Evidence map›Paper›PMID 34047962›Full record

ArticleDiabetes therapy : research, treatment and education of diabetes and related disorders2021

Improvement in Glucose Regulation Using a Digital Tracker and Continuous Glucose Monitoring in Healthy Adults and Those with Type 2 Diabetes.

Ashkan Dehghani Zahedani, Solmaz Shariat Torbaghan, Salar Rahili, Kirill Karlin, Darrin Scilley, Riya Thakkar, Maziyar Saberi, Noosheen Hashemi, Dalia Perelman, Nima Aghaeepour and 2 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Diabetes therapy : research, treatment and education of diabetes and related disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06864546 (A Participatory Approach to Support Glucose Tolerance Tracking in Real-Life of Patients With Type 2 Diabetes), which is not on this map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
5.3field-weighted citation impact, top 3% 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.

NCT06864546 narecruitingnot on this mapstarted 2025, after this paper: background citation

A Participatory Approach to Support Glucose Tolerance Tracking in Real-Life of Patients With Type 2 Diabetes

TypeinterventionalSponsorEnea ParimbelliRan2025 to 2026Enrolled20ConditionsType 2 Diabetes Mellitus, Non Insulin DependentArmsPhysical activity intervention
3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 2 syntheses or guidelines pooled it, 62 citations in OpenAlex.

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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

12 authors at 1 institution in 1 country.

Ashkan Dehghani Zahedani *January AI, 1259 El Camino Real #231, Menlo Park, CA, 94025, USA.
Solmaz Shariat Torbaghan *January AI, 1259 El Camino Real #231, Menlo Park, CA, 94025, USA.
Salar RahiliJanuary AI, 1259 El Camino Real #231, Menlo Park, CA, 94025, USA.
Kirill KarlinJanuary AI, 1259 El Camino Real #231, Menlo Park, CA, 94025, USA.
Darrin ScilleyJanuary AI, 1259 El Camino Real #231, Menlo Park, CA, 94025, USA.
Riya ThakkarJanuary AI, 1259 El Camino Real #231, Menlo Park, CA, 94025, USA.
Maziyar SaberiJanuary AI, 1259 El Camino Real #231, Menlo Park, CA, 94025, USA.
Noosheen HashemiJanuary AI, 1259 El Camino Real #231, Menlo Park, CA, 94025, USA.
Dalia PerelmanJanuary AI, 1259 El Camino Real #231, Menlo Park, CA, 94025, USA.
Nima AghaeepourJanuary AI, 1259 El Camino Real #231, Menlo Park, CA, 94025, USA.
Tracey McLaughlinJanuary AI, 1259 El Camino Real #231, Menlo Park, CA, 94025, USA.
Michael P SnyderJanuary AI, 1259 El Camino Real #231, Menlo Park, CA, 94025, USA. mike@mail.january.ai.ORCID http://orcid.org/0000-0003-0784-7987
Águas de Portugal (Portugal) · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWhile continuous glucose monitoring (CGM) has been shown to decrease both hyper- and hypoglycemia in insulin-treated diabetes, its value in non-insulin-treated type 2 diabetes (T2D) and prediabetes is unclear. Studies examining the reduction in hyperglycemia with the use of CGM in non-insulin-treated T2D are limited.

methodsWe investigated the potential benefit of CGM combined with a mobile app that links each individual's glucose tracing to meal composition, heart rate, and physical activity in a cohort of 1022 individuals, ranging from nondiabetic to non-insulin-treated T2D, spanning a wide range of demographic, geographic, and socioeconomic characteristics. The primary endpoint was the change in time in range (TIR), defined as 54-140 mg/dL for healthy and prediabetes, and 54-180 mg/dL for T2D, from the beginning to end of a 10-day period of use of the Freestyle Libre CGM. Logged food intake, physical activity, continuous glucose, and heart rate data were captured by a smartphone-based app that continuously provided feedback to participants, overlaying daily glucose patterns with activity and food intake, including macronutrient breakdown, glycemic load (GL), and glycemic index (GI).

resultsA total of 665 participants meeting eligibility and data requirements were included in the final analysis. Among self-reported nondiabetic participants, CGM identified glucose excursions in the diabetic range among 15% of healthy and 36% of those with prediabetes. In the group as a whole, TIR improved significantly (p < 0.001). Among the 51.4% of participants who improved, TIR increased by an average of 6.4% (p < 0.001). Of those with poor baseline TIR, defined as TIR below comparable A1c thresholds for T2D and prediabetes, 58.3% of T2D and 91.7% of healthy/prediabetes participants improved their TIR by an average of 22.7% and 23.2%, respectively. Predictors of improved response included no prior diagnosis of T2D and lower BMI.

conclusionsThese results indicate that 10-day use of CGM as a part of multimodal data collection, with synthesis and feedback to participants provided by a mobile health app, can significantly reduce hyperglycemia in non-insulin-treated individuals, including those with early stages of glucose dysregulation.

Indexed as

Continuous glucose monitorDiabetesDigital healthPrediabetesTime in range

Identifiers

PMID34047962
PMCPMC8266934
OpenAlexW3164167890

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.