Evidence mapPaperPMID 37538973Full record

ArticleCureus2023

Association of the Red Cell Distribution Width With the Glycemic Index and Lipid Profile in Patients With Type 2 Diabetes Mellitus.

Mamdouh Allahyani

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.2field-weighted citation impact, top 18% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Review
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

1 author at 1 institution in 1 country.

Mamdouh AllahyaniDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, Taif University, Taif, SAU.
Taif University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background The aim of this study was to assess the association between the red cell distribution width (RDW) and the hemoglobin A1C (HbA1c) and lipid profiles in patients with type 2 diabetes (T2DM). Materials and methods This case-control study included 130 individuals with T2DM disease who were admitted to the Diabetic Center in Taif, Saudi Arabia, between August and December 2022. The patients were divided into two groups: pre-diabetic (45 patients) and diabetic (85 patients). A total of 65 healthy people were included in the study as controls. The (HbA1c) level, lipid profile, and complete blood count (CBC) were determined for each participant, and differences in those parameters between the groups were evaluated using the one-way ANOVA test or Kruskal-Wallis test. The association between different parameters, including the RDW, was evaluated using the Pearson correlation coefficient. Results Both the pre-diabetic and diabetic patients were obese and had high concentrations of triglycerides, cholesterol, and low-density lipoprotein (LDL). None of the diabetic patients had anemia of any type. However, the RDW was higher in the diabetic group than in the healthy controls and a significant difference was detected. A positive correlation was detected between the RDW and the HbA1c levels and lipid profiles. Discussion The size of the red blood cells varied in patients with T2DM, as demonstrated by the high RDW values. The RDW showed a positive correlation with the glycemic index and with the lipid profile in patients with T2DM, suggesting that it is a useful prognostic marker for managing patients with T2DM.

Indexed as

cbchba1clipid profilerdwt2dm

Identifiers

PMID37538973
PMCPMC10394479
OpenAlexW4385455951

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.