The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Frequency of severe hypoglycemia in insulin-dependent diabetes mellitus can be predicted from self-monitoring blood glucose data.
Abstract
Severe hypoglycemia is associated with insulin-dependent diabetes mellitus and may occur more frequently as metabolic control approaches normal. The goal of this study was to determine whether the frequency of severe hypoglycemia could be predicted by the following predictor variables: 1) frequency and degree of low blood glucose (BG) readings, 2) degree of BG variability during routine self-monitoring blood glucose (SMBG) readings, and 3) level of glycemic control measured by glycosylated hemoglobin-A1 (HbA1). Seventy-eight insulin-dependent diabetes mellitus subjects from 3 different sites had their glycosylated HbA1 assayed and then performed 50 SMBG recordings during the next 2-3 weeks. Over the following 6 months, subjects recorded their severe hypoglycemic episodes (stupor or unconsciousness). There was no difference in the number of severe hypoglycemic episodes between subjects in good vs. poor metabolic control. A higher frequency of severe hypoglycemia during the subsequent 6 months was predicted by frequent and extreme low SMBG readings and variability in day to day SMBG readings. Regression analysis indicated that 44% of the variance in severe hypoglycemic episodes could be accounted for by initial measures of BG variance and the extent of low BG readings. Patients who recorded variable and frequent very low BG readings during routine SMBG were at higher risk for subsequent severe hypoglycemia. Individuals who had lower glycosylated Hb levels were not at higher risk of severe hypoglycemic episodes.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“A1C also fails to identify the magnitude and frequency of intra- and inter-day glucose variation (34; 35).”
From Clinical Targets for Continuous Glucose Monitoring Data Interpretation: Recommendations From the International Consensus on Time in Range (2019) · cites this paper as [35]
Citations
Cites
Diabetes Control and Complications Trial
Yue, D. K., Colagiuri, S., McElduff, A., & Silink, M. (1993) · The Medical Journal of Australia · doi:10.5694/j.1326-5377.1993.tb141357.x · Cited by 575
Diabetes Mellitus: Theory and Practice.
(1971) · Annals of Internal Medicine · doi:10.7326/0003-4819-75-2-330_2 · Cited by 567
Heller, S. R., & Cryer, P. E. (1991) · Diabetes · doi:10.2337/diab.40.2.223 · Cited by 531
Fanelli, C. G., Epifano, L., Rambotti, A. M., Pampanelli, S., Di Vincenzo, A., Modarelli, F., Lepore, M., Annibale, B., Ciofetta, M., Bottini, P., et al. (1993) · Diabetes · doi:10.2337/diab.42.11.1683 · Cited by 398
Larner, J., Pohl, S. L., & Clarke, W. L. (1984) · Wiley eBooks · Cited by 362
Self-citationLangan, S. J., Deary, I. J., Hepburn, D. A., & Frier, B. M. (1991) · Diabetologia · doi:10.1007/bf00405006 · Cited by 234
Induction of Hypoglycemia Unawareness by Asymptomatic Nocturnal Hypoglycemia
Veneman, T. F., Mitrakou, A., Mokáň, M., Cryer, P., & Gerich, J. E. (1993) · Diabetes · doi:10.2337/diab.42.9.1233 · Cited by 211
Accuracy of Perceiving Blood Glucose in IDDM
Cox, D. J., Clarke, W. L., Gonder-Frederick, L. A., Pohl, S. L., Hoover, C. W., Snyder, A. L., Zimbelman, L. K., Carter, W. R., Bobbitt, S. A., & Pennebaker, J. W. (1985) · Diabetes Care · doi:10.2337/diacare.8.6.529 · Cited by 169
Self-citationPermanent neuropsychological impairment after recurrent episodes of severe hypoglycaemia in man
Wredling, R., Levander, S. E., Adamson, U., & Lins, P. E. (1990) · Diabetologia · doi:10.1007/bf00404042 · Cited by 159
Long-term follow-up evaluation of blood glucose awareness training
Cox, D. J., Gonder-Frederick, L., Julian, D. M., & Clarke, W. (1994) · Diabetes Care · doi:10.2337/diacare.17.1.1 · Cited by 143
Self-citation
Cited by
Sorted by citations
Battelino, T., Danne, T., Bergenstal, R. M., Amiel, S. A., Beck, R., Biester, T., Bosi, E., Buckingham, B. A., Cefalu, W. T., Close, K. L., et al. (2019) · Diabetes Care · doi:10.2337/dci19-0028 · Cited by 4,237
Self-citationInternational consensus on use of continuous glucose monitoring
Danne, T., Nimri, R., Battelino, T., Bergenstal, R. M., Close, K. L., DeVries, J. H., Garg, S., Heinemann, L., Hirsch, I., Amiel, S. A., et al. (2017) · Diabetes Care · doi:10.2337/dc17-1600 · Cited by 2,069
Self-citationHypoglycaemia in diabetes mellitus: epidemiology and clinical implications
Frier, B. M. (2014) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2014.170 · Cited by 491
Glucose Variability; Does It Matter?
