Evidence map›Paper›PMID 39618608›Full record

ArticleCureus2024

Evaluation of Glycemic Control in Patients With Diabetes by a Continuous Glucose Monitoring System During the Month of Ramadan.

Nassim Essabah Haraj, Nana Aichatou Harouna Malam Brah, Siham Elaziz, Asma Chadli

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Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Nassim Essabah HarajDepartment of Endocrinology and Metabolic Diseases, Ibn Rochd University Hospital, Casablanca, MAR.
Nana Aichatou Harouna Malam BrahDepartment of Endocrinology and Metabolic Diseases, Ibn Rochd University Hospital, Casablanca, MAR.
Siham ElazizDepartment of Endocrinology and Metabolic Diseases, Ibn Rochd University Hospital, Casablanca, MAR.
Asma ChadliDepartment of Endocrinology and Metabolic Diseases, Ibn Rochd University Hospital, Casablanca, MAR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionRamadan presents challenges for patients with type 2 diabetes mellitus (T2DM) who choose to fast. Maintaining good glycemic control through regular monitoring during fasting is crucial. This study aims to evaluate and compare glycemic fluctuations in fasting and non-fasting T2DM patients during Ramadan. MATERIALS AND

methodsWe conducted a prospective comparative study on 39 T2DM patients, divided into fasting and non-fasting groups based on the International Diabetes Federation - Diabetes and Ramadan Alliance (IDF-DAR) Practical Guidelines 2021. Each patient wore an iPro®2 Continuous Glucose Monitoring System (CGMS) device (Medtronic plc, Dublin, Ireland), for five to seven days, with consultations scheduled before, during, and after Ramadan. Glycated hemoglobin (HbA1c) levels were measured before and after Ramadan. The fasting risk score was calculated using the DAR guidelines.

resultsThe fasting group included 29 fasting patients with an average fasting risk score of 2.7 according to the DAR guidelines, while the non-fasting group had 10 non-fasting patients with an average score of 6.55. The average HbA1c was estimated by the CGMS at 7.36% for fasting patients and 7.1% for non-fasting patients. In the fasting group, 80% of patients experienced at least one episode of hyperglycemia, averaging 4.03 episodes per day, predominantly occurring during pre-dawn (suhoor) and post-sunset (iftar) periods. Hypoglycemia occurred in 24% of fasting patients, mainly before iftar. In contrast, the non-fasting group had a higher average of 6.8 hyperglycemic episodes per day, with 50% of the group also experiencing hypoglycemia. Notably, a significant improvement in HbA1c was observed in the non-fasting group after Ramadan (7.77 ± 0.89 vs. 9.13 ± 1.99, p=0.037). No significant changes in HbA1c, weight, or body mass index were found in the fasting group.

conclusionPre-Ramadan education, risk stratification, and continuous monitoring during Ramadan are essential to prevent metabolic complications in T2DM patients, whether fasting or non-fasting. CGMSs reveal a high prevalence of hyperglycemia, especially in non-fasting patients, underscoring the need for tailored treatment adjustments to achieve optimal glycemic control.

Indexed as

continuous glucose monitoring systemsdiabetesfastingglycemic controlramadan

Identifiers

PMID39618608
PMCPMC11606437

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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.