An overview of management issues in adult patients with type 2 diabetes mellitus

Vigersky, Robert A.

doi:10.1177/193229681100500207

Cited by 50Diabetes Management and EducationDiabetes Treatment and ManagementDiabetes Management and Research

An overview of management issues in adult patients with type 2 diabetes mellitus

Open access

Vigersky, Robert A.·2011·Journal of Diabetes Science and Technology

DOI 10.1177/193229681100500207PMC PMC3125912

Open this paper in CoChat — free account Open PDF

Abstract

Despite some progress in reducing the rate of diabetic complications, the epidemic rise in incidence of diabetes mellitus ensures that there will be an increasing number of patients in the coming decades with complex health care management issues who will need efficient and effective care. The management of patients with diabetes is an ever-challenging endeavor attributable to several factors. These include, among others, (1) limited provider expertise, (2) decreasing time of a patient visit, (3) increasing complexity of drug management, (4) limited use of self-monitoring of blood glucose by patients and/or providers, (5) clinical inertia, and (6) nonadherence. Technology-driven innovative solutions, including those using virtual reality, are desperately needed to assist both patients and their providers in overcoming the exigencies of this protean disease.

Integrity signals

Registry

Crossref · 10.1177/193229681100500207

Cites

42 of 42 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Factors other than patient behavior-such as adequacy of medical management, diabetes duration, weight gain, comorbid illness, concomitant medication, poverty, access to care, and health insurance coverage-affect diabetes treatment outcomes.
“Multiple factors other than patient behavior affect diabetes treatment outcomes, including adequacy of medical management, duration of diabetes, weight gain, and other health-related (e.g., comorbid illness and concomitant medication) and social-structural factors (e.g., poverty, access to care, health insurance coverage) (13–16).”
From Psychosocial care for people with diabetes: a position statement of the American Diabetes Association (2016) · cites this paper as [15]