Siegelaar, S. E., Holleman, F., Hoekstra, J. B. L., & DeVries, J. H. (2010) · Endocrine Reviews · doi:10.1210/er.2009-0021 · Cited by 409
1998 clinical practice guidelines for the management of diabetes in Canada
Meltzer, S. J., Leiter, L. A., Daneman, D., Gerstein, H. C., Lau, D. C. W., Ludwig, S. M., Yale, J., Zinman, B., Lillie, D., & Steering, C. (1998) · Canadian Medical Association Journal · Cited by 378
Metrics for glycaemic control - from HbA1c to continuous glucose monitoring
Kovatchev, B. P. (2017) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2017.3 · Cited by 272
Self-citationGlucose Variability: Where It Is Important and How to Measure It
DeVries, J. H. (2013) · Diabetes · doi:10.2337/db12-1610 · Cited by 236
Blood Glucose Awareness Training (BGAT-2)
Cox, D. J., Gonder-Frederick, L., Polonsky, W., Schlundt, D., Kovatchev, B., & Clarke, W. (2001) · Diabetes Care · doi:10.2337/diacare.24.4.637 · Cited by 235
Self-citationClinical Implications of Real-time and Intermittently Scanned Continuous Glucose Monitoring
Edelman, S. V., Argento, N. B., Pettus, J., & Hirsch, I. B. (2018) · Diabetes Care · doi:10.2337/dc18-1150 · Cited by 209
Glycemic Variability and Oxidative Stress: A Link between Diabetes and Cardiovascular Disease?
Saisho, Y. (2014) · International Journal of Molecular Sciences · doi:10.3390/ijms151018381 · Cited by 204
Risk factors associated with severe hypoglycemia in older adults with type 1 diabetes
Weinstock, R. S., DuBose, S. N., Bergenstal, R. M., Chaytor, N. S., Peterson, C., Olson, B. A., Munshi, M. N., Perrin, A. J. S., Miller, K. M., Beck, R. W., et al. (2016) · Diabetes Care · doi:10.2337/dc15-1426 · Cited by 171
on behalf of the DEVOTE Study Group, Zinman, B., Marso, S. P., Poulter, N. R., Emerson, S. S., Pieber, T. R., Pratley, R. E., Lange, M., Brown‐Frandsen, K., Moses, A. C., et al. (2017) · Diabetologia · doi:10.1007/s00125-017-4423-z · Cited by 170
Maternal Fear of Hypoglycemia in their Children with Insulin Dependent Diabetes Mellitus
Clarke, W. L., Gonder-Frederick, L. A., Snyder, A. L., & Cox, D. J. (1998) · Journal of Pediatric Endocrinology and Metabolism · doi:10.1515/jpem.1998.11.s1.189 · Cited by 159
Self-citationKovatchev, B. P., Cox, D. J., Kumar, A., Gonder-Frederick, L. A., & Clarke, W. L. (2003) · Diabetes Technology & Therapeutics · doi:10.1089/152091503322527021 · Cited by 146
Self-citationKAUFMAN, F. R., Austin, J., Neinstein, A. B., Jeng, L., Halvorson, M., Devoe, D. J., & Pitukcheewanont, P. (2002) · The Journal of Pediatrics · doi:10.1067/mpd.2002.129175 · Cited by 136
Prediction of Severe Hypoglycemia
Cox, D. J., Gonder-Frederick, L., Ritterband, L., Clarke, W., & Kovatchev, B. P. (2007) · Diabetes Care · doi:10.2337/dc06-1386 · Cited by 129
Self-citationQu, Y., Jacober, S. J., Zhang, Q., Wolka, L. L., & DeVries, J. H. (2012) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2012.0099 · Cited by 126
Epidemiology of Adverse Drug Reactions in the Elderly by Drug Class
Beyth, R. J., & Shorr, R. I. (1999) · Drugs & Aging · doi:10.2165/00002512-199914030-00005 · Cited by 122
Rama Chandran, S., Tay, W. L., Lye, W. K., Lim, L. L., Ratnasingam, J., Tan, A. T. B., & S.L. Gardner, D. (2018) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2017.0388 · Cited by 114
Glycemic Variability: Risk Factors, Assessment, and Control
