Evidence map›Paper›PMID 33122930›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2020

Red Blood Cell Parameters and Their Correlation with Renal Function Tests Among Diabetes Mellitus Patients: A Comparative Cross-Sectional Study.

Tiruneh Adane, Zegeye Getaneh, Fikir Asrie

Open access · goldAbstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
2.0field-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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. A machine learning-based framework for predicting type 2 diabetes mellitus using hematological indices.American heart journal plus : cardiology research and practice · 2026
    Article
  4. Observational
  5. Article
  6. Review
  7. Pathophysiology of Red Blood Cell Dysfunction in Diabetes and Its Complications.Pathophysiology : the official journal of the International Society for Pathophysiology · 2023
    Review
  8. Article
  9. Red Blood Cell Distribution Width as a Biomarker in Type 2 Diabetes Mellitus: Technical Notes [Letter].Diabetes, metabolic syndrome and obesity : targets and therapy · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Carbonyl Stress in Red Blood Cells and Hemoglobin.Antioxidants (Basel, Switzerland) · 2021
    Review
  15. Article
  16. Article
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

3 authors at 1 institution in 1 country.

Tiruneh AdaneSchool of Biomedical and Laboratory Sciences, Department of Hematology and Immunohematology, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.ORCID 0000-0001-6597-5755
Zegeye GetanehSchool of Biomedical and Laboratory Sciences, Department of Hematology and Immunohematology, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.ORCID 0000-0002-8239-8491
Fikir AsrieSchool of Biomedical and Laboratory Sciences, Department of Hematology and Immunohematology, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
University of Gondar · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetes mellitus (DM) patients show a significant derangement in various hematological parameters including changes affecting the red blood cells (RBCs). All these derangements have an imposing effect on any of the RBC indices. Thus, the main aim of this study was determining the RBCs parameters and their correlation with renal function, and also the magnitude of anemia in DM patients in comparison with healthy controls.

methodsA comparative cross-sectional study was conducted at the chronic illness clinic of University of Gondar Hospital from January to April 2020. A total of 246 participants (164 DM and 82 controls) were selected using a simple random sampling technique. Data were collected using a pretested structured questionnaire. Five milliliters venous blood was collected by vacutainer blood collection technique. RBC parameters and renal function tests were determined by using Sysmex KX21N and BS-200E Mindray analyzers, respectively. The data were tested for normality using Shapiro-Wilk and Kolmogorov-Smirnov tests. Independent sample

resultsThe mean hemoglobin (Hgb) concentration was 13.8±0.7 and 15±1.3 among DM and controls, respectively. RBC (p=0.014), Hgb (p ˂0.001), hematocrit (Hct) (p ˂0.001), and mean cell volume (MCV) (p ˂0.001) were significantly lower in DM patients as compared to controls. On the other hand, mean cell hemoglobin concentration (MCHC) was significantly increased in DM patients (p ˂0.001) than the controls. Besides, a significant negative correlation was found between Hgb and creatinine (Cr) in DM patients.

conclusionThe mean values of RBC parameters (RBC, Hgb, Hct, and MCV) for DM patients were found significantly lower than the control groups. Besides a significant negative correlation was found between Cr and RBC indices (RBC, Hgb, Hct, and MCV) in DM patients. It is, therefore, suggested that RBC parameters abnormalities should be evaluated and treated periodically in DM patients for better prognosis and quality of life.

Indexed as

anemiadiabetes mellitusEthiopiaGondarRBC parametersrenal function

Identifiers

PMID33122930
PMCPMC7591059
OpenAlexW3093790043

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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.