a shortage of professionals and a lack of economic resources. Monitoring and redesigning processes can foster the success of health care institutions, enabling them to provide a quality service while...

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Conca T, Saint-Pierre C, Herskovic V, et al. Multidisciplinary Collaboration in the Treatment of Patients With Type 2 Diabetes in Primary Care: Analysis Using Process Mining. J Med Internet Res. 2018;20(4):e127doi: 10.2196/jmir.8884.
Conca, T., Saint-Pierre, C., Herskovic, V., Sepúlveda, M., Capurro, D., Prieto, F., & Fernandez-Llatas, C. (2018). Multidisciplinary Collaboration in the Treatment of Patients With Type 2 Diabetes in Primary Care: Analysis Using Process Mining. Journal of medical Internet research, 20(4), e127. https://doi.org/10.2196/jmir.8884
Conca, Tania, et al. "Multidisciplinary Collaboration in the Treatment of Patients With Type 2 Diabetes in Primary Care: Analysis Using Process Mining." Journal of medical Internet research vol. 20,4 (2018): e127. doi: https://doi.org/10.2196/jmir.8884
Conca T, Saint-Pierre C, Herskovic V, Sepúlveda M, Capurro D, Prieto F, Fernandez-Llatas C. Multidisciplinary Collaboration in the Treatment of Patients With Type 2 Diabetes in Primary Care: Analysis Using Process Mining. J Med Internet Res. 2018 Apr 10;20(4):e127. doi: 10.2196/jmir.8884. PMID: 29636315; PMCID: PMC5915667.
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Well-being interventions for individuals with diabetes: A systematic review.

Diabetes research and clinical practice

Massey CN, Feig EH, Duque-Serrano L, Wexler D, Moskowitz JT, Huffman JC.
PMID: 30500545
Diabetes Res Clin Pract. 2019 Jan;147:118-133. doi: 10.1016/j.diabres.2018.11.014. Epub 2018 Nov 27.

In patients with diabetes, psychological well-being constructs (e.g., optimism, positive affect) have been associated with superior medical outcomes, including better glucose control and lower mortality rates. Well-being interventions may be well-suited to individuals with diabetes, as they are simple...

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Massey CN, Feig EH, Duque-Serrano L, et al. Well-being interventions for individuals with diabetes: A systematic review. Diabetes Res Clin Pract. 2018;147:118-133doi: 10.1016/j.diabres.2018.11.014.
Massey, C. N., Feig, E. H., Duque-Serrano, L., Wexler, D., Moskowitz, J. T., & Huffman, J. C. (2019). Well-being interventions for individuals with diabetes: A systematic review. Diabetes research and clinical practice, 147118-133. https://doi.org/10.1016/j.diabres.2018.11.014
Massey, Christina N, et al. "Well-being interventions for individuals with diabetes: A systematic review." Diabetes research and clinical practice vol. 147 (2019): 118-133. doi: https://doi.org/10.1016/j.diabres.2018.11.014
Massey CN, Feig EH, Duque-Serrano L, Wexler D, Moskowitz JT, Huffman JC. Well-being interventions for individuals with diabetes: A systematic review. Diabetes Res Clin Pract. 2019 Jan;147:118-133. doi: 10.1016/j.diabres.2018.11.014. Epub 2018 Nov 27. PMID: 30500545; PMCID: PMC6370485.
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Association between MIC-1 and Type 2 Diabetes: A Combined Analysis.

Disease markers

Lu J, Zhang Y, Dong X, Lu J, Zhang C, Liu J, Yu Q, Teng H, Yao Q, Yin J, Qin L.
PMID: 31827641
Dis Markers. 2019 Nov 16;2019:7284691. doi: 10.1155/2019/7284691. eCollection 2019.

BACKGROUND AND OBJECTIVES: Type 2 diabetes mellitus (T2DM) is an epidemic disease that endangers human health seriously. Recently, a large number of reports have revealed that macrophage-inhibiting cytokine-1 (MIC-1) is linked with T2DM, but the results were inconclusive. The...

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Lu J, Zhang Y, Dong X, et al. Association between MIC-1 and Type 2 Diabetes: A Combined Analysis. Dis Markers. 2019;2019:7284691doi: 10.1155/2019/7284691.
Lu, J., Zhang, Y., Dong, X., Lu, J., Zhang, C., Liu, J., Yu, Q., Teng, H., Yao, Q., Yin, J., & Qin, L. (2019). Association between MIC-1 and Type 2 Diabetes: A Combined Analysis. Disease markers, 20197284691. https://doi.org/10.1155/2019/7284691
Lu, Jianan, et al. "Association between MIC-1 and Type 2 Diabetes: A Combined Analysis." Disease markers vol. 2019 (2019): 7284691. doi: https://doi.org/10.1155/2019/7284691
Lu J, Zhang Y, Dong X, Lu J, Zhang C, Liu J, Yu Q, Teng H, Yao Q, Yin J, Qin L. Association between MIC-1 and Type 2 Diabetes: A Combined Analysis. Dis Markers. 2019 Nov 16;2019:7284691. doi: 10.1155/2019/7284691. eCollection 2019. PMID: 31827641; PMCID: PMC6885201.
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Showing 1 to 12 of 29 entries