Kovatchev, B. P. (2019) · Journal of Diabetes Science and Technology · doi:10.1177/1932296819826111 · Cited by 117
Self-citationVexiau, P., Mavros, P., Krishnarajah, G., Lyu, R., & Yin, D. (2008) · Diabetes Obesity and Metabolism · doi:10.1111/j.1463-1326.2008.00883.x · Cited by 109
Johnson, M. L., Martens, T. W., Criego, A. B., Carlson, A. L., Simonson, G. D., & Bergenstal, R. M. (2019) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2019.0034 · Cited by 106
Risk Factors for Frequent and Severe Hypoglycemia in Type 1 Diabetes
Allen, C. I., LeCaire, T. J., Palta, M., Daniels, K. A., Meredith, M., D'Alessio, D. J., & for the Wisconsin Diabetes Registry Project (2001) · Diabetes Care · doi:10.2337/diacare.24.11.1878 · Cited by 106
Rodbard, H. W., Peters, A. L., Slee, A., Cao, A., Traina, S. B., & Alba, M. (2017) · Diabetes Care · doi:10.2337/dc16-1353 · Cited by 94
Sartore, G., Chilelli, N. C., Burlina, S., Stefano, P. D., Piarulli, F., Fedele, D., Mosca, A., & Lapolla, A. (2012) · Acta Diabetologica · doi:10.1007/s00592-012-0391-4 · Cited by 90
Cox, D. J., Kovatchev, B., Kovatchev, B., Koev, D., Koeva, L., Dachev, S., Tcharaktchiev, D., Protopopova, A., Gonder-Frederick, L., & Clarke, W. (2004) · International Journal of Behavioral Medicine · doi:10.1207/s15327558ijbm1104_4 · Cited by 88
Self-citationKovatchev, B. P., Cox, D. J., Gonder-Frederick, L. A., & Clarke, W. L. (2002) · Diabetes Technology & Therapeutics · doi:10.1089/152091502760098438 · Cited by 85
Self-citationKovatchev, B. P., Cox, D. J., Farhy, L. S., Straume, M., Gonder-Frederick, L. A., & Clarke, W. L. (2000) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jcem.85.11.6999 · Cited by 76
Self-citationJiao, X., Shen, Y., & Chen, Y. (2022) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2021-002633 · Cited by 76
Glycemic variability: Clinical implications
Kota, S., Krishna, S. S., & Modi, K. D. (2013) · Indian Journal of Endocrinology and Metabolism · doi:10.4103/2230-8210.113751 · Cited by 78
Schachinger, H., Hegar, K., Hermanns, N., Straumann, M., Keller, U., Fehm-Wolfsdorf, G., Berger, W., & Cox, D. (2005) · Journal of Behavioral Medicine · doi:10.1007/s10865-005-9026-3 · Cited by 73
Self-citationA Probabilistic Model for Predicting Hypoglycemia in Type 2 Diabetes Mellitus
Murata, G. H., Hoffman, R. M., Shah, J. H., Wendel, C. S., & Duckworth, W. C. (2004) · Archives of Internal Medicine · doi:10.1001/archinte.164.13.1445 · Cited by 71
Rickels, M. R. (2019) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.14214 · Cited by 71
Auerbach, S. M., Clore, J. N., Kiesler, D. J., Orr, T., Pegg, P. O., Quick, B. G., & Wagner, C. C. (2002) · Journal of Behavioral Medicine · doi:10.1023/a:1013585617303 · Cited by 69
Selecting the Appropriate Continuous Glucose Monitoring System – a Practical Approach
Adolfsson, P., Parkin, C. G., Thomas, A., & Krinelke, L. (2018) · touchREVIEWS in Endocrinology · doi:10.17925/ee.2018.14.1.24 · Cited by 65
Monnier, L., Wojtusciszyn, A., Molinari, N., Colette, C., Renard, É., & Owens, D. R. (2020) · Diabetes Care · doi:10.2337/dc19-1549 · Cited by 62
Rickels, M. R., Peleckis, A. J., DALTON-BAKES, C. V., Naji, J. R., Ran, N. A., Nguyen, H.-L., O’Brien, S., Chen, S., Lee, I., & Schutta, M. H. (2017) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2017-01516 · Cited by 61