The Effect of Intensive Treatment of Diabetes on the Development and Progression of Long-Term Complications in Insulin-Dependent Diabetes Mellitus
(1993) · New England Journal of Medicine · doi:10.1056/nejm199309303291401 · Cited by 24,667 · see citing works
Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes (UKPDS 33)
(1998) · The Lancet · doi:10.1016/s0140-6736(98)07019-6 · Cited by 20,023 · see citing works
Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes (UKPDS 33). UK Prospective Diabetes Study (UKPDS) Group.
Turner, R. C., Fox, C., Matthews, McElroy, H. H., Cull, C. A., Holman, R. R., Neil, P., Hadden, D. R., Wright, D., Manley, E., et al. (1998) · The Lancet · Cited by 8,419 · see citing works
10-year follow-up of intensive glucose control in type 2 diabetes
Holman, R. R., Paul, S. K., Bethel, M. A., Matthews, D. R., & Neil, H. A. W. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa0806470 · Cited by 7,751 · see citing works
Intensive diabetes treatment and cardiovascular disease in patients with type 1 diabetes
(2005) · New England Journal of Medicine · doi:10.1056/nejmoa052187 · Cited by 5,138 · see citing works
Standards of medical care in diabetes 2010
American Diabetes Association (2010) · Diabetes Care · doi:10.2337/dc10-s011 · Cited by 3,470 · see citing works
Intensive insulin therapy prevents the progression of diabetic microvascular complications in Japanese patients with non-insulin-dependent diabetes mellitus: a randomized prospective 6-year study.
Ohkubo, Y., Kishikawa, H., Araki, E., Miyata, T., Isami, S., Motoyoshi, S., Kojima, Y., Furuyoshi, N., & Shichiri, M. (1995) · Diabetes Research and Clinical Practice · doi:10.1016/0168-8227(95)01064-k · Cited by 3,079 · see citing works
Comment on: American Diabetes Association. Standards of Medical Care in Diabetes—2011. Diabetes Care 2011;34(Suppl. 1):S11–S61
Basevi, V., Mario, S. D., Morciano, C., Nonino, F., & Magrini, N. (2011) · Diabetes Care · doi:10.2337/dc11-0174 · Cited by 3,058 · see citing works
Prevalence of Diabetes among Men and Women in China
Yang, W., Lu, J., Weng, J., Jia, W., Ji, L., Xiao, J., Shan, Z., Liu, J., Tian, H., Ji, Q., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa0908292 · Cited by 3,031 · see citing works
Lifetime risk for diabetes mellitus in the United States
Narayan, K. M. V. (2003) · JAMA · doi:10.1001/jama.290.14.1884 · Cited by 1,515 · see citing works
Economic costs of diabetes in the U.S. in 2007
American Diabetes Association (2008) · Diabetes Care · doi:10.2337/dc08-9017 · Cited by 1,323 · see citing works
Retinopathy in Diabetes
Fong, D. S., Aiello, L. P., Gardner, T. W., King, G. L., Blankenship, G. W., Cavallerano, J. D., Ferris, F. L., & Klein, R. (2004) · Diabetes Care · doi:10.2337/diacare.27.2007.s84 · Cited by 1,138 · see citing works
Inadequate Management of Blood Pressure in a Hypertensive Population
Berlowitz, D. R., Ash, A. S., Hickey, E. C., Friedman, R. H., Glickman, M. E., Kader, B., & Moskowitz, M. A. (1998) · New England Journal of Medicine · doi:10.1056/nejm199812313392701 · Cited by 957 · see citing works
Economic Costs of Diabetes in the U.S. in 2007
Leahy, J. L. (2008) · Yearbook of Endocrinology · doi:10.1016/s0084-3741(08)79219-9 · Cited by 781 · see citing works
Business Information
Rodbard, H. W., Blonde, L., Ss, B., Brett, E. M., Cobin, R. H., Handelsman, Y., Hellman, R., Jellinger, P. S., Jovanovic, L. G., Levy, P., et al. (2007) · Endocrine Practice · doi:10.4158/ep.13.s1.1 · Cited by 693 · see citing works
Prevalence of diabetes and high risk for diabetes using A1C criteria in the U.S. population in 1988-2006
Cowie, C. C., Rust, K. F., Byrd-Holt, D. D., Gregg, E. W., Ford, E. S., Geiss, L. S., Bainbridge, K. E., & Fradkin, J. E. (2010) · Diabetes Care · doi:10.2337/dc09-1524 · Cited by 689 · see citing works
Cost-effectiveness of Intensive Glycemic Control, Intensified Hypertension Control, and Serum Cholesterol Level Reduction for Type 2 Diabetes
The CDC Diabetes Cost-effectiveness Group (2002) · JAMA · doi:10.1001/jama.287.19.2542 · Cited by 507 · see citing works
Self-monitoring of blood glucose: language and financial barriers in a managed care population with diabetes.
Karter, A. J., Ferrara, A. M., Darbinian, J. A., Ackerson, L., & Selby, J. V. (2000) · Diabetes Care · doi:10.2337/diacare.23.4.477 · Cited by 488 · see citing works
Is Glycemic Control Improving in U.S. Adults?
Hoerger, T. J., Segel, J. E., Gregg, E. W., & SAADDINE, J. B. (2007) · Diabetes Care · doi:10.2337/dc07-1572 · Cited by 477 · see citing works
Lifetime Benefits and Costs of Intensive Therapy as Practiced in the Diabetes Control and Complications Trial
(1996) · JAMA · doi:10.1001/jama.1996.03540170053032 · Cited by 457 · see citing works
The Burden of Treatment Failure in Type 2 Diabetes
Brown, J. B., Nichols, G. A., & Perry, A. (2004) · Diabetes Care · doi:10.2337/diacare.27.7.1535 · Cited by 424 · see citing works
Clinical Outcomes and Adherence to Medications Measured by Claims Data in Patients With Diabetes
Pladevall, M., Williams, L. K., Potts, L. A., Divine, G., Xi, H., & Lafata, J. E. (2004) · Diabetes Care · doi:10.2337/diacare.27.12.2800 · Cited by 404 · see citing works
