Evidence map›Paper›PMID 39629034›Full record

ArticleJournal of research in medical sciences : the official journal of Isfahan University of Medical Sciences2024

Effect of low-frequency blood glucose self-monitoring on glycosylated hemoglobin levels among older adults with type 2 diabetes mellitus.

Mohammad Sahebkar, Atousa Ariafar, Farnush Attarzadeh, Najmeh Rahimi, Susan J Malkemes, Mohammad Hassan Rakhshani, Abdolghader Assarroudi

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Article in Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

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No citing paper in PubMed yet.

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

7 authors.

Mohammad SahebkarSchool of Nursing, Faculty of Health Sciences, University of Ottawa, Ottawa, Ontario, Canada.
Atousa AriafarStudent Research Committee, Sabzevar University of Medical Sciences, Sabzevar, Iran.
Farnush AttarzadehStudent Research Committee, Faculty of Medicine, Sabzevar University of Medical Sciences, Sabzevar, Iran.
Najmeh RahimiDepartment of Internal Medicine, Noncommunicable Diseases Research Center, School of Medicine, Sabzevar University of Medical Sciences, Sabzevar, Iran.
Susan J MalkemesDepartment of Nursing, Passan School of Nursing, Wilkes University, Wilkes Barre, PA, USA.
Mohammad Hassan RakhshaniDepartment of Biostatistics and Epidemiology, Iranian Research Center on Healthy Aging, School of Health, Sabzevar University of Medical Sciences, Sabzevar, Iran.
Abdolghader AssarroudiDepartment of Medical-Surgical Nursing, Iranian Research Center on Healthy Aging, School of Nursing, Sabzevar University of Medical Sciences, Sabzevar, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Reducing the frequency of self-monitoring of blood sugar, due to needle phobia, pain, stress, and costs associated with the procedure, can improve patient compliance and quality of life, provided that adequate blood sugar control is maintained. This study aimed to evaluate the effect of low-frequency blood glucose self-monitoring (LFBGSM) on glycosylated hemoglobin (HbA1 Materials and Methods: This randomized controlled trial with a parallel design was conducted on 121 older adults with T2DM in Sabzevar, Iran, between 2018 and 2020. Initially, subjects were stratified based on the type of treatment (with or without insulin) and then randomly assigned to intervention (LFBGSM) and control (no blood glucose self-monitoring [no-BGSM]) groups. HbA1 Results: The mean age of participants treated with and without insulin was 64.3 ± 9.60 and 64.7 ± 5.01 years, respectively. The ANCOVA test revealed a significant difference in the mean HbA1 Conclusion: Findings suggest a significant reduction in HbA1

Indexed as

Blood glucose self-monitoringdiabetes mellitus type 2glycated hemoglobin Ainsulin

Identifiers

PMID39629034
PMCPMC11613979

What Socratic holds

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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.