Evidence map›Paper›PMID 30755204›Full record

ArticleBMC endocrine disorders2019

Preventing misdiagnosis of diabetes in the elderly: age-dependent HbA1c reference intervals derived from two population-based study cohorts.

Annette Masuch, Nele Friedrich, Johannes Roth, Matthias Nauck, Ulrich Alfons Müller, Astrid Petersmann

Open access · goldAbstract read
In one paragraph

Article in BMC endocrine disorders, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
5.1field-weighted citation impact, top 4% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 86 citations in OpenAlex.

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  8. Narrative Review: Continuous Glucose Monitoring (CGM) in Older Adults with Diabetes.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2025
    Review
  9. Observational
  10. The Impact of Age and Sex on Fasting Plasma Glucose and Glycated Haemoglobin (HbA1c) in the Non-diabetes Population.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2025
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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

6 authors at 3 institutions in 1 country.

Annette MasuchInstitute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Ferdinand-Sauerbruch-Straße, 17475, Greifswald, Germany.
Nele FriedrichInstitute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Ferdinand-Sauerbruch-Straße, 17475, Greifswald, Germany.
Johannes RothDepartment Internal Medicine III, Endocrinology and Metabolic Diseases, University Hospital Jena, Jena, Germany.
Matthias NauckInstitute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Ferdinand-Sauerbruch-Straße, 17475, Greifswald, Germany.
Ulrich Alfons MüllerDepartment Internal Medicine III, Endocrinology and Metabolic Diseases, University Hospital Jena, Jena, Germany.
Astrid PetersmannInstitute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Ferdinand-Sauerbruch-Straße, 17475, Greifswald, Germany. astrid.petersmann@uni-greifswald.de.
Universitätsmedizin Greifswald · DEJena University Hospital · DEGerman Centre for Cardiovascular Research · DE

Funding

Bundesministerium für Bildung und Forschung 01ZZ9603, 01ZZ0103, and 01ZZ0403
6 · The paper itself

Abstract

backgroundMeasurement of gylcated hemoglobin A1c (HbA1c) plays a central role in monitoring quality of antidiabetic therapy and in the diagnosis of diabetes. Several studies report increased levels of HbA1c in nondiabetic elderly. However, this observation did not reach incorporation into daily clinical practice or the respective guidelines. The present study aimed to evaluate HbA1c levels in relation to age in two independent population-based cohorts and to derive age-specific reference intervals.

methodsFour thousand two hundred sixty three participants from the Study of Health in Pomerania (SHIP-0) and 4402 participants from the independent study SHIP-Trend were included. HbA1c was determined by means of high-performance liquid chromatography. Multivariable linear regression models were performed. Reference intervals for HbA1c were determined.

resultsReference intervals were derived from a healthy subpopulation with the upper reference limit (URL) for HbA1c of 42.1 mmol/Mol (6.0%) for individuals aged 20-39 years increasing to 43.2 mmol/Mol (6.1%) for individuals aged 40-59 years. For people aged ≥60 years the URL was 47.5 mmol/Mol (6.5%). In both study populations an increase in HbA1c with age was observed. ANOVA revealed up to 8.5 mmol/Mol (0.77%) or 7.3 mmol/Mol (0.68%) higher estimated mean levels of HbA1c in the oldest compared to the youngest age group in SHIP-0 or SHIP-trend, respectively. Linear regression analyses confirmed the positive associations of HbA1c with age which was independent of BMI

conclusionThe present study confirmed the previously observed increase of HbA1c with increasing age in non-diabetic individuals. As a consequence age-dependent reference values for HbA1c were derived from two large and well defined reference populations. Implementation of them into daily practice may improve patient care and diagnosis of diabetes and reduce the risk of misdiagnosis and subsequent overtreatment of diabetes in elderly patients.

Indexed as

AdultAgedAge FactorsBiomarkersBlood GlucoseCohort StudiesDiabetes MellitusDiagnostic ErrorsFemaleFollow-Up StudiesGermanyGlycated HemoglobinHumansMaleMiddle AgedPrognosisBiomarkersBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanAge-dependencyDiabetes diagnosisElderlyHbA1cUpper reference limit

Identifiers

PMID30755204
PMCPMC6371438
OpenAlexW2934239510

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.