Evidence map›Paper›PMID 40690110›Full record

ArticleDiabetes therapy : research, treatment and education of diabetes and related disorders2025

Real-World Effectiveness of My Dose Coach™-Assisted Basal Insulin Titration in People with Type 2 Diabetes in Saudi Arabia and Kuwait.

Mohammed E Al-Sofiani, Mohamed Almehthel, Ebaa Al Ozairi, Jamaa Sadik, Lichen Hao, Yasser Akil

Abstract read
In one paragraph

Article in Diabetes therapy : research, treatment and education of diabetes and related disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Mohammed E Al-SofianiEndocrinology Unit, Internal Medicine Department, College of Medicine, King Saud University, 11461, Riyadh, Saudi Arabia. malsofiani@ksu.edu.com.ORCID http://orcid.org/0000-0003-4420-9378
Mohamed AlmehthelKing Fahad Medical City, Riyadh, Saudi Arabia.
Ebaa Al OzairiDasman Diabetes Institute, Dasman, Kuwait City, Kuwait.
Jamaa SadikSanofi, Dubai, United Arab Emirates.
Lichen HaoSanofi, Bridgewater, USA.
Yasser AkilSanofi, Jeddah, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMy Dose Coach (MDC) is a digital smartphone application approved in multiple countries, including Saudi Arabia and Kuwait, to help people with type 2 diabetes (T2D) titrate their basal insulin as per their clinician-guided, individualized diabetes care plan.

methodsA retrospective, observational cohort analysis was conducted on MDC user data collected from 1 January 2021 to 1 June 2023 in Saudi Arabia and Kuwait. Primary outcome was change in fasting blood glucose (FBG). Key secondary outcomes included time to achieve FBG and HbA

resultsAmong all users (N = 494), mean ± SD FBG decrease was -44.4 ± 72.5 mg/dL. Mean ± SD time to achieve FBG target was 14.8 ± 20.9 days and 12.8 ± 18.8, 29.1 ± 28.0, and 43.5 ± 41.7 days for high-, moderate-, and low-frequency MDC users, respectively. Individualized FBG targets were achieved by 276 (55.9%) users, and high-frequency of MDC use was associated with better target achievement (p < 0.01). Mean ± SD time to achieve HbA

conclusionsCurrent findings show that using MDC is associated with improved glycemic control in people with T2D in Saudi Arabia and Kuwait, with greater benefits observed with higher frequency MDC usage.

Indexed as

Fasting blood glucoseHypoglycemiaMobile applicationsMy Dose CoachSelf-monitoring blood glucoseType 2 diabetes

Identifiers

PMID40690110
PMCPMC12399482

What Socratic holds

Textmetadata
LicenceCC BY-NC
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Registered trials

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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 Socratic graph.