Diabetes Prevalence and Therapeutic Target Achievement in the United States, 1999 to 2006
Cheung, B. M. Y., Ong, K. L., Cherny, S. S., Sham, P. C., Tso, A. W. K., & Lam, K. S. L. (2009) · The American Journal of Medicine · doi:10.1016/j.amjmed.2008.09.047 · Cited by 347 · see citing works
The Cost to Health Plans of Poor Glycemic Control
Gilmer, T., O’Connor, P. J., Manning, W. G., & Rush, W. A. (1997) · Diabetes Care · doi:10.2337/diacare.20.12.1847 · Cited by 303 · see citing works
The D-Net diabetes self-management program: long-term implementation, outcomes, and generalization results
Glasgow, R. E., Boles, S. M., McKay, H. G., Feil, E. G., & Barrera, M. (2003) · Preventive Medicine · doi:10.1016/s0091-7435(02)00056-7 · Cited by 287 · see citing works
Medication Adherence and Associated Hemoglobin A 1c in Type 2 Diabetes
Krapek, K. J., KING, K. B., Warren, S. S., George, K. G., Caputo, D. A., Mihelich, K., Holst, E. M., Nichol, M. B., Shi, S., Livengood, K., et al. (2004) · Annals of Pharmacotherapy · doi:10.1345/aph.1d612 · Cited by 287 · see citing works
Self-monitoring of blood glucose in type 2 diabetes and long-term outcome: an epidemiological cohort study
Martin, S., Schneider, B., Heinemann, L., Lodwig, V., Kurth, H.-J., Kolb, H., Scherbaum, W. A., & for the ROSSO Study Group (2006) · Diabetologia · doi:10.1007/s00125-005-0083-5 · Cited by 284 · see citing works
Time Spent in Face-to-Face Patient Care and Work Outside the Examination Room
Gottschalk, A. (2005) · The Annals of Family Medicine · doi:10.1370/afm.404 · Cited by 238 · see citing works
United States Department Of Veterans Affairs.
Baker, R. R. (2000) · Oxford University Press eBooks · doi:10.1037/10523-059 · Cited by 235 · see citing works
Is the frequency of self-monitoring of blood glucose related to long-term metabolic control? Multicenter analysis including 24,500 patients from 191 centers in Germany and Austria
Schütt, M., Kern, Krause, U., Busch, Dapp, A., Grziwotz, Mayer, I., Rosenbauer, Wagner, C., Zimmermann, et al. (2006) · Experimental and Clinical Endocrinology & Diabetes · doi:10.1055/s-2006-924152 · Cited by 218 · see citing works
Practice-Linked Online Personal Health Records for Type 2 Diabetes Mellitus
Grant, R. W., Wald, J. S., Schnipper, J. L., Gandhi, T. K., Poon, E. G., Orav, E. J., Williams, D. H., Volk, L. A., & Middleton, B. (2008) · Archives of Internal Medicine · doi:10.1001/archinte.168.16.1776 · Cited by 209 · see citing works
A Comparison of Diabetes Education Administered Through Telemedicine Versus in Person
Izquierdo, R. E., Knudson, P. E., Meyer, S., Kearns, J. W., Ploutz-Snyder, R. J., & Weinstock, R. S. (2003) · Diabetes Care · doi:10.2337/diacare.26.4.1002 · Cited by 202 · see citing works
Potential Short-Term Economic Benefits of Improved Glycemic Control
Menzin, J., Langley-Hawthorne, C., Friedman, M., Boulanger, L., & Cavanaugh, R. (2001) · Diabetes Care · doi:10.2337/diacare.24.1.51 · Cited by 176 · see citing works
What's Keeping Us So Busy in Primary Care? A Snapshot from One Practice
Baron, R. J. (2010) · New England Journal of Medicine · doi:10.1056/nejmon0910793 · Cited by 147 · see citing works
The Effects of Treatment on the Direct Costs of Diabetes
Herman, W. H., & Eastman, R. C. (1998) · Diabetes Care · doi:10.2337/diacare.21.3.c19 · Cited by 143 · see citing works
When More Is Not Better
Heisler, M., Hogan, M. M., Hofer, T. P., Schmittdiel, J. A., Pladevall, M., & Kerr, E. A. (2008) · Circulation · doi:10.1161/circulationaha.107.724104 · Cited by 143 · see citing works
Application of a Diabetes Managed Care Program: The feasibility of using nurses and a computer system to provide effective care
Peters, A. L., & Davidson, M. B. (1998) · Diabetes Care · doi:10.2337/diacare.21.7.1037 · Cited by 131 · see citing works
Inconsistent Use of Diabetes Medications, Diabetes Complications, and Mortality in Older Mexican Americans Over a 7-Year Period
Kuo, Y., Raji, M. A., Markides, K. S., Ray, L. A., Espino, D. V., & Goodwin, J. S. (2003) · Diabetes Care · doi:10.2337/diacare.26.11.3054 · Cited by 124 · see citing works
A Model to Determine Workforce Needs for Endocrinologists in the United States Until 2020
Rizza, R. A., Vigersky, R. A., Rodbard, H. W., Ladenson, P. W., Young, W. F., Surks, M. I., Kahn, R., & Hogan, P. F. (2003) · Endocrine Practice · doi:10.4158/ep.9.3.210 · Cited by 44 · see citing works
Self-citation
A Model to Determine Workforce Needs for Endocrinologists in the United States Until 20201
Rizza, R. A., Vigersky, R. A., Rodbard, H. W., Ladenson, P. W., Young, W. F., Surks, M. I., Kahn, R., & Hogan, P. F. (2003) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2002-021288 · Cited by 34 · see citing works
Self-citation
Can Technology Improve Adherence to Long-Term Therapies?
Reach, G. (2009) · Journal of Diabetes Science and Technology · doi:10.1177/193229680900300313 · Cited by 20 · see citing works
Diabetes home monitoring project
Alaoui, A., Clément, S., Khanafer, N., Collman, J., Levine, B. A., & Mun, S. K. (2002) · Pacific Medical Technology Symposium · doi:10.1109/pacmed.1998.769917 · Cited by 12 · see citing works

