Efficacy of Insulclock in Patients with Poorly Controlled Type 1 Diabetes Mellitus: A Pilot, Randomized Clinical Trial
Open accessAbstract
Insulclock ® is an electronic device designed to improve treatment adherence and insulin injection tracking. This randomized, single-center, pilot study assessed the clinical impact of Insulclock on glycemic control and variability, treatment adherence, and satisfaction in patients with uncontrolled type 1 diabetes mellitus (T1DM). We also compared these outcomes between the Active and Masked groups (with or without receiving reminders and app alerts). Sixteen patients completed the study: 10 in the Active group and 6 in the Masked group. Insulclock use was associated with a decrease in mean glucose (−27.0 mg/dL [1.5 mmol/L]; P = 0.013), glucose standard deviation (−14.4 mg/dL [0.8 mmol/L]; P = 0.003), and time above range (−12.5%; P = 0.0026), and an increase in time in range (TIR) (+7%; P = 0.038) in the overall population. The use of app information and alerts in the Active group was associated with an increase in TIR (+8%; P = 0.026). We observed a −3.9 ( P = 0.1352) and −5.4 ( P = 0.032) reduction per month in the number of missed and mistimed insulin doses in the overall population, respectively. Most of the items of the Insulin Treatment Satisfaction Questionnaire (ITSQ) improved after 4 weeks of Insulclock use. This pilot study points out an improvement in glycemic levels, adherence, and satisfaction in T1DM patients, supporting the development of clinical trials powered to confirm these effects.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
A recent pilot study using this device reported improvement in glycemic control, reduction in glycemic variability, and improved adherence and satisfaction in patients with type 1 diabetes.
“A recent pilot study using this device reported improvement in glycemic control, reduction in glycemic variability, and improved adherence and satisfaction in patients with type 1 diabetes. 20”
From Efficacy of a Smart Insulin Pen Cap for the Management of Patients with Uncontrolled Type 2 Diabetes: A Randomized Cross-Over Trial (2023) · cites this paper as [20]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
(1993) · New England Journal of Medicine · doi:10.1056/nejm199309303291401 · Cited by 24,667 · see citing works
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 4,032 · cited 2× · see citing works
“Glycemic variability indices were monitored according to international recommendations 13,14 with the FreeStyle Libre Pro and included glucose standard deviation (SD), time in range (TIR), time above range (TAR), and time below range (TBR).”
A systematic review of adherence with medications for diabetes
Cramer, J. A. (2004) · Diabetes Care · doi:10.2337/diacare.27.5.1218 · Cited by 1,203 · see citing works
Hou, C., Carter, B., Hewitt, J., Francisa, T., & Mayor, S. (2016) · Diabetes Care · doi:10.2337/dc16-0346 · Cited by 411 · see citing works
Toward Defining the Threshold Between Low and High Glucose Variability in Diabetes
Monnier, L., Colette, C., Wojtusciszyn, A., Dejager, S., Renard, E., Molinari, N., & Owens, D. R. (2017) · Diabetes Care · doi:10.2337/dc16-1769 · Cited by 390 · see citing works
Burdick, J., Chase, H. P., Slover, R. H., Knievel, K., Scrimgeour, L., Maniatis, A. K., & Klingensmith, G. J. (2004) · Pediatrics · doi:10.1542/peds.113.3.e221 · Cited by 227 · see citing works
Basatneh, R., Najafi, B., & Armstrong, D. G. (2018) · Journal of Diabetes Science and Technology · doi:10.1177/1932296818768618 · Cited by 196 · see citing works
Wright, L. A.-C., & Hirsch, I. B. (2017) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2017.0029 · Cited by 181 · see citing works
Telecare for Patients With Type 1 Diabetes and Inadequate Glycemic Control
Montori, V. M., Helgemoe, P. K., Guyatt, G. H., Dean, D. S., Leung, T. W., Smith, S. A., & Kudva, Y. C. (2004) · Diabetes Care · doi:10.2337/diacare.27.5.1088 · Cited by 169 · see citing works
Martyn-Nemeth, P. A., Farabi, S. S., Mihailescu, D. V., Nemeth, J., & Quinn, L. (2015) · Journal of Diabetes and its Complications · doi:10.1016/j.jdiacomp.2015.09.003 · Cited by 168 · see citing works
Adolfsson, P., Hartvig, N. V., Kaas, A., Møller, J. B., & Hellman, J. (2020) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2019.0411 · Cited by 139 · see citing works
Modem Transmission of Glucose Values Reduces the Costs and Need for Clinic Visits
Chase, H. P., Pearson, J., Wightman, C., Roberts, M. D., Oderberg, A. D., & Garg, S. K. (2003) · Diabetes Care · doi:10.2337/diacare.26.5.1475 · Cited by 131 · see citing works
Performance of the First Combined Smartwatch and Smartphone Diabetes Diary Application Study
Årsand, E., Mužný, M., Bradway, M., Mužík, J., & Hartvigsen, G. (2015) · Journal of Diabetes Science and Technology · doi:10.1177/1932296814567708 · Cited by 130 · see citing works
Development and validation of the insulin treatment satisfaction questionnaire
