Trial reportDiabetologia2020
A pragmatic and scalable strategy using mobile technology to promote sustained lifestyle changes to prevent type 2 diabetes in India and the UK: a randomised controlled trial.
Trial report in Diabetologia, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 36 papers, 9 of them syntheses that pooled 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.
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.
A Pragmatic and Scalable Strategy Using Mobile Technology to Promote Sustained Lifestyle Changes to Prevent Type 2 Diabetes in India and the UK
A Pragmatic and Scaleable Strategy Using Mobile Technology to Promote Sustained Lifestyle Changes to Prevent Type 2 Diabetes in India and the UK
Who cites it
36 citing papers in PubMed, 9 syntheses or guidelines pooled it, 77 citations in OpenAlex.
- Effectiveness of Text Messaging Interventions on BMI Among Adults With Prediabetes: Systematic Review and Meta-Analysis.JMIR mHealth and uHealth · 2026Pooled it
- Digital Health Interventions to Prevent Type 2 Diabetes Mellitus: Systematic Review.Journal of medical Internet research · 2025Pooled it
- Primary Prevention of Type 2 Diabetes Mellitus in the European Union: A Systematic Review of Interventional Studies.Nutrients · 2025Pooled it
- Effectiveness of digital health interventions for telemedicine/telehealth for managing blood pressure in adults: a systematic review and meta-analysis.Hypertension research : official journal of the Japanese Society of Hypertension · 2025Pooled it
- Effectiveness of Different Intervention Modes in Lifestyle Intervention for the Prevention of Type 2 Diabetes and the Reversion to Normoglycemia in Adults With Prediabetes: Systematic Review and Meta-Analysis of Randomized Controlled Trials.Journal of medical Internet research · 2025Pooled it
- 2023 Clinical Practice Guidelines for Diabetes Management in Korea: Full Version Recommendation of the Korean Diabetes Association.Diabetes & metabolism journal · 2024Guideline
- The Use of Mobile Health Interventions for Outcomes among Middle-Aged and Elderly Patients with Prediabetes: A Systematic Review.International journal of environmental research and public health · 2022Pooled it
- Mobile Health Technology in the Primary Prevention of Type 2 Diabetes: a Systematic Review.Current diabetes reports · 2022Pooled it
- Pooled it
- Promoting Problem-Solving Among Low-Income Adults With Type 2 Diabetes: Cluster-Randomized Controlled Trial of a Mobile Health Intervention With SMS Text Messaging (Mobile Diabetes Detective).Journal of medical Internet research · 2026Trial
- Trial
- A Wearable Technology Delivering a Web-Based Diabetes Prevention Program to People at High Risk of Type 2 Diabetes: Randomized Controlled Trial.JMIR mHealth and uHealth · 2020Trial
- The Effect of Text Message-Based mHealth Interventions on Physical Activity and Weight Loss: A Systematic Review and Meta-Analysis.American journal of lifestyle medicine · 2026Review
- Digital Health Solutions for Type 2 Diabetes and Prediabetes: Systematic Review of Engagement Barriers, Facilitators, and Outcomes.JMIR diabetes · 2026Review
- Review
- Article
- Application of Behavioral Science in Digital Therapeutics for Individuals With Prediabetes: Scoping Review.Journal of medical Internet research · 2025Article
- 2025 Clinical Practice Guidelines for Diabetes Management in Korea: Recommendation of the Korean Diabetes Association.Diabetes & metabolism journal · 2025Article
- Accurate screening of patients with diabetes based on physical examination: pancreas imaging features from chest CT and laboratory data.Frontiers in endocrinology · 2025Article
- Advancing Type 2 Diabetes Prevention through Text-Messaging Interventions: A Narrative Review.Current diabetes reports · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
19 authors at 4 institutions in 3 countries.
Funding
Abstract
aims/hypothesisThis randomised controlled trial was performed in India and the UK in people with prediabetes to study whether mobile phone short message service (SMS) text messages can be used to motivate and educate people to follow lifestyle modifications, to prevent type 2 diabetes.
methodsThe study was performed in people with prediabetes (n = 2062; control: n = 1031; intervention: n = 1031) defined by HbA
resultsAt the 2 year follow-up (n = 2062; control: n = 1031; intervention: n = 1031), in the intention-to-treat population the HR for development of type 2 diabetes calculated using a discrete-time proportional hazards model was 0.89 (95% CI 0.74, 1.07; p = 0.22). There were no significant differences in the secondary outcomes. CONCLUSIONS/
interpretationThis trial in two countries with varied ethnic and cultural backgrounds showed no significant reduction in the progression to diabetes in 2 years by lifestyle modification using SMS messaging.
trial registrationThe primary study was registered on www.ClinicalTrials.gov (India, NCT01570946; UK, NCT01795833).
fundingThe study was funded jointly by the Indian Council for Medical Research and the UK Medical Research Council.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.