Evidence map›Paper›PMID 42699413›Full record

ArticleInternational journal of applied & basic medical research

Red Blood Cell Parameters as Cost-effective Biomarkers in Normal and Altered Glycemic States: A Cross-sectional Study.

Priyadarsini Dhavakumar, Latha Ramalingam, Vanathy Karunamoorthy

Abstract read
In one paragraph

Article in International journal of applied & basic medical research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Priyadarsini DhavakumarDepartment of Physiology, Bhaarath Medical College and Hospital, Chennai, Tamil Nadu, India.
Latha RamalingamDepartment of Physiology, Bhaarath Medical College and Hospital, Chennai, Tamil Nadu, India.
Vanathy KarunamoorthyDepartment of Physiology, Bhaarath Medical College and Hospital, Chennai, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hemoglobin A1C levels, along with fasting and postprandial blood glucose levels, are the tests routinely used in the diagnosis and management of diabetes. Complete blood count (CBC) is a simple blood test commonly done for various conditions, from which various red blood cell (RBC) parameters can be assessed. The aim of this study is to assess the relationship between blood glucose levels and RBC parameters, which can be assessed from routine blood investigations done during follow-up. Materials and Methods: The subjects were categorized into three groups based on their hemoglobin A1C (HbA1C) levels: normal, prediabetic, and diabetic groups. The first normal group (HbA1C <5.7%), the prediabetic group (HbA1C 5.7%-6.4%), and the diabetic group (HbA1C >6.5%). CBC was done, and total RBC count, hematocrit, hemoglobin, mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), MCH concentration (MCHC), and RBC distribution width (RDW) were determined. The data from the three groups were analyzed and compared for statistical significance. Results: Chi-square test and analysis of variance (ANOVA) were used for analysis of data in testing for statistical significance between the groups. Significant statistical difference was observed between the groups in MCV, MCHC, and RDW. The diabetic group observed the highest MCV (93.84 ± 8.98), highest RDW (44.59 ± 1.67), and least MCHC (33.09 ± 2.01) when compared with the prediabetic and normal groups. Conclusion: This study concludes that RBC parameters, which are often overlooked need to be considered as important indicators of glucose regulation and inflammatory status in addition to routine HbA1C and blood glucose assessment for comprehensive management of patients.

Indexed as

Hemoglobin A1Cmean corpuscular volumeprediabetesred blood cell distribution width

Identifiers

PMID42699413
PMCPMC13544651

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.