Anderson, R. T., Skovlund, S. E., Marrero, D. G., Levine, D. W., Meadows, K., Brod, M. I., & Balkrishnan, R. (2004) · Clinical Therapeutics · doi:10.1016/s0149-2918(04)90059-8 · Cited by 129 · see citing works
Hou, C., Xu, Q., Diao, S., Hewitt, J., Li, J., & Carter, B. (2018) · Diabetes, Obesity and Metabolism · doi:10.1111/dom.13307 · Cited by 127 · see citing works
Optimizing insulin injection technique and its effect on blood glucose control
Grassi, G., Scuntero, P., Trepiccioni, R., Marubbi, F., & Strauss, K. W. (2014) · Journal of Clinical & Translational Endocrinology · doi:10.1016/j.jcte.2014.07.006 · Cited by 116 · see citing works
Adu, M. D., Malabu, U. H., Malau‐Aduli, A. E. O., & Malau‐Aduli, B. S. (2018) · PLoS ONE · doi:10.1371/journal.pone.0208942 · Cited by 76 · see citing works
Wu, X., Kee, J. C. Y., Threapleton, D. E., Ma, R. C. W., Lam, V., Lee, E. K. P., Wong, S. Y. S., & Chung, V. C. (2018) · Obesity Reviews · doi:10.1111/obr.12669 · Cited by 73 · see citing works
Harvey, R. A., Dassau, E., Zisser, H., Seborg, D. E., & Doyle, F. J. (2014) · Journal of Diabetes Science and Technology · doi:10.1177/1932296814523881 · Cited by 68 · see citing works
Taira, D. A., Tan, C., Davis, J. W., & Mau, M. L. M. (2013) · Journal of Pharmaceutical Health Services Research · doi:10.1111/jphs.12016 · Cited by 48 · see citing works
<i>Insulclock</i> : A Novel Insulin Delivery Optimization and Tracking System
Gomez-Peralta, F., Abreu, C., Gomez-Rodriguez, S., & Ruiz, L. (2019) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2018.0361 · Cited by 30 · see citing works
Self-citationYaron, M., Sher, B., Sorek, D., Shomer, M., Levek, N., Schiller, T., Gaspar, M., Frumkin Ben-David, R., Mazor-Aronovitch, K., Tish, E., et al. (2019) · Acta Diabetologica · doi:10.1007/s00592-019-01300-1 · Cited by 29 · see citing works
126-LB: Improved Insulin Adherence after Introduction of a Smart Connected Insulin Pen
Adolfsson, P., HARTVIG, N. V., Kaas, A., Knudsen, N., MÅRDBY, A.-C. M., Møller, J. B., & Hellman, J. (2019) · Diabetes · doi:10.2337/db19-126-lb · Cited by 6 · see citing works
Peralta, F. G., Torre, E. L. M., Barreiro, S. C., et al. (2019) · Diabetes · doi:10.2337/db19-2459-pub · Cited by 1 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Blonde, L., Umpierrez, G. E., Reddy, S. S., McGill, J. B., Berga, S. L., Bush, M., Chandrasekaran, S., DeFronzo, R. A., Einhorn, D., Galindo, R. J., et al. (2022) · Endocrine Practice · doi:10.1016/j.eprac.2022.08.002 · Cited by 507 · see citing works
7. Diabetes Technology: <i>Standards of Medical Care in Diabetes—2022</i>
American Diabetes Association Professional Practice Committee (2022) · Diabetes Care · doi:10.2337/dc22-s007 · Cited by 358 · see citing works
7. Diabetes Technology: <i>Standards of Medical Care in Diabetes—2021</i>
American Diabetes Association (2021) · Diabetes Care · doi:10.2337/dc21-s007 · Cited by 202 · see citing works
Galindo, R. J., Ramos, C., Cardona, S., Vellanki, P., Davis, G. M., Oladejo, O., Albury, B., Dhruv, N., Peng, L., & Umpierrez, G. E. (2023) · Journal of Diabetes Science and Technology · doi:10.1177/19322968211033837 · Cited by 40 · see citing works
Gomez-Peralta, F., Abreu, C., Fernández-Rubio, E., Cotovad, L., Pujante, P., Gaztambide, S., Bellido, D., Menéndez Torre, E., Ruiz-Valdepeñas, S., Bello, H., et al. (2023) · Diabetes Care · doi:10.2337/dc22-0525 · Cited by 36 · see citing works
Self-citationCranston, I., Jamdade, V., Liao, B., & Newson, R. S. (2023) · Advances in Therapy · doi:10.1007/s12325-023-02478-1 · Cited by 37 · see citing works
Seo, J., Heidenreich, S., Aldalooj, E., Poon, J. L., Spaepen, E., Eby, E. L., & Newson, R. S. (2023) · The Patient - Patient-Centered Outcomes Research · doi:10.1007/s40271-022-00610-x · Cited by 19 · see citing works
- Authors
- Gomez-Peralta, F., Abreu, C., Gomez-Rodriguez, S., Cruz-Bravo, M., María-Sanchez, C., Poza, G., & Ruiz-Valdepeñas, L.
- Affiliations
- Endocrinology and Nutrition Unit, Segovia General Hospital, Segovia, Spain.
- Hospital General De Segovia (ES)
- Research and Development Unit, Insulcloud S.L. (B87131454), Madrid, Spain.
- ORCID
- Abreu, Cristina
- Venue
- Diabetes Technology & Therapeutics
- Publisher
- SAGE Publications
- Published
- 2020-09
- Volume
- 22
- Issue
- 9
- Pages
- 686-690
- ISSN
- 1520-9156 (ISSN-L)
- 1557-8593
- PMC
- PMC7640744
- OpenAlex
- W3008655620
- Cited by
- 25
- References
- 24
- Citations by year
- 2026: 3 · 2025: 2 · 2024: 3 · 2023: 6 · 2022: 6 · 2021: 4 · 2020: 1
- FWCI
- 3.21
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Diabetes Technology & Therapeutics (publishedVersion)
- PubMed Central (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 › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Keywords
- type 1 diabetes, uncontrolled diabetes, medication adherence, glycemic control, glycemic variability, time in range, time above range
- MeSH terms
- Blood Glucose, Diabetes Mellitus, Type 1, Humans, Hypoglycemic Agents, Insulin, Male, Pilot Projects, Medication Adherence, Mobile Applications
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