Flagged first, then by citations

1 of the 43 references couldn’t be matched to a known paper.

Sorted by citations

Risk Factors Contributing to Type 2 Diabetes and Recent Advances in the Treatment and Prevention
Wu, Y., Ding, Y., Tanaka, Y., & Zhang, W. (2014) · International Journal of Medical Sciences · doi:10.7150/ijms.10001 · Cited by 1,317 · see citing works
Psychosocial care for people with diabetes: a position statement of the American Diabetes Association
Young-Hyman, D., de Groot, M., Hill-Briggs, F., Gonzalez, J. S., Hood, K., & Peyrot, M. (2016) · Diabetes Care · doi:10.2337/dc16-2053 · Cited by 1,072 · see citing works
Psychosocial factors in medication adherence and diabetes self-management: Implications for research and practice.
Gonzalez, J. S., Tanenbaum, M. L., & Commissariat, P. V. (2016) · American Psychologist · doi:10.1037/a0040388 · Cited by 354 · see citing works
Efficacy and safety of empagliflozin, a sodium glucose cotransporter 2 ( SGLT2 ) inhibitor, as add‐on to metformin in type 2 diabetes with mild hyperglycaemia
Rosenstock, J., SEMAN, L. J., Jelaska, A., Hantel, S., Pinnetti, S., Hach, T., & Woerle, H. J. (2013) · Diabetes Obesity and Metabolism · doi:10.1111/dom.12185 · Cited by 214 · see citing works
A rapid-acting, long-acting insulin formulation based on a phospholipid complex loaded PHBHHx nanoparticles
Peng, Q., Zhang, Z., Gong, T., Chen, G., & Sun, X. (2011) · Biomaterials · doi:10.1016/j.biomaterials.2011.10.072 · Cited by 145 · see citing works
Individual differences in regulatory mode moderate the effectiveness of a pilot mHealth trial for diabetes management among older veterans
DUGAS, M. A., Crowley, K., Gao, G. G., Xu, T. T., Agarwal, R., Kruglanski, A. W., & Steinle, N. (2018) · PLoS ONE · doi:10.1371/journal.pone.0192807 · Cited by 58 · see citing works
Virtual Reality Technologies for Research and Education in Obesity and Diabetes: Research Needs and Opportunities
Ershow, A. G., Peterson, C. M., Riley, W. T., Rizzo, A., & Wansink, B. C. (2011) · Journal of Diabetes Science and Technology · doi:10.1177/193229681100500202 · Cited by 51 · see citing works
Successful self‐management among non‐insulin‐treated adults with Type 2 diabetes: a self‐regulation perspective
Tanenbaum, M. L., Leventhal, H., Breland, J. Y., Yu, J., Walker, E. A., & Gonzalez, J. S. (2015) · Diabetic Medicine · doi:10.1111/dme.12745 · Cited by 42 · see citing works
Enhancing Patient Activation and Self-Management Activities in Patients With Type 2 Diabetes Using the US Department of Defense Mobile Health Care Environment: Feasibility Study
Gimbel, R. W., Rennert, L., Crawford, P. F., Little, J. R., Truong, K. D., Williams, J. E., Griffin, S. F., Shi, L., Chen, L., Zhang, L., et al. (2020) · Journal of Medical Internet Research · doi:10.2196/17968 · Cited by 40 · see citing works
Using mobile phone text messages to improve insulin injection technique and glycaemic control in patients with diabetes mellitus: a multi‐centre study in T urkey
Çelik, S. G., Coşansu, G., Erdoğan, S., Kahraman, A., Isik, S., Bayrak, G., Bektas, B., & Olgun, N. (2014) · Journal of Clinical Nursing · doi:10.1111/jocn.12731 · Cited by 38 · see citing works
Are adults diagnosed with diabetes achieving the American Diabetes Association clinical practice recommendations?
Pérez, C. M., Febo-Vázquez, I., Guzmán, M., Ortiz, A. P., & Suarez, E. L. (2012) · PubMed · Cited by 30 · see citing works
Value and Utility of Self-Monitoring of Blood Glucose in Non-Insulin-Treated Patients With Type 2 Diabetes Mellitus
