Evidence map›Paper›PMID 39924297›Full record

ArticleJMIR formative research2025

Web-Based, Algorithm-Guided Insulin Titration in Insulin-Treated Type 2 Diabetes: Pre-Post Intervention Study.

Nishanth Thiagarajan, Hong Chang Tan, Suresh Rama Chandran, Phong Ching Lee, Yun Ann Chin, Wanling Zeng, Emily Tse Lin Ho, David Carmody, Su-Yen Goh, Yong Mong Bee

Abstract read
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Article in JMIR formative research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Nishanth ThiagarajanDepartment of Endocrinology, Singapore General Hospital, 20 College Road, Academia, Singapore, 169856, Singapore, 65 88900691.ORCID 0000-0003-0082-6163
Hong Chang TanDepartment of Endocrinology, Singapore General Hospital, 20 College Road, Academia, Singapore, 169856, Singapore, 65 88900691.ORCID 0000-0001-8753-7158
Suresh Rama ChandranDepartment of Endocrinology, Singapore General Hospital, 20 College Road, Academia, Singapore, 169856, Singapore, 65 88900691.ORCID 0000-0001-5944-4886
Phong Ching LeeDepartment of Endocrinology, Singapore General Hospital, 20 College Road, Academia, Singapore, 169856, Singapore, 65 88900691.ORCID 0000-0002-9446-2032
Yun Ann ChinDepartment of Endocrinology, Singapore General Hospital, 20 College Road, Academia, Singapore, 169856, Singapore, 65 88900691.ORCID 0000-0002-4311-2104
Wanling ZengDepartment of Endocrinology, Singapore General Hospital, 20 College Road, Academia, Singapore, 169856, Singapore, 65 88900691.ORCID 0000-0002-7964-1817
Emily Tse Lin HoDepartment of Endocrinology, Singapore General Hospital, 20 College Road, Academia, Singapore, 169856, Singapore, 65 88900691.ORCID 0009-0001-7578-0641
David CarmodyDepartment of Endocrinology, Singapore General Hospital, 20 College Road, Academia, Singapore, 169856, Singapore, 65 88900691.ORCID 0000-0002-8287-2560
Su-Yen GohDepartment of Endocrinology, Singapore General Hospital, 20 College Road, Academia, Singapore, 169856, Singapore, 65 88900691.ORCID 0000-0001-5044-7415
Yong Mong BeeDepartment of Endocrinology, Singapore General Hospital, 20 College Road, Academia, Singapore, 169856, Singapore, 65 88900691.ORCID 0000-0002-5482-2646

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Self-monitoring of blood glucose (SMBG) using web-based diabetes management platforms has demonstrated promise in managing type 2 diabetes (T2D). However, the effectiveness of such systems incorporating algorithm-guided insulin titration has not been extensively studied in Asian populations. Objective: This study evaluates the efficacy and safety of the ALRT telehealth solution-a US Food and Drug Administration-cleared, web-based platform that integrates SMBG with algorithm-driven insulin dose adjustments-in improving glycemia in insulin-treated T2D. Methods: This 24-week, pre-post intervention study enrolled 25 adults with T2D (mean age 58.9, SD 7.0 y; n=14, 56% male) on twice-daily premixed insulin. Inclusion criteria included a baseline hemoglobin A1c (HbA1c) level between 7.5% to 9.9% (58-86 mmol/mol), a BMI ≤40 kg/m², and experience with SMBG. Participants uploaded twice-daily SMBG data weekly via a mobile app, which generated insulin titration recommendations based on a predefined algorithm. Physicians reviewed and approved the recommendations, which were then communicated back to participants via the app. The primary outcome was the change in HbA1c level from baseline to 24 weeks. Secondary outcomes included changes in fasting plasma glucose, insulin dose, hypoglycemia incidence, and SMBG adherence. Results: Participants achieved significant reductions in HbA1c level from 8.6% (70 mmol/mol) at baseline to 7.4% (57 mmol/mol) at 24 weeks (P<.001), with reductions of 0.8% and 0.4% in the first and second 12 weeks, respectively. Fasting plasma glucose decreased from 8.7 (SD 2.0) mmol/L to 7.1 (SD 1.4) mmol/L (P<.001). Mean total daily insulin dose increased modestly from 0.73 (SD 0.31) units/kg/day to 0.79 (SD 0.34) units/kg/day (P=.007). Participants demonstrated high adherence, completing 97.3% (327/336) of prescribed SMBG measurements. During the study, 48% (12/25) of participants experienced at least 1 hypoglycemia episode, predominantly mild hypoglycemia (85/96, 88.5%; glucose 3.0-3.9 mmol/L). Hypoglycemia episodes increased from 24 during weeks 0-12 to 72 during weeks 13-24. There were no episodes of severe hypoglycemia requiring external assistance. BMI increased slightly from 29.0 (SD 3.6) kg/m² to 29.5 (SD 3.6) kg/m² (P=.03), reflecting a modest weight gain associated with improved glycemia. Conclusions: In conclusion, patients with insulin-treated T2D initiated on a web-based glucose monitoring system with algorithm-guided dosing recommendations showed significant improvement in glycemic control compared to baseline. High adherence rates underscore the feasibility of integrating algorithm-guided insulin titration into routine care. While hypoglycemia incidence rose slightly, episodes were predominantly mild, and no severe events occurred. This intervention shows promise for broader adoption in T2D management, particularly in resource-constrained settings.

Indexed as

AlgorithmsDiabetes Mellitus, Type 2Hypoglycemic AgentsInsulinAgedBlood GlucoseBlood Glucose Self-MonitoringFemaleGlycated HemoglobinHumansInternetMaleMiddle AgedTelemedicineBlood GlucoseGlycated HemoglobinHypoglycemic AgentsInsulinappdiabetesinsulininterventionmobilemonitoringtechnology

Identifiers

PMID39924297
PMCPMC11830485

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.