Evidence map›Paper›PMID 32076733›Full record

ArticleDiabetologia2020

Effect of familial diabetes status and age at diagnosis on type 2 diabetes risk: a nation-wide register-based study from Denmark.

Omar Silverman-Retana, Adam Hulman, Jannie Nielsen, Claus T Ekstrøm, Bendix Carstensen, Rebecca K Simmons, Lasse Bjerg, Luke W Johnston, Daniel R Witte

Open access · bronzeAbstract read
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In one paragraph

Article in Diabetologia, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

11 citing papers in PubMed, 13 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

9 authors at 3 institutions in 2 countries.

Omar Silverman-RetanaDepartment of Public Health, Aarhus University, Building 1260, Barthollins Allé 2, 8000 Aarhus C, Aarhus, Denmark. omar.silverman@ph.au.dk.ORCID 0000-0002-2744-9698
Adam HulmanDepartment of Public Health, Aarhus University, Building 1260, Barthollins Allé 2, 8000 Aarhus C, Aarhus, Denmark.
Jannie NielsenGlobal Health Section, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
Claus T EkstrømSection of Biostatistics, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
Bendix CarstensenClinical Epidemiology Department, Steno Diabetes Center Copenhagen, Gentofte, Denmark.
Rebecca K SimmonsDepartment of Public Health, Aarhus University, Building 1260, Barthollins Allé 2, 8000 Aarhus C, Aarhus, Denmark.
Lasse BjergDepartment of Public Health, Aarhus University, Building 1260, Barthollins Allé 2, 8000 Aarhus C, Aarhus, Denmark.
Luke W JohnstonDepartment of Public Health, Aarhus University, Building 1260, Barthollins Allé 2, 8000 Aarhus C, Aarhus, Denmark.
Daniel R WitteDepartment of Public Health, Aarhus University, Building 1260, Barthollins Allé 2, 8000 Aarhus C, Aarhus, Denmark.
Steno Diabetes Centers · DKAarhus University · DKUniversity of Copenhagen · DK

Funding

Independent Research Fund Denmark DFF - 5053-00263
6 · The paper itself

Abstract

aims/hypothesisWe assessed whether the risk of developing type 2 diabetes and the age of onset varied with the age at diabetes diagnosis of affected family members.

methodsWe performed a national register-based open cohort study of individuals living in Denmark between 1995 and 2012. The population under study consisted of all individuals aged 30 years or older without diagnosed diabetes at the start date of the cohort (1 January 1995) and who had information about their parents' identity. Individuals who turned 30 years of age during the observation period and had available parental identity information were also added to the cohort from that date (open cohort design). These criteria restricted the study population mostly to people born between 1960 and 1982. Multivariable Poisson regression models adjusted for current age and highest educational attainment were used to estimate incidence rate ratios (IRRs) of type 2 diabetes.

resultsWe followed 2,000,552 individuals for a median of 14 years (24,034,059 person-years) and observed 76,633 new cases of type 2 diabetes. Compared with individuals of the same age and sex who did not have a parent or full sibling with diabetes, the highest risk of developing type 2 diabetes was observed in individuals with family members diagnosed at an early age. The IRR was progressively lower with a higher age at diabetes diagnosis in family members: 3.9 vs 1.4 for those with a parental age at diagnosis of 50 or 80 years, respectively; and 3.3 vs 2.0 for those with a full sibling's age at diagnosis of 30 or 60 years, respectively. CONCLUSIONS/

interpretationPeople with a family member diagnosed with diabetes at an earlier age are more likely to develop diabetes and also to develop it at an earlier age than those with a family member diagnosed in later life. This finding highlights the importance of expanding our understanding of the interplay between genetic diabetes determinants and the social, behavioural and environmental diabetes determinants that track in families across generations. Accurate registration of age at diagnosis should form an integral part of recording a diabetes family history, as it provides easily obtainable and highly relevant detail that may improve identification of individuals at increased risk of younger onset of type 2 diabetes. In particular, these individuals may benefit from closer risk factor assessment and follow-up, as well as prevention strategies that may involve the family.

Indexed as

AdultAgedAge FactorsCohort StudiesDenmarkDiabetes Mellitus, Type 2FemaleHumansIncidenceMaleMiddle AgedRegistriesRisk FactorsClinical scienceEpidemiologyPrediction and prevention of type 2 diabetes

Identifiers

PMID32076733
OpenAlexW3006988972

What OpenQuestion 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 OpenQuestion graph.