Blevins, T. (2013) · Postgraduate Medicine · doi:10.3810/pgm.2013.05.2668 · Cited by 29 · see citing works
Reprogrammed cell delivery for personalized medicine
Wieland, M., & Fussenegger, M. (2012) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2012.06.005 · Cited by 24 · see citing works
Managing diabetes mellitus with comorbidities in primary healthcare facilities in urban settings: a qualitative study among physicians in Odisha, India
Pati, S., Pati, S., van den Akker, M., Schellevis, F., Sahoo, K. C., & Burgers, J. S. (2021) · BMC Family Practice · doi:10.1186/s12875-021-01454-4 · Cited by 22 · see citing works
A feasibility study on low-dose mindfulness-based stress reduction intervention among prediabetes and diabetes patients
Xia, T., Lopes, S. S., Chen, L., Roth, R., Zinzow, H. M., Jones, K. O., Zhang, L., Shi, L., & Jindal, M. (2022) · Complementary Therapies in Medicine · doi:10.1016/j.ctim.2022.102810 · Cited by 18 · see citing works
Treatment Compliance with Fixed-Dose Combination of Vildagliptin/Metformin in Patients with Type 2 Diabetes Mellitus Inadequately Controlled with Metformin Monotherapy: A 24-Week Observational Study
Rombopoulos, G., Hatzikou, M., Athanasiadis, A., & Elisaf, M. (2015) · International Journal of Endocrinology · doi:10.1155/2015/251485 · Cited by 16 · see citing works
Enhancing mHealth Technology in the Patient-Centered Medical Home Environment to Activate Patients With Type 2 Diabetes: A Multisite Feasibility Study Protocol
Gimbel, R. W., Shi, L., Williams, J. E., Dye, C. J., Chen, L., Crawford, P. F., Shry, E. A., Griffin, S. F., Jones, K. O., Sherrill, W. W., et al. (2017) · JMIR Research Protocols · doi:10.2196/resprot.6993 · Cited by 16 · see citing works
The analysis of the skeletal muscle metabolism is crucial for designing optimal exercise paradigms in type 2 diabetes mellitus
Akar, E. A., Weill, L., Khoury, M. E., Caradeuc, C., Bertho, G., Boutary, S., Bézier, C., Clerc, Z., Sapaly, D., Bendris, S., et al. (2024) · Molecular Medicine · doi:10.1186/s10020-024-00850-7 · Cited by 13 · see citing works
Efficacy and Safety of Insulin Glargine in Type 2 Diabetic Patients with Renal Failure
Niafar, M., & Nakhjavani, M. (2012) · Journal of Diabetes & Metabolism · doi:10.4172/2155-6156.1000189 · Cited by 13 · see citing works
Demonstrating the Burden of Hypoglycemia on Patients' Quality of Life in Diabetes Clinical Trials: Measurement Considerations for Hypoglycemia
Gilet, H., Gruenberger, J.-B., Bader, G., & Viala-Danten, M. (2012) · Value in Health · doi:10.1016/j.jval.2012.06.002 · Cited by 13 · see citing works
Unraveling the Host Genetic Background Effect on Internal Organ Weight Influenced by Obesity and Diabetes Using Collaborative Cross Mice
Ghnaim, A., Lone, I. M., Nun, N. B., & Iraqi, F. A. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24098201 · Cited by 12 · see citing works
Transcultural Diabetes Nutrition Algorithm: The Mexican Application
Galvis, A. B. (2014) · Journal of Diabetes & Metabolism · doi:10.4172/2155-6156.1000423 · Cited by 11 · see citing works
How are medication related problems managed in primary care? An exploratory study in patients with diabetes and primary care providers.
Eikenhorst, L. V., Taxis, K., Rademakers, J., Zullig, L., de Gier, H. D., & van Dijk, L. (2020) · Research in Social and Administrative Pharmacy · doi:10.1016/j.sapharm.2019.08.004 · Cited by 9 · see citing works
Analyzing Unstructured Communication in a Computer-Mediated Environment for Adults With Type 2 Diabetes: A Research Protocol
Lewinski, A. A., Anderson, R. A., Vorderstrasse, A. A., Fisher, E. B., Pan, W., & Johnson, C. (2017) · JMIR Research Protocols · doi:10.2196/resprot.7442 · Cited by 9 · see citing works
