Evidence map›Paper›PMID 37921158›Full record

ReviewCurrent diabetes reviews2024

Multi-level Analysis of HbA1c in Diagnosis and Prognosis of Diabetic Patients.

Sukhes Mukherjee, Suman Kumar Ray, Ashish A Jadhav, Santosh L Wakode

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current diabetes reviews, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.4field-weighted citation impact, top 16% 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

10 citing papers in PubMed, 7 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Sukhes MukherjeeDepartment of Biochemistry, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, 462020, India.
Suman Kumar RayIndependent Researcher, Bhopal, Madhya Pradesh, 462020, India.ORCID 0000-0003-2019-962X
Ashish A JadhavDepartment of Biochemistry, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, 462020, India.
Santosh L WakodeDepartment of Physiology All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, 462020, India.
All India Institute of Medical Sciences Bhopal · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundType 2 diabetes (T2D), a multifaceted metabolic disorder, may cause health tribulations and changes in biochemical blood markers. Other research has examined the relationships between several biomarkers and the risk of T2D. Few studies have examined the relationships between these biomarkers and potential changes to the network of biomarkers associated with diabetes.

methodGlycated hemoglobin, or HbA1c, is used to evaluate and track the blood glucose history throughout the previous two to three months of testing. The ability to reflect the cumulative glycemic history of the previous two to three months makes HbA1c an essential biomarker of long-term glycemic control. HbA1c offers a trustworthy indicator of chronic hyperglycemia and strongly correlates with the likelihood of long-term consequences from diabetes.

resultAdditionally, elevated HbA1c has been recognized as a stand-alone risk factor for patients with and without diabetes developing coronary heart disease and stroke. One HbA1c test offers a wealth of information that makes it a reliable biomarker for the diagnosis and prognosis of diabetes. A clinical examination may be required to establish the connection between diabetes, prediabetes, biochemical blood indicators, age, and body mass index (BMI).

conclusionWe observed that diabetes, BMI, age, HbA1c, cholesterol, triglycerides, LDL, VLDL, and HDL were all linked using multivariate analysis.

Indexed as

BiomarkersDiabetes Mellitus, Type 2Glycated HemoglobinBlood GlucoseBody Mass IndexHumansPrognosisRisk FactorsBiomarkersBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanbody mass indexdiabetes biomarkerglycated hemoglobinMetabolic disordertriglycerides.type 2 diabetes

Identifiers

PMID37921158
OpenAlexW4388302690

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.