Evidence mapPaperPMID 32641021Full record

ArticleBMC endocrine disorders2020

Sociodemographic factors associated with HbA1c variability in type 2 diabetes: a prospective exploratory cohort study.

Emelia Mellergård, Per Johnsson, Frida Eek

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Article in BMC endocrine disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
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

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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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

3 authors.

Emelia MellergårdDepartment of Health Sciences, Faculty of Medicine, Lund University, Box 157, 22100, Lund, Sweden. emelia.mellergard@med.lu.se.ORCID http://orcid.org/0000-0002-3180-8550
Per JohnssonDepartment of Psychology, Faculty of Social Sciences, Lund University, Lund, Sweden.
Frida EekDepartment of Health Sciences, Faculty of Medicine, Lund University, Box 157, 22100, Lund, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe associations between sociodemographic factors and HbA1c variability in type 2 diabetes are not yet established. Examining group differences in HbA1c variability may help identify patient characteristics related to diabetes management. The present study examined differences in baseline HbA1c and HbA1c variability between groups with regard to sex, level of education, civil status, age, and BMI, in a sample of individuals with type 2 diabetes.

methodsThe study was a prospective exploratory cohort study. Differences in HbA1c variability between sociodemographic groups were analyzed in 158 individuals. HbA1c variability was assessed as the standard deviation (SD) and coefficient of variation (CV) over five measured points, and a questionnaire was used to assess sociodemographic factors.

resultsThe results showed significantly higher HbA1c variability in men compared to women (mean difference 1.44 mmol/mol [95% CI: 0.58 to 2.31]), and significantly higher HbA1c variability in individuals with a BMI characterized as obese compared to individuals with a BMI characterized as normal weight (mean difference 1.56 mmol/mol [95% CI: 0.25 to 2.88]). There were no significant associations between HbA1c variability and civil status or education.

conclusionsMen and individuals with obesity may be more vulnerable to future diabetic complications than other groups, since they have greater long-term glycemic variability.

Indexed as

Socioeconomic FactorsAdultAgedBiomarkersBlood GlucoseDiabetes Mellitus, Type 2FemaleFollow-Up StudiesGlycated HemoglobinHumansMaleMiddle AgedPrognosisProspective StudiesSwedenBiomarkersBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanBMIDiabetes managementGlycemic controlHbA1c variabilitySex differencesSociodemographic factorsType 2 diabetes

Identifiers

PMID32641021
PMCPMC7346450

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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.