Identification of Important Factors Affecting Use of Digital Individualised Coaching and Treatment of Type 2 Diabetes in General Practice: A Qualitative Feasibility Study
Jakobsen, P. R., Christensen, J. R., Nielsen, J. B., Søndergaard, J., Jarbøl, D. E., Olsen, M. H., Nielsen, J. S., Kristensen, J. K., & Brandt, C. J. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18083924 · Cited by 7 · see citing works
Perceptions of Usability and Design for Prefilled Insulin Delivery Devices for Patients With Type 2 Diabetes
Heron, L., Reaney, M. D., Hermanns, N., Abetz, L. N., & Gregg, L. C. (2013) · Diabetes Spectrum · doi:10.2337/diaspect.26.1.16 · Cited by 5 · see citing works
Effects of Psychological Intervention in Glycemic Control of Patients with Type 2 Diabetes in Integrated Primary Care Setting
Brusadelli, E., Tomasich, A., Bruno, S., Romanazzi, A., Dagani, R., & Porcelli, P. (2018) · Psychotherapy and Psychosomatics · doi:10.1159/000486486 · Cited by 4 · see citing works
Changes in TLR-4 expression level and CD14+CD16+ monocyte ratio in the peripheral blood of patients with early diabetic nephropathies
Chen, Y., Men, K., Meng, C.-M., Ma, J., & Guo, J.-C. (2020) · ScienceAsia · doi:10.2306/scienceasia1513-1874.2020.022 · Cited by 4 · see citing works
The impact of okra on metabolic parameters in Type 2 diabetes patients: Results from a double-blind clinical trial
Hesamzadeh, A., Kashi, Z., Bahar, A., Saeidi, M., Ramzani, A., & Tahamtan, R. M. P. (2025) · Advances in Integrative Medicine · doi:10.1016/j.aimed.2025.03.004 · Cited by 3 · see citing works
Evaluación de la calidad en cuidados médicos prestados a pacientes diabéticos: un ciclo de mejora
Navarro-Martínez, A., Suárez-Beke, M. P., Sánchez-Nicolás, J. A., Lázaro-Aragues, P., Jiménez-Vázquez, E. D. J., & Mora, O. H.-D. (2014) · Revista de Calidad Asistencial · doi:10.1016/j.cali.2014.11.001 · Cited by 3 · see citing works
Anti-Diabetics Drug Usage and Related Pharmaceutical Care Issues among Geriatrics and Non-Geriatrics: A Comparative Assessment
Inamdar, S. Z., & Kulkarni, R. V. (2017) · Indian Journal of Pharmacy Practice · doi:10.5530/ijopp.10.3.35 · Cited by 3 · see citing works
Barriers and facilitators for implementation of lifestyle related blended care interventions for overweight, obesity and type 2 diabetes mellitus: a scoping review
Lansink, C., Middelweerd, A., Laverman, G. D., & Jong, N. B.-D. (2026) · Implementation Science Communications · doi:10.1186/s43058-026-00904-3 · Cited by 2 · see citing works
Managing diabetes mellitus with comorbidities in primary healthcare facilities: a qualitative study among physicians in Odisha, IndiaPreprint
Pati, S., Pati, S., van den Akker, M., Schellevis, F., Sahoo, K. C., & Burgers, J. S. (2020) · doi:10.21203/rs.3.rs-22272/v2 · Cited by 2 · see citing works
Time to first optimal glycemic control and its predictors among adult type 2 diabetes patients in Amhara Regional State comprehensive specialized hospitals, Northwest Ethiopia
Chalie, S., Ewunetie, A. A., Assemie, M. A., Birhanie, A. L., Molla, F., Telayneh, A. T., & Endalew, B. (2024) · BMC Endocrine Disorders · doi:10.1186/s12902-024-01695-1 · Cited by 1 · see citing works
Mechanistic Insight of Innovative Biomarkers for Screening of Type II Diabetes Mellitus
Yadav, S. D., & Singh, N. (2023) · Current Indian Science · doi:10.2174/012210299x257270231127062630 · Cited by 1 · see citing works
Economic burden of diabetes in Telangana: A Cost of illness study