Rodbard, D. (2018) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2017.0416 · Cited by 58
Hypoglycemia preceding fatal car collisions
Cox, D. J., Kovatchev, B., Vandecar, K., Gonder-Frederick, L., Ritterband, L., & Clarke, W. (2006) · Diabetes Care · doi:10.2337/diacare.29.02.06.dc05-1836 · Cited by 48
Self-citationJENDLE, J. H., Testa, M. A., Martin, S., Jiang, H. H., & Miličević, Z. (2016) · Diabetes Obesity and Metabolism · doi:10.1111/dom.12705 · Cited by 47
Reduced daily risk of glycemic variability: comparison of exenatide with insulin glargine
McCall, A. L., Cox, D. J., Brodows, R., Crean, J., Johns, D., & Kovatchev, B. (2009) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2008.0107 · Cited by 46
Self-citationHypoglycemia in type 2 diabetes: a critical review
Murata, G. H., Duckworth, W. C., Hoffman, R. M., Wendel, C. S., Mohler, M. J., & Shah, J. H. (2004) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2004.09.001 · Cited by 44
International consensus on use of continuous glucose monitoring
Danne, T., Nimri, R., Battelino, T., Bergenstal, R. M., Close, K. L., DeVries, J. H., Garg, S. K., Heinemann, L., Hirsch, I. B., Amiel, S. A., et al. (2018) · Yearbook of pediatric endocrinology · doi:10.1530/ey.15.10.10 · Cited by 44
Self-citationvan Dijk, P. R., Logtenberg, S. J. J., Gans, R. O. B., Bilo, H. J. G., & Kleefstra, N. (2014) · Clinical Endocrinology · doi:10.1111/cen.12546 · Cited by 44
Gómez, A. M., Múñoz, Ó., Sánchez, A. M., Fonseca, M. C., Rondón, M., Gómez, M. A. R., Sanko, A. A., Luján, D., Maira, G., & Vargas, F. M. L. (2018) · Journal of Diabetes Science and Technology · doi:10.1177/1932296818758105 · Cited by 44
Continuous Glucose Monitoring and Diabetes Health Outcomes: A Critical Appraisal
Reach, G. (2008) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2007.0261 · Cited by 38
Jeon, W., Choi, Y., & Kim, H.-H. (2015) · Sensors · doi:10.3390/s151229846 · Cited by 37
Jin, S., Kim, T., Oh, S. W., Baek, J. Y., Joung, J. Y., Park, S. M., Cho, Y. Y., Sohn, S. Y., Hur, K. Y., Lee, M. ‐., et al. (2014) · Diabetic Medicine · doi:10.1111/dme.12607 · Cited by 36
Self-treatment of hypoglycemia while driving
Cox, D. J., Gonder-Frederick, L. A., Kovatchev, B. P., & Clarke, W. L. (2001) · Diabetes Research and Clinical Practice · doi:10.1016/s0168-8227(01)00274-1 · Cited by 33
Self-citationMurata, G. H., Duckworth, W. C., Shah, J. H., Wendel, C. S., & Hoffman, R. M. (2004) · Clinical Endocrinology · doi:10.1111/j.1365-2265.2004.02001.x · Cited by 33
Kovatchev, B. P. (2012) · Scientifica · doi:10.6064/2012/283821 · Cited by 34
Self-citationCurrent concepts and clinical importance of glycemic variability
Ravi, R., Balasubramaniam, V., Kuppusamy, G., & Ponnusankar, S. (2021) · Diabetes & Metabolic Syndrome Clinical Research & Reviews · doi:10.1016/j.dsx.2021.03.004 · Cited by 37
Senior, P. A., Bellin, M. D., Alejandro, R., Yankey, J. W., Clarke, W. R., Qidwai, J. C., Schwieger, T., Eggerman, T. L., Robien, M. A., & Rickels, M. R. (2015) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2014.0289 · Cited by 33
Self-citationMemory Matters: Developmental Differences in Predictors of Diabetes Care Behaviors
Soutor, S. A. (2004) · Journal of Pediatric Psychology · doi:10.1093/jpepsy/jsh052 · Cited by 31
Blood Glucose Awareness Training
