Evidence map›Paper›PMID 38343581›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2024

Evaluation of Red Blood Cell Indices for Prediction of Glycemic Control in People Living with Type 2 Diabetes.

Meiraf Daniel Meshesha, Ayantu Melke, Abraham Teka Ajema, Kaleb Mayisso

Open access · goldAbstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 98% 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.

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

2 citing papers in PubMed, 0 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

4 authors at 2 institutions in 1 country.

Meiraf Daniel MesheshaDepartment of Internal Medicine, Dilla University, Dilla, Ethiopia.ORCID 0000-0002-7660-0614
Ayantu MelkeDepartment of Epidemiology, Hawassa University, Hawassa, Ethiopia.
Abraham Teka AjemaDepartment of Epidemiology, Hawassa University, Hawassa, Ethiopia.
Kaleb MayissoDepartment of Public Health, Hawassa University, Hawassa, Ethiopia.
Hawassa University · ETDilla University · ET

Funding

Health Professionals Education Partnership Initiative EthiopiaR25TW011214 · FIC · ADDIS ABABA UNIVERSITY · PI DERBEW, MILIARD · 2018 to 2022
$3.3M
FIC NIH HHS R25 TW011214
6 · The paper itself

Abstract

Background: Achieving target glycemic control in people living with diabetes lessens most of the diabetes-related complications and hemoglobin A1C is the gold standard test for assessing the long-term glycemic control. However, the expensive cost, and its limited access are problematic for routine use in developing countries, demanding an urgent alternative solution. Hence, this study aimed to assess the potential of red blood cell indices in predicting glycemic control among people living with type 2 diabetes at Dilla University Hospital. Methods: A cross-sectional study was conducted among 207 participants with type 2 diabetes. Red blood cell indices were compared between the poor and good glycemic control groups using the Results: The prevalence of poor glycemic control among the participants was 91.8%. Higher mean hemoglobin (p=0.002) and mean corpuscular hemoglobin (p=0.015) was found in the good glycemic control group. An inverse correlation was also observed between hemoglobin A1C and mean corpuscular hemoglobin (r=-0.158; Conclusion: This study revealed that hemoglobin can potentially be used to assess glycemic control among people with type 2 diabetes but the interpretation needs to be cautious.

Indexed as

Ethiopiahemoglobin A1Cred blood cell indices

Identifiers

PMID38343581
PMCPMC10859054
OpenAlexW4391608633

What OpenQuestion holds

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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 OpenQuestion graph.