Evidence map›Paper›PMID 32958955›Full record

ArticleScientific reports2020

Association of familial history of diabetes or myocardial infarction and stroke with risk of cardiovascular diseases in four German cohorts.

Kristin Mühlenbruch, Juliane Menzel, Marcus Dörr, Till Ittermann, Christa Meisinger, Annette Peters, Alexander Kluttig, Daniel Medenwald, Manuela Bergmann, Heiner Boeing and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
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  5. Review
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

12 authors at 8 institutions in 1 country.

Kristin Mühlenbruch *Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.
Juliane Menzel *Department of Food Safety, German Federal Institute for Risk Assessment, Max-Dohrn-Str. 8-10, Berlin, Germany.ORCID http://orcid.org/0000-0001-7938-4251
Marcus DörrDepartment of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany.
Till IttermannDepartment of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany.
Christa MeisingerIndependent Research Group Clinical Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
Annette PetersGerman Center for Diabetes Research (DZD), Neuherberg, Germany.
Alexander KluttigInstitute of Medical Epidemiology, Biostatistics and Informatics, Interdisciplinary Center for Health Sciences, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany.
Daniel MedenwaldInstitute of Medical Epidemiology, Biostatistics and Informatics, Interdisciplinary Center for Health Sciences, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany.
Manuela BergmannDepartment of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.
Heiner BoeingDepartment of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.
Matthias B SchulzeDepartment of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.
Cornelia WeikertDepartment of Food Safety, German Federal Institute for Risk Assessment, Max-Dohrn-Str. 8-10, Berlin, Germany. cornelia.weikert@bfr.bund.de.ORCID http://orcid.org/0000-0003-1756-0146
Federal Institute for Risk Assessment · DEGerman Institute of Human Nutrition · DEMartin Luther University Halle-Wittenberg · DEUniversitätsmedizin Greifswald · DEDeutsches Diabetes-Zentrum e.V. · DEHelmholtz Zentrum München · DEUniversity of Augsburg · DEUniversity of Potsdam · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since family history of diabetes is a very strong risk factor for type 2 diabetes, which is one of the most important risk factors for cardiovascular disease (CVD), it might be also useful to assess the risk for CVD. Therefore, we aimed to investigate the relationship between a familial (parents and siblings) history of diabetes and the risk of incident CVD. Data from four prospective German cohort studies were used: EPIC-Potsdam study (n = 26,054), CARLA study (n = 1,079), SHIP study (n = 3,974), and KORA study (n = 15,777). A multivariable-adjusted Cox regression was performed to estimate associations between familial histories of diabetes, myocardial infarction or stroke and the risk of CVD in each cohort; combined hazard ratios (HR

Indexed as

AdultAgedCardiovascular DiseasesCohort StudiesDiabetes Mellitus, Type 2FemaleHumansIncidenceMaleMiddle AgedMyocardial InfarctionProportional Hazards ModelsProspective StudiesRisk FactorsStrokeTriglyceridesTriglycerides

Identifiers

PMID32958955
PMCPMC7505832
OpenAlexW3087721417

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.