Evidence map›Paper›PMID 37798652›Full record

ArticleBMC research notes2023

Comparative analysis of glycated haemoglobin, fasting blood glucose and haematological parameters in Type-2 diabetes patients.

Samuel Antwi-Baffour, Benjamin Tetteh Mensah, Dorinda Naa Okailey Armah, Samira Ali-Mustapha, Lawrence Annison

Open access · goldAbstract read
In one paragraph

Article in BMC research notes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 10% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Clinical Significance of Serum CCR2 and IDO1 in Diabetic Peripheral Neuropathy.Diabetes, metabolic syndrome and obesity : targets and therapy · 2026
    Article
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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

5 authors at 4 institutions in 1 country.

Samuel Antwi-BaffourDepartment of Medical Laboratory Sciences, School of Biomedical and Allied Health Sciences, College of Health Sciences, University of Ghana, Korle-Bu, P. O. Box KB 143, Accra, Ghana. ssantwi-baffour@ug.edu.gh.
Benjamin Tetteh MensahDepartment of Medical Laboratory Sciences, School of Biomedical and Allied Health Sciences, College of Health Sciences, University of Ghana, Korle-Bu, P. O. Box KB 143, Accra, Ghana.
Dorinda Naa Okailey ArmahDepartment of Medical Laboratory Sciences, School of Biomedical and Allied Health Sciences, College of Health Sciences, University of Ghana, Korle-Bu, P. O. Box KB 143, Accra, Ghana.
Samira Ali-MustaphaDepartment of Maternal and Child Health, School of Nursing, University of Ghana, Legon, Ghana.
Lawrence AnnisonDepartment of Medical Laboratory Technology, School of Medical Sciences, Accra Technical University, Accra, Ghana.
Korle Bu Teaching Hospital · GHAccra Technical University · GHUniversity of Ghana · GHUniversity of Health and Allied Sciences · GH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDiabetes remains a major health problem, and Glycated hemoglobin (HBA1c) and fasting blood glucose (FBG) levels play important roles in its management. Also, chronic hyperglycemia coupled with high HBA1c levels impact inflammation and may alter haematological parameters in diabetes. Hence, the need to assess and correlate HBA1c and FBG levels with selected haematological parameters in patients with type-2 diabetes mellitus as the main objective of this study. The study was cross-sectional involving 384 participants. Five milliliters of blood was collected from each participant and analyzed for HBA1c, FBG levels and full blood count which were correlated statistically.

resultsFrom the data obtained and analyzed, there were statistically significant correlations between HBA1c and neutrophil count (p < 0.013), plateletcrit (p < 0.036), mean platelet volume (p < 0.019) and platelet distribution width (p < 0.002). There were also significant differences in FBG (p < 0.014), neutrophil count (p < 0.029), red cell distribution width (p < 0.046), mean platelet volume (p < 0.032) and platelet distribution width (p < 0.013) between diabetes patients with HBA1c less than 7.0% and HBA1c more than or equal to 7.0%. The outcome of the study indicates significant correlation of HBA1c with selected haematological parameters. This could make routine haematological parameters a cost-effective means of predicting poor glucose control in diabetes mellitus patients.

Indexed as

Blood GlucoseDiabetes Mellitus, Type 2Cross-Sectional StudiesFastingGlycated HemoglobinHumansBlood GlucoseGlycated HemoglobinDiabetes mellitusGlucoseGlycated haemoglobinHaematological

Identifiers

PMID37798652
PMCPMC10557280
OpenAlexW4387389243

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.