Evidence map›Paper›PMID 32164753›Full record

ArticleCardiovascular diabetology2020

Biomarker-defined pathways for incident type 2 diabetes and coronary heart disease-a comparison in the MONICA/KORA study.

Cornelia Huth, Alina Bauer, Astrid Zierer, Julie Sudduth-Klinger, Christa Meisinger, Michael Roden, Annette Peters, Wolfgang Koenig, Christian Herder, Barbara Thorand

Open access · goldAbstract read
In one paragraph

Article in Cardiovascular diabetology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 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

10 authors at 5 institutions in 2 countries.

Cornelia HuthInstitute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health (GmbH), Ingolstädter Landstraße 1, 85764, Neuherberg, Germany. huth@helmholtz-muenchen.de.ORCID 0000-0003-2421-433X
Alina BauerInstitute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health (GmbH), Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.
Astrid ZiererInstitute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health (GmbH), Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.
Julie Sudduth-KlingerTethys Bioscience Inc., Emeryville, CA, USA.
Christa MeisingerChair of Epidemiology, Ludwig-Maximilians-Universität München, UNIKA-T Augsburg, Augsburg, Germany.ORCID 0000-0002-9026-6544
Michael RodenGerman Center for Diabetes Research (DZD), München-Neuherberg, Germany.
Annette PetersInstitute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health (GmbH), Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.ORCID 0000-0001-6645-0985
Wolfgang KoenigGerman Centre for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany.
Christian HerderGerman Center for Diabetes Research (DZD), München-Neuherberg, Germany.ORCID 0000-0002-2050-093X
Barbara ThorandInstitute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health (GmbH), Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.ORCID 0000-0002-8416-6440
Helmholtz Zentrum München · DEDeutsches Diabetes-Zentrum e.V. · DETethys Research (United States) · USUniversität Ulm · DEUniversity of Augsburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBiomarkers may contribute to our understanding of the pathophysiology of various diseases. Type 2 diabetes (T2D) and coronary heart disease (CHD) share many clinical and lifestyle risk factors and several biomarkers are associated with both diseases. The current analysis aims to assess the relevance of biomarkers combined to pathway groups for the development of T2D and CHD in the same cohort.

methodsForty-seven serum biomarkers were measured in the MONICA/KORA case-cohort study using clinical chemistry assays and ultrasensitive molecular counting technology. The T2D (CHD) analyses included 689 (568) incident cases and 1850 (2004) non-cases from three population-based surveys. At baseline, the study participants were 35-74 years old. The median follow-up was 14 years. We computed Cox regression models for each biomarker, adjusted for age, sex, and survey. Additionally, we assigned the biomarkers to 19 etiological pathways based on information from literature. One age-, sex-, and survey-controlled average variable was built for each pathway. We used the R

resultsThe associations of many biomarkers, such as several cytokines or the iron marker soluble transferrin receptor (sTfR), were similar in strength for T2D and CHD, but we also observed important differences. Lipoprotein (a) (Lp(a)) and N-terminal pro B-type natriuretic peptide (NT-proBNP) even demonstrated opposite effect directions. All pathway variables together explained 49% of the T2D risk and 21% of the CHD risk. The insulin-like growth factor binding protein 2 (IGFBP-2, IGF/IGFBP system pathway) best explained the T2D risk (about 9% explained risk, independent of all other pathway variables). For CHD, the myocardial-injury- and lipid-related-pathways were most important and both explained about 4% of the CHD risk.

conclusionsThe biomarker-derived pathway variables explained a higher proportion of the T2D risk compared to CHD. The ranking of the pathways differed between the two diseases, with the IGF/IGFBP-system-pathway being most strongly associated with T2D and the myocardial-injury- and lipid-related-pathways with CHD. Our results help to better understand the pathophysiology of the two diseases, with the ultimate goal of pointing out targets for lifestyle intervention and drug development to ideally prevent both T2D and CHD development.

Indexed as

AdultAgedBiomarkersCase-Control StudiesCoronary DiseaseDiabetes Mellitus, Type 2FemaleHumansIncidenceMaleMiddle AgedPrognosisProspective StudiesRisk AssessmentRisk FactorsTime FactorsBiomarkersBiomarkerCase-cohort studyCoronary heart diseaseFetuin-AIGFBP-2Lp(a)NT-proBNPPathwaysTroponin IType 2 diabetes

Identifiers

PMID32164753
PMCPMC7066738
OpenAlexW3012353491

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.