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
Items 101–137 of 137
Irace, C., Acmet, E., Cutruzzolà, A., Parise, M., Ponzani, P., Scarpitta, A. M., & Candido, R. (2023) · Endocrine · doi:10.1007/s12020-023-03605-2 · Cited by 6
Searching for glycemic control in pediatric type 1 diabetes: A long way to go
KAUFMAN, F. R. (2001) · The Journal of Pediatrics · doi:10.1067/mpd.2001.117573 · Cited by 6
Glycemic Variability: Clinical and Prognostic Significance
Lin, K. Y. H., Huang, K.-J., & Yang, C. (2015) · Diabetes Research - Open Journal · doi:10.17140/droj-1-108 · Cited by 5
Cho, K. Y., Nomoto, H., Nakamura, A., Kawata, S., Sugawara, H., Takeuchi, J., Nagai, S., Omori, K., Tsuchida, K., Miya, A., et al. (2021) · Journal of Diabetes Investigation · doi:10.1111/jdi.13498 · Cited by 5
Rationale and Goals for Glucose Control in Diabetes Mellitus and Glucose Monitoring
Cooppan, R. M. (2007) · CRC Press eBooks · doi:10.3109/9780849379581-4 · Cited by 7
Omeara, M., Acuña, J. C. M., & Uribe, A. (2023) · JMIR Diabetes · doi:10.2196/46880 · Cited by 4
Emergencies in Diabetic Patients in the Primary Care Setting
Wolfsthal, S. D., Manno, R., & Fontanilla, E. (2006) · Primary Care Clinics in Office Practice · doi:10.1016/j.pop.2006.06.008 · Cited by 4
Epidemiological Study on Hypoglycemia Endemic to Female Nurses and Other Workers.
Mogi, T., Wada, Y., Hirosawa, I., Sasaki, M., & Koizumi, A. (1996) · Industrial Health · doi:10.2486/indhealth.34.335 · Cited by 4
Mario, C. D., Genovese, S., Lanza, G. A., Mannucci, E., Marenzi, G., Sciatti, E., & Pitocco, D. (2022) · Research Square · doi:10.21203/rs.3.rs-1446808/v1 · Cited by 4
Definition and Clinical Significance of Continuous Glucose Monitoring Parameters
Mo, Y., & Jia, W. (2018) · Springer eBooks · doi:10.1007/978-981-10-7074-7_6 · Cited by 3
Predicting severe hypoglycaemia with self-monitoring of blood glucose in type 1 diabetes
Moutairou, A., Roussel, R., Charbonnel, B. H., Lèye, A., Detournay, B., Mohammedi, K., & Potier, L. (2017) · Diabetes & Metabolism · doi:10.1016/j.diabet.2016.11.009 · Cited by 3
Mariën, I., Block, C. E. M. D., Verrijken, A., Dessel, K. V., PEIFFER, F. W., Verhaegen, A. A., Hubens, G., Gaal, L. V., & Dirinck, E. L. (2020) · Diabetes Obesity and Metabolism · doi:10.1111/dom.14130 · Cited by 3
Sifri, S. A., Alshaikh, A., Bin-Abbas, B. S., Sheshah, E., Sabaan, F. S. A., Aldawish, M., Al-Dubayee, M., Alzaman, N. S., Aldahash, R., ALZAHRANI, S. H., et al. (2021) · International Journal of Clinical Medicine · doi:10.4236/ijcm.2021.128028 · Cited by 3
Ampudia‐Blasco, F. J., Ugarte, E., Chico, A. I., Garcı́a-Alemán, J., & Galan-Barroso, M. (2022) · Journal of Diabetes Science and Technology · doi:10.1177/19322968221087270 · Cited by 3
Wang, Y., Yan, Y., Lin, R., Liang, J., Wang, N., Chen, M., & Li, H. (2024) · Journal of Clinical Nursing · doi:10.1111/jocn.16993 · Cited by 2
Avaliação da frutosamina como parâmetro de controle glicêmico na gestante diabética
Feitosa, A. C. R., & Andrade, F. S. (2014) · Arquivos Brasileiros de Endocrinologia & Metabologia · doi:10.1590/0004-2730000002990 · Cited by 3
Glycemic Variability and Its Clinical Implications
Verma, N. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-812019-4.00021-0 · Cited by 2
Hipoglicemia em pacientes com diabetes mellitus do tipo 1
Grossi, S. A. A., Lottenberg, S. A., Lottenberg, A. M., Manna, T. D., & Kuperman, H. (2007) · Revista gaúcha de enfermagem · Cited by 1
Aurora, S., Grossi, A., Cianciarullo, T. I., & Manna, T. D. (2002) · Cited by 1
¿Qué podemos esperar del control de la variabilidad glucémica?
Gómez, M. D. (2014) · Avances en Diabetología · doi:10.1016/j.avdiab.2014.03.001 · Cited by 1
Dias, R. J., Poínhos, R., Noronha, M., & de Oliveira, R. D. V. C. (2022) · Acta Portuguesa de Nutrição · doi:10.21011/apn.2022.3005 · Cited by 1
Vincze, G., & Parthan, A. (2004) · Journal of Pharmacy Practice · doi:10.1177/0897190004264815 · Cited by 1
From Risk Prediction Models to Risk Assessment Service: A Formulation of Development ParadigmPreprint
Xia, E., Yu, Y., Xu, E., Mei, J., & Sun, W. X. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1903.07551 · Cited by 3
A normoglykaemia elérésének korlátai inzulinkezelt 2-es típusú cukorbetegekben
Ferencz, V., Domján, B. A., Gerő, L., Tänczer, T., & Tabák, Á. G. (2015) · Orvosi Hetilap · doi:10.1556/650.2015.30239
Insulin Therapy and Outpatient Diabetes Management
KAUFMAN, F. R. (2003) · Springer eBooks · doi:10.1007/978-1-4615-0507-5_11
Type 1 Diabetes Mellitus in the Very Young Child
Brink, S. J. (2007) · doi:10.1002/9780470692271.ch5
Clinical studies of glucose variability and hypoglycemia in adult patients with type 1 diabetes
Bragd, J. (2011) · Figshare
Predicting severe hypoglycemia in the community: a review of recent evidence
Davis, W. A. (2011) · Diabetes Management · doi:10.2217/dmt.10.8
An Innovative Approach for Predicting Severe Hypoglycemia
Siminerio, L. M. (2012) · Clinical Diabetes · doi:10.2337/diaclin.30.1.18
Perioperative Management of Diabetes
Expiration, C., & Spratt, S. E. (2015)
The role of gut hormones on food intake and carbohydrate tolerance
Tharakan, G. (2016) · Spiral (Imperial College London) · doi:10.25560/41846
Impact of continuous glucose monitoring with diabetic education on glycemic variability and HbA1c
Varughese, M., Mathew, R., Varghese, J., Chacko, C. A., & Augustine, D. V. (2020) · International Journal of Advances in Medicine · doi:10.18203/2349-3933.ijam20203038
Omeara, M., Acuña, J. C. M., & Uribe, A. (2022) · Research Square · doi:10.21203/rs.3.rs-1688540/v1
Omeara, M., Acuña, J. C. M., & Uribe, A. (2022) · Research Square · doi:10.21203/rs.3.rs-1688540/v2
Parental Memory Predictors of Children's Daily Diabetes Management and Metabolic Control
Kent, S. (2005) · VCU Scholars Compass (Virginia Commonwealth University) · doi:10.25772/14j2-zx42
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