Evidence mapPaperPMID 31830993Full record

ArticleCardiovascular diabetology2019

Visit-to-visit variability of glycemia and vascular complications: the Hoorn Diabetes Care System cohort.

Roderick C Slieker, Amber A W H van der Heijden, Giel Nijpels, Petra J M Elders, Leen M 't Hart, Joline W J Beulens

Open access · goldAbstract read
In one paragraph

Article in Cardiovascular diabetology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 3 pooled it
4.3field-weighted citation impact, top 5% 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, 3 syntheses or guidelines pooled it, 46 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

6 authors at 3 institutions in 1 country.

Roderick C SliekerDepartment of Epidemiology and Biostatistics, Amsterdam Public Health Institute, Amsterdam UMC, Location VUMC, De Boelelaan 1089a, 1081 HV, Amsterdam, The Netherlands. r.slieker@amsterdamumc.nl.ORCID 0000-0003-0961-9152
Amber A W H van der HeijdenDepartment of General Practice and Elderly Care Medicine, Amsterdam Public Health Institute, Amsterdam UMC, Location VUmc, Amsterdam, The Netherlands.
Giel NijpelsDepartment of General Practice and Elderly Care Medicine, Amsterdam Public Health Institute, Amsterdam UMC, Location VUmc, Amsterdam, The Netherlands.
Petra J M EldersDepartment of General Practice and Elderly Care Medicine, Amsterdam Public Health Institute, Amsterdam UMC, Location VUmc, Amsterdam, The Netherlands.
Leen M 't HartDepartment of Epidemiology and Biostatistics, Amsterdam Public Health Institute, Amsterdam UMC, Location VUMC, De Boelelaan 1089a, 1081 HV, Amsterdam, The Netherlands.
Joline W J BeulensDepartment of Epidemiology and Biostatistics, Amsterdam Public Health Institute, Amsterdam UMC, Location VUMC, De Boelelaan 1089a, 1081 HV, Amsterdam, The Netherlands.
Amsterdam UMC Location Vrije Universiteit Amsterdam · NLLeiden University Medical Center · NLUniversity Medical Center Utrecht · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlycemic variation has been suggested to be a risk factor for diabetes-related complications. Previous studies did not address confounding of diabetes duration, number of visits and length of follow-up. Here, we characterize glycemic variability over time and whether its relation to diabetes-related complications and mortality is independent from diabetes- and follow-up duration. MATERIALS AND

methodsIndividuals with type 2 diabetes (n = 6770) from the Hoorn Diabetes Care System cohort were included in this study. The coefficient of variation (CV) was calculated over 5-year sliding intervals. People divided in quintiles based on their CV. Cox proportional hazard models were used to investigate the role of glycemic CV as risk factor in diabetes-related complications and mortality.

resultsThe coefficient of variation of glucose (FG-CV) increased with time, in contrast to HbA1c (HbA1c-CV). People with a high FG-CV were those with an early age of diabetes onset (Δ

conclusionsIndividuals with a higher FG-CV have an unfavorable metabolic profile and have an increased risk of developing micro- and macrovascular complications and mortality. The association of HbA1c-CV with metabolic outcomes and complications was less consistent in comparison to FG-CV.

Indexed as

AdultAgedBiomarkersBlood GlucoseDiabetes Mellitus, Type 2Diabetic AngiopathiesFemaleGlycated HemoglobinHumansMaleMiddle AgedNetherlandsPredictive Value of TestsPrognosisProspective StudiesRisk AssessmentBiomarkersBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanComplicationsGlycemiaType 2 diabetesVariability

Identifiers

PMID31830993
PMCPMC6909524
OpenAlexW2995713901

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.