The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Reduction in Duration of Hypoglycemia by Automatic Suspension of Insulin Delivery: The In-Clinic ASPIRE Study
Abstract
Background The efficacy of automatic suspension of insulin delivery in induced hypoglycemia among subjects with type 1 diabetes was evaluated. Subjects and methods In this randomized crossover study, subjects used a sensor-augmented insulin pump system with a low glucose suspend (LGS) feature that automatically stops insulin delivery for 2 h following a sensor glucose (SG) value ≤70 mg/dL. Subjects fasted overnight and exercised until their plasma glucose (measured with the YSI 2300 STAT Plus™ glucose and lactate analyzer [YSI Life Sciences, Yellow Springs, OH]) value reached ≤85 mg/dL on different occasions separated by washout periods lasting 3-10 days. Exercise sessions were done with the LGS feature turned on (LGS-On) or with continued insulin delivery regardless of SG value (LGS-Off). The order of LGS-On and LGS-Off sessions was randomly assigned. YSI glucose data were used to compare the duration and severity of hypoglycemia from successful LGS-On and LGS-Off sessions and to estimate the risk of rebound hyperglycemia after pump suspension. Results Fifty subjects attempted 134 sessions, 98 of which were successful. The mean±SD hypoglycemia duration was less during LGS-On than during LGS-Off sessions (138.5±76.68 vs. 170.7±75.91 min, P=0.006). During LGS-On compared with LGS-Off sessions, mean nadir YSI glucose was higher (59.5±5.72 vs. 57.6±5.69 mg/dL, P=0.015), as was mean end-observation YSI glucose (91.4±41.84 vs. 66.2±13.48 mg/dL, P 250 mg/dL. Conclusions Automatic s…
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
“when comparing the safety and efficacy of overnight closed-loop delivery of insulin with conventional insulin-pump therapy in adults with type 1 diabetes, closed-loop delivery improved overnight control of glycaemia and reduced the risk of nocturnal hypoglycaemia.98,99”
From Type 1 diabetes (2014) · cites this paper as [98]
Citations
Cites
(1993) · New England Journal of Medicine · doi:10.1056/nejm199309303291401 · Cited by 24,667
Mechanisms of Hypoglycemia-Associated Autonomic Failure and Its Component Syndromes in Diabetes
Cryer, P. E. (2005) · Diabetes · doi:10.2337/diabetes.54.12.3592 · Cited by 406
Insulin Pump Therapy With Automated Insulin Suspension in Response to Hypoglycemia
Choudhary, P., Shin, J., Wang, Y., Evans, M. L., Hammond, P. J., Kerr, D., Shaw, J. A. M., Pickup, J. C., & Amiel, S. A. (2011) · Diabetes Care · doi:10.2337/dc10-2411 · Cited by 175
Self-citationPrevention of Hypoglycemia by Using Low Glucose Suspend Function in Sensor-Augmented Pump Therapy
Danne, T., Kordonouri, O., Holder, M., Haberland, H., Golembowski, S., Remus, K., Bläsig, S., Wadien, T., Zierow, S., Hartmann, R., et al. (2011) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2011.0084 · Cited by 150
Duration of Nocturnal Hypoglycemia Before Seizures
Buckingham, B. A., Wilson, D. M., Lecher, T., Hanås, R., Kaiserman, K. B., & Cameron, F. J. (2008) · Diabetes Care · doi:10.2337/dc08-0863 · Cited by 111
Self-citationAgrawal, P. K., Welsh, J. B., Kannard, B., Askari, S., Yang, Q., & KAUFMAN, F. R. (2011) · Journal of Diabetes Science and Technology · doi:10.1177/193229681100500514 · Cited by 86
Self-citationLy, T. T., Hewitt, J., Davey, R. J., Lim, E. M., Davis, E. A., & Jones, T. W. (2011) · Diabetes Care · doi:10.2337/dc10-1042 · Cited by 81
Hypoglycemia Begets Hypoglycemia in IDDM
Cryer, P. E. (1993) · Diabetes · doi:10.2337/diab.42.12.1691 · Cited by 68
Brazg, R., Bailey, T. S., Garg, S. K., Buckingham, B. A., Slover, R. H., Klonoff, D. C., Nguyen, X., Shin, J., Welsh, J. B., & Lee, S. W. (2011) · Journal of Diabetes Science and Technology · doi:10.1177/193229681100500621 · Cited by 28
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Items 101–138 of 138
Automated Adaptation of Insulin Treatment in Type 1 Diabetes
Fabris, C., Gautier, T., & Breton, M. D. (2021) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc46164.2021.9630191 · Cited by 4
Upcoming Devices for Diabetes Management: The Artificial Pancreas as the Hallmark Device
Lee, S. W., & Welsh, J. B. (2015) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2014.0303 · Cited by 4
Self-citationOverview of Currently Available Insulin Delivery Systems
Fried, H. (2024) · Contemporary Endocrinology · doi:10.1007/978-3-031-75352-7_2 · Cited by 3
Moreno-Fernández, J., Beato-Víbora, P. I., Olvera, P., García-Seco, J. A., Gallego-Gamero, F., Herrera, M. T., & Muñoz‐Rodríguez, J. R. (2021) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2021.109093 · Cited by 3
Cycling for people with type 1 diabetes
GALLEN, I. W. (2013) · Practical Diabetes · doi:10.1002/pdi.1791 · Cited by 3
Neue Technologien in der Diabetologie
Freckmann, G. (2015) · Der Internist · doi:10.1007/s00108-014-3627-2 · Cited by 3
Low Glucose Suspend: Ready for Prime Time?