Gonder-Frederick, L. A., Cox, D. J., Clarke, W. L., & Julian, D. M. (2000) · doi:10.1002/0470846569.ch7 · Cited by 31
Self-citationRole of Self-Monitoring of Blood Glucose in Glycemic Control
Karter, A. J. (2006) · Endocrine Practice · doi:10.4158/ep.12.s1.110 · Cited by 30
Bergenstal, R. M., Rosenstock, J., Bastyr, E. J., PRINCE, M. J., Qu, Y., & Jacober, S. J. (2013) · Diabetes Care · doi:10.2337/dc12-2621 · Cited by 29
Bastyr, E. J., Huang, Y., Brunelle, R. L., Vignati, L., Cox, D. J., & Kotsanos, J. G. (2000) · Diabetes Obesity and Metabolism · doi:10.1046/j.1463-1326.2000.00066.x · Cited by 27
Self-citationBragd, J., Adamson, U., Lins, P. E., Wredling, R., & Oskarsson, P. (2003) · Diabetic Medicine · doi:10.1046/j.1464-5491.2003.00902.x · Cited by 27
Frequency, Causes and Risk Factors for Hypoglycaemia in Type 1 Diabetes
Strachan, M. W. J. (2013) · Wiley eBooks · doi:10.1002/9781118695432.ch4 · Cited by 26
Kim, T. J., Lee, J. S., Park, S.-H., & Ko, S. (2021) · Translational Stroke Research · doi:10.1007/s12975-021-00895-4 · Cited by 25
La variabilité glycémique asymptomatique: comment l'évaluer et quelle est son incidence clinique ?
Guerci, B. (2003) · Diabetes & Metabolism · doi:10.1016/s1262-3636(07)70027-7 · Cited by 25
Vigorous Intervals and Hypoglycemia in Type 1 Diabetes: A Randomized Cross Over Trial
Rempel, M., Yardley, J. E., MacIntosh, A., Hay, J. L., B̀ouchard, D. R., Cornish, S. M., Marks, S. D., Hai, Y., Gordon, J. W., & McGavock, J. (2018) · Scientific Reports · doi:10.1038/s41598-018-34342-6 · Cited by 24
Clarke, W. L., Cox, D. J., Gonder-Frederick, L. A., Julian, D. M., Schlundt, D. G., & Polonsky, W. H. (1997) · The Science of Diabetes Self-Management and Care · doi:10.1177/014572179702300107 · Cited by 24
Self-citationUtilizing continuous glucose monitoring in primary care practice: What the numbers mean
Edelman, S. V., Cavaiola, T. S., BOEDER, S. C., & Pettus, J. (2020) · Primary care diabetes · doi:10.1016/j.pcd.2020.10.013 · Cited by 25
Crenier, L., Abou-Elias, C., & Corvilain, B. (2013) · Diabetes Care · doi:10.2337/dc12-2058 · Cited by 23
Optimal regulation of blood glucose level in Type I diabetes using insulin and glucagon
Shirin, A., Rossa, F. D., Klickstein, I. S., Russell, J. J., & Sorrentino, F. (2019) · PLoS ONE · doi:10.1371/journal.pone.0213665 · Cited by 24
Mario, C. D., Genovese, S., Lanza, G. A., Mannucci, E., Marenzi, G., Sciatti, E., Pitocco, D., the Expert Panel Group, Avogaro, A., Bertuzzi, F., et al. (2022) · Cardiovascular Diabetology · doi:10.1186/s12933-022-01598-2 · Cited by 24
Urakami, T., Yoshida, K., Kuwabara, R., Mine, Y., Aoki, M., Suzuki, J., & Morioka, I. (2020) · Endocrine Journal · doi:10.1507/endocrj.ej20-0193 · Cited by 22
Inzucchi, S. E., Umpierrez, G. E., DIGENIO, A. G., Zhou, R., & Kovatchev, B. P. (2015) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2014.12.020 · Cited by 20
Self-citationDeVries, J. H., Bailey, T. S., Bhargava, A., Gerety, G., Gumprecht, J., Heller, S. R., Lane, W. S., Wysham, C., Zinman, B., Bak, B. A., et al. (2018) · Diabetes Obesity and Metabolism · doi:10.1111/dom.13565 · Cited by 21
Klaprat, N. D., MacIntosh, A., & McGavock, J. (2019) · Frontiers in Endocrinology · doi:10.3389/fendo.2019.00042 · Cited by 19