Annam, H. K., Nomula, P., & Gorla, H. (2020) · World Journal of Current Medical and Pharmaceutical Research · doi:10.37022/wjcmpr.2020.2211 · Cited by 1 · see citing works
Effects of message framing on self-management behaviour among patients with type 2 diabetes: a randomised controlled trial protocol
Gao, R., Guo, H., Liu, Y., Pang, Y., Zhang, X., Lian, X., Yu, T., Zhu, L., & Li, F. (2022) · BMJ Open · doi:10.1136/bmjopen-2021-056450 · Cited by 1 · see citing works
Social Interaction and Support in a Type 2 Diabetes Computer-Mediated Environment
Lewinski, A. A. (2017) · Cited by 1 · see citing works
Perceptions of Behavioral and Lifestyle Changes Among African American Women With Type 2 Diabetes
Almonor, M. (2016) · ScholarWorks (Walden University)
RISK FACTORS FOR EARLY DEVELOPMENT OF POLYNEUROPATHY AMONG TYPE II DIABETIC PATIENTS.
MahfouzH, M., HashemA, H., & Mostafa, Y. (2017) · International Journal of Advanced Research · doi:10.21474/ijar01/5416
Evaluation of wound healing activity of dalbergia sisso leaves in alloxan induced hyperglycemic rats
Soni, P., Qureshi, Z., Masood, M., & Jain, S. (2020) · Journal of Emerging Technologies and Innovative Research
Ultrasonographic Renal Dimensions Amongst Adult Nigerian Diabetics: Correlation with Clinical, Anthropometric and Metabolic Risk Factors.
Assenyi, S., & Adekanmi, A. (2020) · African Journal of Biomedical Research
Managing diabetes mellitus with comorbidities in primary healthcare facilities: a qualitative study among physicians in Odisha, IndiaPreprint
Pati, S., Pati, S., van den Akker, M., Schellevis, F., Sahoo, K. C., & Burgers, J. S. (2020) · doi:10.21203/rs.3.rs-22272/v1
Additional file 1 of The analysis of the skeletal muscle metabolism is crucial for designing optimal exercise paradigms in type 2 diabetes mellitus
Akar, E. A., Weill, L., Khoury, M. E., Caradeuc, C., Bertho, G., Boutary, S., Bézier, C., Clerc, Z., Sapaly, D., Bendris, S., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26731981
Additional file 3 of The analysis of the skeletal muscle metabolism is crucial for designing optimal exercise paradigms in type 2 diabetes mellitus
Akar, E. A., Weill, L., Khoury, M. E., Caradeuc, C., Bertho, G., Boutary, S., Bézier, C., Clerc, Z., Sapaly, D., Bendris, S., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26731990
Additional file 2 of The analysis of the skeletal muscle metabolism is crucial for designing optimal exercise paradigms in type 2 diabetes mellitus
Akar, E. A., Weill, L., Khoury, M. E., Caradeuc, C., Bertho, G., Boutary, S., Bézier, C., Clerc, Z., Sapaly, D., Bendris, S., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26731987
L'analyse du métabolisme des muscles squelettiques est crucial pour la conception d'exercices de précision dans le diabète de type 2 : les leçons tirées de modèles souris de fond génétique, de sexe et d'étiologie différents
Akar, E. A. (2022) · theses.fr (ABES) · doi:10.70675/a7b15e3fz84e7z4915z9447zc112181e06e4
Étude de bioactivité, de bioconversion et d’absorption par cellules CACO-2 d’un principe actif d’origine végétale pour la prévention du diabète de type 2
Haguet, Q. (2021) · theses.fr (ABES) · doi:10.70675/d41afb26z3461z49fdza225zb7758bb535b8
The Diagnostic Value of LINC00426 in Type 2 Diabetes and Diabetic Kidney Disease and its Regulatory Effects on Renal Cells
Wang, J., Zhou, M., Xia, H., Feng, D., & Li, B. (2026) · Journal of Visualized Experiments · doi:10.3791/70109
Diabetes and the Uninsured in Montgomery County, Ohio: Effects of a County-Funded Health Services Program on Hemoglobin A1c Values
Feighery, M. (2014) · Journal of Bioresource Management