Hirsch, I. B. (2012) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2012.0036 · Cited by 3
Hoey, H., Mlinac, A., Tran, C.-T., & Schlaeger, C. (2012) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2012.0230 · Cited by 3
Alzaid, A., Schlaeger, C., & Hinzmann, R. (2013) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2013.0260 · Cited by 3
Europe, D. I. A. C. O. R. P. I., costly, W. T. I. N. O., Thus, B. A. V. L., & diabetes., I. C. M. P. T. E. P. H. I. T. E. O. L. R. I. H. –. B. I. T. O. W. A. B. –. T. I. A. U. N. T. R. A. T. D. T. T. M. B. P. W. E. O. N. E. T. T. B. P. A. T. O. (2014) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2014.1515 · Cited by 4
Gargallo-Fernández, M., Martín, J. E. S., Peralta, F. G., Moreno, P. R., Martínez, A. M., Botella-Serrano, M., Pérez, C. T., & Fernández, J. L. (2015) · Endocrinología y Nutrición (English Edition) · doi:10.1016/j.endien.2017.10.009 · Cited by 2
Making Progress Toward Closed-Loop Insulin Pump Technology for Patients With Diabetes Mellitus
Garg, S. K., & Tamborlane, W. V. (2012) · Endocrine Practice · doi:10.4158/ep12252.or · Cited by 2
Self-citationS2e-Leitlinie Diabetes und Straßenverkehr
(DDG), D. D. G., Ebert, O., Bohn, B., Bertram, B., Buchberger, B., Finck, H., Hoß, J., Hubner, P. J. B., Krabbe, L. M., Kulzer, B., et al. (2018) · Diabetologie und Stoffwechsel · doi:10.1055/s-0043-124953 · Cited by 2
Sieradzki, J., Cyganek, K., Cypryk, K., Wender-Ożegowska, E., Skoczylas, K., Runzis, S., & Shin, J. H. (2018) · Clinical Diabetology · doi:10.5603/dk.2018.0009 · Cited by 2
Self-citationChow, E., & Heller, S. R. (2013) · Springer eBooks · doi:10.1007/978-1-4614-8684-8_34 · Cited by 2
Classification and prediction of hypoglycemia in diabetic patients using machine learning techniques
Shastri, S., & Sandhya, P. (2022) · International Journal of Health Sciences · doi:10.53730/ijhs.v6ns4.10741 · Cited by 2
Villa-Tamayo, M. F., Colmegna, P. H., & Breton, M. D. (2023) · Journal of Diabetes Science and Technology · doi:10.1177/19322968231212205 · Cited by 2
Auf dem Weg zum „Closed-loop“-System
Thomas, A., Heinemann, L., & Freckmann, G. (2014) · Der Diabetologe · doi:10.1007/s11428-013-1127-y · Cited by 1
Future Drug Treatments for Type 1 Diabetes
Sherr, J. L., Cengiz, E., Name, M. A. V., WEINZIMER, S. A., & Tamborlane, W. V. (2016) · Wiley eBooks · doi:10.1002/9781118924853.ch66 · Cited by 1
Exercise, physical activity, and diabetes mellitus
van Mil, E. (2017) · doi:10.1093/med/9780198757672.003.0023 · Cited by 1
Beshyah, S., & Deeb, A. (2012) · Ibnosina Journal of Medicine and Biomedical Sciences · doi:10.4103/1947-489x.210784
Exercise Management and Hypoglycaemia in Type 1 Diabetes
GALLEN, I. W., & Lumb, A. N. (2013) · doi:10.1002/9781118695432.ch17
Technologie ter optimalisatie van interventies en behandelresultaten bij kinderen met diabetes
Markowitza, J. T., Harringtona, K. R., & Laffel, L. M. (2014) · Nederlands Tijdschrift voor Diabetologie · doi:10.1007/s12467-014-0022-5
Predictive Low Glucose Suspend: An Option for Routine Outpatient Care
Danne, T., Kordonouri, O., & Thomas, A. (2014) · Frontiers in diabetes · doi:10.1159/000363511
Neue Technologien in der Diabetologie: Wie weit ist es noch bis zum Closed-loop-System?