van Dijk, P. R., Groenier, K. H., DeVries, J. H., Gans, R. O. B., Kleefstra, N., Bilo, H. J. G., & Logtenberg, S. J. J. (2015) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2015.0001 · Cited by 19
Poor Agreement of Computerized Calculators for Mean Amplitude of Glycemic Excursions
Sechterberger, M. K., Luijf, Y. M., & DeVries, J. H. (2013) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2013.0138 · Cited by 19
Diabetes teaching program improves glycemic control and preserves perception of hypoglycemia
Fritsche, A., Stümvoll, M., Renn, W., & Schmülling, R.-M. (1998) · Diabetes Research and Clinical Practice · doi:10.1016/s0168-8227(98)00047-3 · Cited by 19
Iwasaki, S., Kozawa, J., Fukui, K., Iwahashi, H., Imagawa, A., & Shimomura, I. (2015) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2015.05.021 · Cited by 17
Riveline, J., Wojtusciszyn, A., Guerci, B., Alves, C., Kao, K., Xu, Y., & Dunn, T. C. (2022) · Diabetes Obesity and Metabolism · doi:10.1111/dom.14795 · Cited by 16
Kovatchev, B. P., Cox, D. J., Straume, M., & Farhy, L. S. (2000) · Methods in enzymology on CD-ROM/Methods in enzymology · doi:10.1016/s0076-6879(00)21205-6 · Cited by 16
Self-citationAlbisser, A. M., Wright, C. E., & Sakkal, S. (2006) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2006.09.007 · Cited by 16
Characteristics of glycemic control in young children with type 1 diabetes
KAUFMAN, F. R., Austin, J., Lloyd, J., Halvorson, M., Carpenter, S., & Pitukcheewanont, P. (2002) · Pediatric Diabetes · doi:10.1034/j.1399-5448.2002.30402.x · Cited by 15
Self-Management of Childhood Diabetes in Family Context
Wysocki, T., & Greco, P. (1997) · Springer eBooks · doi:10.1007/978-1-4899-1760-7_9 · Cited by 14
Martens, T. W., Bergenstal, R. M., Pearson, T. L., Carlson, A. L., Scheiner, G., Carlos, C., Liao, B., Syring, K. E., & Pollom, R. D. (2020) · Postgraduate Medicine · doi:10.1080/00325481.2020.1851946 · Cited by 13
Avaliação de dois esquemas de monitorização domiciliar em pacientes com diabetes mellitus do tipo 1
Grossi, S. A. A., Cianciarullo, T. I., & Manna, T. D. (2002) · Revista da Escola de Enfermagem da USP · doi:10.1590/s0080-62342002000400004 · Cited by 13
Tschöpe, D., Bramlage, P., Schneider, S., & Gitt, A. K. (2016) · Diabetes and Vascular Disease Research · doi:10.1177/1479164115610470 · Cited by 12
Differential correlation between time in range and eGFR or albuminuria in type 2 diabetes
Jin, X., Yang, X., Xu, Y., Liang, J., Liu, C., Guo, Q., Wang, W., Feng, Z., Yuan, Y., Zhou, H., et al. (2023) · Diabetology & Metabolic Syndrome · doi:10.1186/s13098-023-01071-4 · Cited by 14
Blevins, T., Lane, W. S., Rodbard, D., Sindelar, D. K., Fan, L., Ellinor, K., Ilag, L. L., Ly, T. T., & Johnson, J. L. (2020) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2020.0030 · Cited by 12
Iuchi, H., Sakamoto, M., Matsutani, D., Suzuki, H., Horiuchi, R., & Utsunomiya, K. (2017) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2017.0028 · Cited by 11
Hypoglycemia Among Type 1 Diabetes Patients After Insulin Use in Southwest Ethiopia
Yosef, T. (2021) · Frontiers in Endocrinology · doi:10.3389/fendo.2021.684570 · Cited by 11
van Beers, C. A. J., Caris, M. G., DeVries, J. H., & Serné, E. H. (2018) · Journal of Diabetes and its Complications · doi:10.1016/j.jdiacomp.2017.09.005 · Cited by 11
Gauthier, P., Desir, C., Plombas, M., Joffray, E., Benhamou, P., & Borel, A. (2023) · Journal of Sleep Research · doi:10.1111/jsr.13799 · Cited by 10
