Evidence map›Paper›PMID 34535694›Full record

ArticleScientific reports2021

Impact of genetic risk score on the association between male childlessness and cardiovascular disease and mortality.

Angel Elenkov, Olle Melander, Peter M Nilsson, He Zhang, Aleksander Giwercman

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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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

5 authors at 2 institutions in 1 country.

Angel ElenkovReproductive Medicine Centre, Skåne University Hospital, Malmö, Sweden. angel.elenkov@med.lu.se.
Olle MelanderDepartment of Clinical Sciences Malmö, Lund University, Malmö, Sweden.
Peter M NilssonDepartment of Clinical Sciences Malmö, Lund University, Malmö, Sweden.
He ZhangDepartment of Translational Medicine, Clinical Research Centre, Lund University, Jan Waldenströms gata 35, Building 60, Plan 9, 20502, Malmö, Sweden.
Aleksander GiwercmanReproductive Medicine Centre, Skåne University Hospital, Malmö, Sweden.
Skåne University Hospital · SELund University · SE

Funding

European Research Council 885003
6 · The paper itself

Abstract

Childless men are reported to have a higher risk of cardiovascular disease (CVD) and mortality. Information on inherited genetic risk for CVD has improved the predictive models. Presuming that childlessness is a proxy of infertility we aimed to investigate if childless men inherit more often genetic traits for CVD and if combining genetic and parenthood information improves predictive models for CVD morbidity and mortality. Data was sourced from a large prospective population-based cohort where genetic risk score (GRS) was calculated using two sets of either 27 (GRS 27) or 50 (GRS 50) single nucleotide polymorphisms (SNPs) previously found to be associated with CVD. Part of the participants (n = 2572 men) were randomly assigned to a sub-cohort with focus on CVD which served as an exploratory cohort. The obtained statistically significant results were tested in the remaining (confirmatory) part of the cohort (n = 9548 men). GRS distribution did not differ between childless men and fathers (p-values for interaction between 0.29 and 0.76). However, when using fathers with low GRS as reference high GRS was a strong predictor for CVD mortality, the HR (95% CI) increasing from 1.92 (1.10-3.36) for GRS 50 and 1.54 (0.87-2.75) for GRS 27 in fathers to 3.12 (1.39-7.04) for GRS50 and 3.73 (1.75-7.99) for GRS27 in childless men. The confirmatory analysis showed similar trend. Algorithms including paternal information and GRS were more predictive for CVD mortality at 5 and 10 years follow-ups when compared to algorithms including GRS only (AUC 0.88 (95% CI 0.84-0.92) and 0.86 (95% CI 0.84-0.90), and, AUC 0.81 (95% CI 0.75-0.87) and 0.78 (95% CI 0.73-0.82), respectively). Combining information on parental status and GRS for CVD may improve the predictive power of risk algorithms in middle-aged men. Childless men and those with severe infertility problem may be an important target group for prevention of CVD.

Indexed as

AgedCardiovascular DiseasesFathersGenetic Predisposition to DiseaseHumansInfertility, MaleMaleMiddle AgedProspective StudiesRisk AssessmentRisk Factors

Identifiers

PMID34535694
PMCPMC8448891
OpenAlexW3199142535

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.