Evidence mapPaperPMID 24609115Full record

ArticlePloS one2014

HbA1c variability as an independent risk factor for diabetic retinopathy in type 1 diabetes: a German/Austrian multicenter analysis on 35,891 patients.

Julia M Hermann, Hans-Peter Hammes, Birgit Rami-Merhar, Joachim Rosenbauer, Morten Schütt, Erhard Siegel, Reinhard W Holl, DPV Initiative the German BMBF Competence Network Diabetes Mellitus

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 2 pooled it
5.6field-weighted citation impact, top 3% 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

42 citing papers in PubMed, 2 syntheses or guidelines pooled it, 95 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  7. Review
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  9. HbADiabetologia · 2024
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  14. Review
  15. Significance of Glycemic Variability in Diabetes Mellitus.Internal medicine (Tokyo, Japan) · 2022
    Article
  16. Observational
  17. Article
  18. Article
  19. The Effect of HbADiagnostics (Basel, Switzerland) · 2021
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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

8 authors at 7 institutions in 2 countries.

Julia M HermannInstitute of Epidemiology and Medical Biometry, ZIBMT, University of Ulm, Ulm, Germany.
Hans-Peter Hammes5th Medical Department, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany.
Birgit Rami-MerharDepartment of Pediatrics and Adolescent Medicine, Medical University Vienna, Vienna, Austria.
Joachim RosenbauerInstitute for Biometrics and Epidemiology, German Diabetes Centre, Leibniz Centre at Heinrich-Heine University Düsseldorf, Düsseldorf, Germany.
Morten SchüttDepartment of Internal Medicine I, Medical University of Lübeck, Lübeck, Germany.
Erhard SiegelDepartment of Internal Medicine II, St. Josefs Hospital Heidelberg, Heidelberg, Germany.
Reinhard W HollInstitute of Epidemiology and Medical Biometry, ZIBMT, University of Ulm, Ulm, Germany.
DPV Initiative the German BMBF Competence Network Diabetes Mellitus
Deutsches Diabetes-Zentrum e.V. · DEHeidelberg University · DEMedical University of Vienna · ATUniversität Ulm · DEUniversity Hospital Heidelberg · DEUniversity of Lübeck · DEZimmer Biomet (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to analyze the effect of HbA1c variability on the occurrence of diabetic retinopathy in type 1 diabetes patients. PATIENTS AND

methods35,891 patients with childhood, adolescent or adult onset of type 1 diabetes from a large multicentre survey, the German/Austrian prospective documentation system (DPV), were analysed. Cox proportional hazard models were used to examine whether intra-individual HbA1c variability expressed as variation coefficient is an independent risk factor for the occurrence of diabetic retinopathy.

resultsKaplan-Meier curves stratified by median HbA1c and variation coefficient revealed that retinopathy-free survival probability is lower when both median HbA1c and HbA1c variability are above the 50th percentile. Cox regression models confirmed this finding: After adjustment for age at diabetes onset, gender and median HbA1c, HbA1c variability was independently associated with the occurrence of diabetic retinopathy. Time-covariate interactions used to model non-proportionality indicated an effect decreasing with duration of diabetes for both median HbA1c and HbA1c variability. Predictive accuracy increased significantly when adding HbA1c variability to the Cox regression model.

conclusionsIn patients with type 1 diabetes, HbA1c variability adds to the risk of diabetic retinopathy independently of average metabolic control.

Indexed as

AdolescentAustriaDiabetes Mellitus, Type 1Diabetic RetinopathyFemaleGermanyGlycated HemoglobinHumansKaplan-Meier EstimateMaleProportional Hazards ModelsRisk FactorsGlycated Hemoglobin

Identifiers

PMID24609115
PMCPMC3946653
OpenAlexW1995974930

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.