Messaaoui, A., Tenoutasse, S., Hajselova, L., & Crenier, L. (2022) · Diabetes Therapy · doi:10.1007/s13300-022-01297-x · Cited by 9
Randazzese, S. F., Bombaci, B., Costantino, S., Giorgianni, Y., Lombardo, F., & Salzano, G. (2024) · Children · doi:10.3390/children11020210 · Cited by 10
Predictors of Parental Interest in Continuous Glucose Monitoring for Children with Type 1 Diabetes
Kashmer, L., Clarke, W., Gurka, M. J., Elchuri, S. V., Nyer, M., & Gonder-Frederick, L. A. (2009) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2008.0100 · Cited by 9
Self-citationAssessment of glycemic lability and severity of hypoglycemia in Korean patients with type 1 diabetes
Kim, S. Y., Kwon, S. B., Yoon, K., Ahn, K. J., Kang, J. G., Jung, H. S., Kang, E. S., Kim, J. H., & Kim, K. (2011) · Endocrine Journal · doi:10.1507/endocrj.k11e-014 · Cited by 9
Self-Monitoring of Blood Glucose in Diabetes Mellitus
Nauck, M. A., El-Ouaghlidi, A., & Vardarli, I. (2009) · Deutsches Ärzteblatt international · doi:10.3238/arztebl.2009.0587 · Cited by 11
Bombaci, B., Passanisi, S., Lombardo, F., & Salzano, G. (2024) · Translational Pediatrics · doi:10.21037/tp-24-114 · Cited by 11
Association of glycemic variability and time in range with lipid profile in type 1 diabetes
Castelo, M. I. S., Neves, C., Neves, J. S., & Carvalho, D. M. (2023) · Endocrine · doi:10.1007/s12020-023-03464-x · Cited by 7
The phenomenon of HbA1c stability and the risk of hypoglycemia in long-standing type 1 diabetes
Wolnik, B., Orłowska-Kunikowska, E., Błaszkowska, M., Graff, B., Wolf, J., Czupryniak, L., & Narkiewicz, K. (2019) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2019.05.010 · Cited by 7
Effective Utilization of Self-Monitored Blood Glucose Data: Cognitive and Behavioral Prerequisites
Wysocki, T. (2000) · Springer eBooks · doi:10.1007/978-1-4612-1230-0_15 · Cited by 7
Metadata
- Authors
- Cox, D. J., Kovatchev, B. P., Julian, D. M., Gonder-Frederick, L. A., Polonsky, W. H., Schlundt, D. G., & Clarke, W. L.
- Affiliations
- University of Virginia (US)
- Venue
- The Journal of Clinical Endocrinology & Metabolism
- Publisher
- The Endocrine Society
- Published
- 1994-12
- Volume
- 79
- Issue
- 6
- Pages
- 1659-1662
- ISSN
- 0021-972X (ISSN-L)
- 1945-7197
- OpenAlex
- W2101481281
- Cited by
- 137
- References
- 12
- Citations by year
- 2024: 3 · 2023: 4 · 2022: 10 · 2021: 5 · 2020: 7 · 2019: 8 · 2018: 10 · 2017: 7 · 2016: 3 · 2015: 11 · 2014: 6 · 2013: 6 · 2012: 4
- FWCI
- 1.17
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The Journal of Clinical Endocrinology & Metabolism (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (5r01dk028288-27)
- National Institute of Diabetes and Digestive and Kidney Diseases (R01 DK28288)
- National Center for Research Resources (M01RR000847, M01-RR 00847)
- NIH Clinical Center
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
- Keywords
- severe hypoglycemia, type 1 diabetes, self-monitoring of blood glucose, blood glucose variability, HbA1c, glycemic control, hypoglycemia risk prediction
- MeSH terms
- Adult, Blood Glucose, Diabetes Mellitus, Type 1, Female, Glycated Hemoglobin, Humans, Hypoglycemia, Male, Regression Analysis, Risk Factors, Blood Glucose Self-Monitoring
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