Evidence map›Paper›PMID 26011129›Full record

ArticlePloS one2015

A detailed family history of myocardial infarction and risk of myocardial infarction--a nationwide cohort study.

Mattis Flyvholm Ranthe, Jonathan Aavang Petersen, Henning Bundgaard, Jan Wohlfahrt, Mads Melbye, Heather A Boyd

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.0field-weighted citation impact, top 10% 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

20 citing papers in PubMed, 43 citations in OpenAlex.

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  7. IntronicInternational journal of molecular sciences · 2025
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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 2 institutions in 1 country.

Mattis Flyvholm RantheDepartment of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark.
Jonathan Aavang PetersenDepartment of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark.
Henning BundgaardThe Heart Center, Unit for Inherited Cardiac Diseases, Copenhagen University Hospital, Copenhagen, Denmark.
Jan WohlfahrtDepartment of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark.
Mads MelbyeDepartment of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark.
Heather A BoydDepartment of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark.
Statens Serum Institut · DKCopenhagen University Hospital · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFamily history of myocardial infarction (MI) is an independent risk factor for MI. Several genetic variants are associated with increased risk of MI and family history of MI in a first-degree relative doubles MI risk. However, although family history of MI is not a simple dichotomous risk factor, the impact of specific, detailed family histories has not received much attention, despite its high clinical relevance. We examined risk of MI by MIs in first- and second-degree relatives and by number and age of affected relatives. METHODS AND

findingsUsing Danish national registers, we established a nationwide cohort of persons born between 1930 and 1992 with identifiable first- or second-degree relatives. Incident MIs in both cohort members and relatives aged ≥20 years were identified. We calculated incidence rate ratios (IRRs) for MI by family history of MI, by Poisson regression. In 4.4 million persons followed for 104 million person-years, we identified 128,384 incident MIs. IRRs with 95% confidence intervals [CIs] for MI by history of MI in 1, 2 or ≥3 first-degree relatives were 1.46 (1.42-1.49), 2.38 (2.22-2.56) and 3.58 (2.66-4.81), respectively. Corresponding estimates for second-degree relatives were 1.17 (1.05-1.30), 1.87 (1.46-2.38) and 2.18 (1.09-4.36). A history of MI in combinations of first- and second-degree relatives increased risks 1.8- to 7-fold in middle-aged persons (36 to 55 years). Estimates were robust to adjustment for diabetes, hypertension, dyslipidemia and use of cardiovascular medications.

conclusionA detailed family history, particularly number of affected first- and second-degree relatives, contributes meaningfully to risk assessment, especially in middle-aged persons. Future studies should test for potential improvement of risk algorithm prediction using detailed family histories.

Indexed as

AdultCohort StudiesDenmarkDiabetes MellitusFamilyFemaleHumansHypertensionMaleMiddle AgedMyocardial InfarctionRisk Factors

Identifiers

PMID26011129
PMCPMC4444238
OpenAlexW366858587

What OpenQuestion holds

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LicenceCC BY
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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.