Evidence map›Paper›PMID 35002271›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2021

Evaluation of Red Blood Cell Parameters as a Biomarker for Long-Term Glycemic Control Monitoring Among Type 2 Diabetic Patients in Southwest Ethiopia: A Cross-Sectional Study.

Misganaw Asmamaw, Tariku Sime, Kumsa Kene, Minale Fekadie Baye, Muluken Teshome, Belay Zawdie

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 24% 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

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

  1. Pooled it
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  3. Review
  4. Article
  5. Article
  6. 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

6 authors at 2 institutions in 1 country.

Misganaw AsmamawDivision of Biochemistry, Department of Biomedical Sciences, College of Medicine and Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.ORCID 0000-0002-9711-8640
Tariku SimeDivision of Biochemistry, Department of Biomedical Sciences, Institute of Health, Jimma University, Jimma, Ethiopia.ORCID 0000-0002-8353-1127
Kumsa KeneDivision of Biochemistry, Department of Biomedical Sciences, Institute of Health, Jimma University, Jimma, Ethiopia.ORCID 0000-0002-2874-3995
Minale Fekadie BayeDivision of Biochemistry, Department of Biomedical Sciences, Institute of Health, Jimma University, Jimma, Ethiopia.ORCID 0000-0002-9338-9953
Muluken TeshomeDivision of Physiology, Department of Biomedical Sciences, College of Medicine and Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.
Belay ZawdieDivision of Biochemistry, Department of Biomedical Sciences, Institute of Health, Jimma University, Jimma, Ethiopia.
Jimma University · ETDebre Tabor University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe main aim of this study was to assess red blood cell parameters as a biomarker for long-term glycemic monitoring among T2 DM patients.

methodsFacility-based cross-sectional study through a consecutive sampling technique was conducted among 124 T2 DM patients at the chronic illness follow-up clinic of Jimma Medical Center (JMC) from July 27 to August 31, 2020. A structured questionnaire was used to collect socio-demographic and clinical-related data. Five milliliters of the blood specimen were collected from each eligible T2 DM patient. Glycated hemoglobin (HbA1c) and red blood cell parameters were determined by Cobas 6000 and DxH 800 fully automated analyzers, respectively. Data were entered into EpiData software version 3.1 and exported to SPSS 25 version for analysis. Independent

resultsThe mean age of study participants was 51.84± 11.6 years. Moreover, 60.5% of T2 DM patients were in poor glycemic control. There was a significant mean difference between good and poor glycemic controlled T2 DM patients in red blood cell count (4.79±0.5 vs 4.38±0.8), hemoglobin (14.13±1.4 vs 13.60±1.6), mean corpuscular volume (89.52±4.7 vs 92.62±7.5), mean corpuscular hemoglobin (29.63±1.6 vs 30.77±2.9), and red cell distribution width (13.68±1.1 vs 14.63±1.2) respectively. Red blood cell count was inversely correlated (

conclusionRed cell count, mean corpuscular volume, mean corpuscular hemoglobin, and red cell distribution width could be useful indicators to monitor the glycemic status of T2 DM patients instead of HbA1c, though large prospective studies should be considered.

Indexed as

HbA1chyperglycemiared blood cell parametersT2 DM

Identifiers

PMID35002271
PMCPMC8722719
OpenAlexW4226019373

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.