Emerging technologies for the management of type 2 diabetes mellitus
Shah, N. A., & Levy, C. J. (2021) · Journal of Diabetes · doi:10.1111/1753-0407.13188 · Cited by 15 · see citing works
What are effective strategies to address clinical inertia in the management of type 2 diabetes?
Tripdatabase (2025) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.18068559
Pains and needs of patients with type 2 diabetes as targets for novel technologies
Gruchała, A., Cypryk, K., Schliess, F., Bobeff, K. Ł., Heise, T., Gurdała, M., Szadkowska, A., & Mianowska, B. (2020) · Clinical Diabetology · doi:10.5603/dk.2020.0052 · Cited by 1 · see citing works
Several Aspects of Internet and Web-Based Technology in Diabetes Management
Spearson, C. L., & Mistry, A. (2016) · Diabetes Spectrum · doi:10.2337/ds15-0045 · Cited by 3 · see citing works
Type 2 Diabetes Management in Developing Countries
Atif, M., Asghar, S., Malik, I., Ahmad, N., & Al‐Worafi, Y. M. (2023) · Springer eBooks · doi:10.1007/978-3-030-74786-2_12-1 · Cited by 1 · see citing works

Authors: Vigersky, R. A.
Affiliations: Diabetes Institute, Endocrinology Service, Walter Reed Health Care System, Washington, DC
Corresponding author: Vigersky, Robert A.
ORCID: Vigersky, Robert A.
Venue: Journal of Diabetes Science and Technology
Publisher: SAGE Publications
Published: 2011-03
Volume: 5
Issue: 2
Pages: 245-250
ISSN: 1932-2968 (ISSN-L)
DOI: 10.1177/193229681100500207
PMC: PMC3125912
OpenAlex: W2144499439
Cited by: 50
References: 43
Citations by year: 2026: 2 · 2025: 1 · 2024: 5 · 2023: 2 · 2022: 3 · 2021: 3 · 2020: 7 · 2019: 1 · 2018: 2 · 2017: 5 · 2016: 3 · 2015: 2 · 2014: 5 · 2013: 3 · 2012: 4
Type: conference abstract
Language: en
Open access: bronze
doi.org
Licence: journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
Locations: Journal of Diabetes Science and Technology (publishedVersion)
PubMed Central (publishedVersion)
PubMed (publishedVersion)
Topics: Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
Keywords: type 2 diabetes, adult patients, diabetes management, clinical inertia, medication adherence, self-monitoring of blood glucose, virtual reality
MeSH terms: Aged, Diabetes Mellitus, Type 2, Female, Humans, Male, Middle Aged, Patient Compliance, Patient Education as Topic, Self Care, Medical Laboratory Science, Blood Glucose Self-Monitoring, Health Care Costs, Diabetes Complications

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

An overview of management issues in adult patients with type 2 diabetes mellitus

Abstract

Integrity signals

Claims the paper makes

Claims other papers make about this one

Cites

Cited by

Related

Record

About these checks