Evidence map›Paper›PMID 30264583›Full record

Trial reportJournal of diabetes science and technology2019

The Influence of the Smart Glucose Manager Mobile Application on Diabetes Management.

Kasun C Gunawardena, Renee Jackson, Iva Robinett, Lahiru Dhaniska, Shaluka Jayamanne, Sumedha Kalpani, Dimuthu Muthukuda

Abstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Journal of diabetes science and technology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 12 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 12 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

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

Who cites it

29 citing papers in PubMed, 12 syntheses or guidelines pooled it.

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  19. Digital Health Technology in Diabetes Management in the Asia-Pacific Region: A Narrative Review of the Current Scenario and Future Outlook.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2025
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4 · The record

Corrections and comments

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

7 authors.

Kasun C Gunawardena1 Ocean Lakes High School, Math and Science Academy, Virginia Beach, VA, USA.
Renee Jackson1 Ocean Lakes High School, Math and Science Academy, Virginia Beach, VA, USA.
Iva Robinett2 Endocrinology Department, Sentara Medical Group, Norfolk, VA, USA.
Lahiru Dhaniska3 Informatics Institute of Technology, Colombo, Sri Lanka.
Shaluka Jayamanne4 Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka.
Sumedha Kalpani4 Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka.
Dimuthu Muthukuda5 Sri Jayawardenapura Hospital, Kotte, Sri Lanka.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSmartphone use is rapidly growing in developing countries, providing opportunity for development of new health-based mobile applications. The present study investigated the efficacy of a newly designed mobile application, Smart Glucose Manager (SGM), in Sri Lankan patients with diabetes.

methodsA total of 67 patients with access to Android smartphones were randomized into an SGM (n = 27) and a control group (n = 25). Glycosylated hemoglobin (A1c) levels were measured at baseline and every 3 months afterward. The SGM group utilized the application daily, while control-group patients were instructed to continue their standard methods of diabetes management. Independent t-tests were utilized to assess A1c differences at 3 and 6 months postrandomization. A1c improvement, defined as A1c at 6 months minus baseline, was compared with SGM usage to assess effectiveness of diabetic management.

resultsAt the 6-month follow up, the SGM group had significant lower A1c levels than the control group (7.2% vs 8.17%, P < .0001). For both groups, A1c values decreased from baseline to the 3 months (SGM: 9.52% to 8.16%, P < .0001; control: 9.44% to 8.31%, P < .0001). From 3 months to 6 months, the SGM group showed further improvement of A1c (-0.96% P < .0001), whereas the control group did not ( P = 0.19). A1c improvement was positively correlated with SGM usage ( R = .81, P < .001).

conclusionThe SGM, a mobile application specifically designed to support self-management of diabetes, appeared to show long-term improvement of A1c levels in patients with diabetes residing in Sri Lanka.

Indexed as

Mobile ApplicationsAdultAgedBlood GlucoseBlood Glucose Self-MonitoringDiabetes Mellitus, Type 2FemaleGlycated HemoglobinHumansHypoglycemic AgentsInsulinMaleMiddle AgedPatient ComplianceSmartphoneSri LankaBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanHypoglycemic AgentsInsulincompliancediabetesglycosylated Hemoglobin (A1c)health care appself-monitoring of blood glucoseSri Lanka

Identifiers

PMID30264583
PMCPMC6313277

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.