Freckmann, G. (2015) · Der Internist
Prevention of Hypoglycemia Using the Predicted Low Glucose Suspend System
Chase, H. P. (2016) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2016.0119
Defective Counterregulation and Hypoglycemia Unawareness in
Reno, C. M., Litvin, M., Clark, A. L., & Fisher, S. J. (2013)
Glycaemic control in pregnancies complicated by type 1 diabetes
Stewart, Z. A. (2017) · Apollo (University of Cambridge) · doi:10.17863/cam.23269
Trence, D., & Hirsch, I. B. (2015) · Wiley eBooks · doi:10.1002/9781118387658.ch49
Strategies to mitigate hypoglycaemia in the artificial pancreas
Bondía, J., & Vehı́, J. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-815655-1.00018-1
Török, A., & Pál, P. (2019) · Diabetologia Hungarica · doi:10.24121/dh.2019.3
Extreme Sports and Type 1 Diabetes Mellitus in the Twenty-First Century: The Promise of Technology
Tordjman, K. M., & Hackney, A. C. (2020) · Contemporary Endocrinology · doi:10.1007/978-3-030-33376-8_26
Sharifi, A., McAuley, S. A., Horsburgh, J. C., Loh, M., Jenkins, A. J., MacIsaac, R. J., & O'Neal, D. N. (2014)
The dawn of automated insulin delivery: from promise to product
Nally, L. M., & Sherr, J. L. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-816714-4.00016-8
Chow, E., & Heller, S. R. (2022) · Springer eBooks · doi:10.1007/978-3-030-90684-9_35 · Cited by 1
D’Agostin, M., Tumminelli, C., Grigoletto, V., Tornese, G., Barbi, E., & Faleschini, E. (2022) · Medico e Bambino · doi:10.53126/meb41505 · Cited by 1
Eldar, O., Katzir, A., Bakal, L., Dori‐Dayan, N., Zemet, R., Mazaki‐Tovi, S., Cukierman‐Yaffe, T., Cohen, O., & Yoeli‐Ullman, R. (2023) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2023.111075
Advanced Technology in Diabetes: Sensors and Pumps
Forlenza, G. P. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-11985-9.00023-8
Metadata
- Authors
- Garg, S., Brazg, R. L., Bailey, T. S., Buckingham, B. A., Slover, R. H., Klonoff, D. C., Shin, J., Welsh, J. B., & Kaufman, F. R.
- Affiliations
- Barbara Davis Center for Childhood Diabetes, Aurora, Colorado.
- Rainier Clinical Research Center (US)
- AMCR Institute (US)
- Stanford Medicine (US)
- Mills Peninsula Health Services (US)
- Medtronic Inc., Northridge, California.
- Corresponding author
- Garg, Satish
- ORCID
- Venue
- Diabetes Technology & Therapeutics
- Publisher
- SAGE Publications
- Published
- 2012-03
- Volume
- 14
- Issue
- 3
- Pages
- 205-209
- ISSN
- 1520-9156 (ISSN-L)
- 1557-8593
- OpenAlex
- W1978849955
- Cited by
- 138
- References
- 9
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 4 · 2023: 4 · 2022: 5 · 2021: 7 · 2020: 6 · 2019: 10 · 2018: 8 · 2017: 11 · 2016: 16 · 2015: 17 · 2014: 16 · 2013: 21 · 2012: 10
- FWCI
- 16.43
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Diabetes Technology & Therapeutics (publishedVersion)
- PubMed (publishedVersion)
- 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
- type 1 diabetes, hypoglycemia, low glucose suspend, sensor-augmented pump, exercise-induced hypoglycemia, rebound hyperglycemia, hypoglycemia duration, hypoglycemia severity, continuous glucose monitoring
- MeSH terms
- Adolescent, Adult, Blood Glucose, Diabetes Mellitus, Type 1, Female, Humans, Hypoglycemia, Hypoglycemic Agents, Insulin, Insulin Infusion Systems, Male, Middle Aged, Treatment Outcome, Cross-Over Studies, Monitoring, Ambulatory, Young Adult
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
