Evidence map›Paper›PMID 40256128›Full record

ArticleHealth science reports2025

Transformative Advances in Continuous Glucose Monitoring and the Impact of FDA Over-the-Counter Approval on Diabetes Care.

Zain Afridi, Sameer Abdul Rauf, Syed Muhammad Nabil Ashraf, Md Ariful Haque

Abstract read
In one paragraph

Article in Health science reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
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

4 authors.

Zain AfridiDepartment of Medicine Khyber Medical College Peshawar Karachi Pakistan.
Sameer Abdul RaufDepartment of Medicine Liaquat National Medical College Karachi Pakistan.ORCID 0009-0009-4776-9064
Syed Muhammad Nabil AshrafDepartment of Medicine Jinnah Sindh Medical University Karachi Pakistan.
Md Ariful HaqueDepartment of Public Health Atish Dipankar University of Science and Technology Dhaka Bangladesh.ORCID 0000-0003-4632-5153

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Continuous glucose monitoring (CGM) has significantly advanced diabetes management, evolving from early glucose testing methods to modern, FDA-approved systems. Despite its benefits, challenges related to data security, affordability, and awareness of CGM devices remain. Aim: This article explores the historical development, current advancements, and ongoing challenges of CGM systems in diabetes management. It aims to provide insights into how these technologies have transformed patient care and highlight areas needing further improvement. Methods: A comprehensive literature review was conducted, focusing on advancements in CGM technology. Sources included PubMed, Google Scholar, and recent guidelines and reviews on CGM systems and their impact on diabetes management. Results: The evolution from the Dextrostix test strip to modern CGM systems, including over-the-counter devices, has enhanced glucose monitoring and patient outcomes. Recent innovations, such as machine learning models for predicting glucose fluctuations, promise to improve diabetes management. However, issues like data security and device accessibility persist. Conclusion: To maximize the benefits of CGM systems, addressing data security, improving affordability, and increasing awareness of CGM devices are crucial. Continued advancements in CGM technology and supportive policies are essential for enhancing diabetes care and patient outcomes globally.

Indexed as

continuous glucose monitoring (CGM)diabetes mellitusFDA approvalglucose monitoring devicesover‐the‐counter CGM

Identifiers

PMID40256128
PMCPMC12007415

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.