Evidence map›Paper›PMID 33764306›Full record

ArticleJournal of medical Internet research2021

Evaluating Glycemic Control in Patients of South Asian Origin With Type 2 Diabetes Using a Digital Therapeutic Platform: Analysis of Real-World Data.

Arjun Krishnakumar, Ritika Verma, Rajeev Chawla, Aravind Sosale, Banshi Saboo, Shilpa Joshi, Maaz Shaikh, Abhishek Shah, Siddhesh Kolwankar, Vinod Mattoo

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 4 pooled it
5.1field-weighted citation impact, top 4% of its field
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

32 citing papers in PubMed, 4 syntheses or guidelines pooled it, 54 citations in OpenAlex.

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  14. Evaluating the Impact of mySugrDiabetes therapy : research, treatment and education of diabetes and related disorders · 2025
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  17. 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

10 authors at 3 institutions in 1 country.

Arjun KrishnakumarWellthy Therapeutics Pvt Ltd, Mumbai, India.ORCID 0000-0001-9476-4404
Ritika VermaWellthy Therapeutics Pvt Ltd, Mumbai, India.ORCID 0000-0001-8113-8703
Rajeev ChawlaDepartment of Diabetology, North Delhi Diabetes Centre, New Delhi, India.ORCID 0000-0003-2744-5723
Aravind SosaleDepartment of Diabetology, Diacon Hospital, Bengaluru, India.ORCID 0000-0001-7631-8777
Banshi SabooDepartment of Diabetology, Dia Care-Diabetes Care and Hormone Clinic, Ahmedabad, India.ORCID 0000-0001-7293-8864
Shilpa JoshiWellthy Therapeutics Pvt Ltd, Mumbai, India.ORCID 0000-0003-3445-9357
Maaz ShaikhWellthy Therapeutics Pvt Ltd, Mumbai, India.ORCID 0000-0002-5466-5708
Abhishek ShahWellthy Therapeutics Pvt Ltd, Mumbai, India.ORCID 0000-0002-2370-8023
Siddhesh KolwankarWellthy Therapeutics Pvt Ltd, Mumbai, India.ORCID 0000-0002-0689-1516
Vinod MattooWellthy Therapeutics Pvt Ltd, Mumbai, India.ORCID 0000-0001-9008-046X
LifeForce Homoeopathy (India) · INDiabetes Care & Hormone Clinic · INDiacon Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigital therapeutics are evidence-based therapeutic interventions driven by high-quality software programs for the treatment, prevention, or management of a medical disorder or disease. Many studies in the western population have shown the effectiveness of mobile app-based digital therapeutics for improving glycemic control in patients with type 2 diabetes (T2D). However, few studies have assessed similar outcomes in the South Asian population.

objectiveThis study aims to investigate the real-world effectiveness of the Wellthy CARE digital therapeutic for improving glycemic control among the South Asian population of Indian origin.

methodsWe analyzed deidentified data from 102 patients with T2D from India enrolled in a 16-week structured self-management program delivered using the Wellthy CARE mobile app. Patients recorded their meals, weight, physical activity, and blood sugar in the app, and they received lessons on self-care behaviors (healthy eating, being active, monitoring, medication adherence, problem solving, healthy coping, and reducing risks); feedback provided by an artificial intelligence-powered chatbot; and periodic interactions with certified diabetes educators via voice calls and chats. The primary outcome of the program was a change in glycated hemoglobin A

resultsAt the end of 16 weeks, the average change in HbA

conclusionsThe use of the Wellthy CARE digital therapeutic for patients with T2D showed a significant reduction in the levels of HbA

Indexed as

Diabetes Mellitus, Type 2Mobile ApplicationsArtificial IntelligenceBlood GlucoseGlycated HemoglobinGlycemic ControlHumansBlood GlucoseGlycated Hemoglobinbehavior changediabetes self-managementdigital therapeuticslifestyle interventionmobile phonetype 2 diabetes

Identifiers

PMID33764306
PMCPMC8074838
OpenAlexW3125669931

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.