Evidence map›Paper›PMID 38476459›Full record

ArticleResearch and practice in thrombosis and haemostasis2024

Proportion of venous thromboembolism attributed to recognized prothrombotic genotypes in men and women.

Carl Arne Løchen Arnesen, Line H Evensen, Kristian Hveem, Maiken E Gabrielsen, John-Bjarne Hansen, Sigrid K Brækkan

Open access · goldAbstract read
In one paragraph

Article in Research and practice in thrombosis and haemostasis, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.5field-weighted citation impact, top 39% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 3 institutions in 1 country.

Carl Arne Løchen ArnesenThrombosis Research Group, Department of Clinical Medicine, UiT-The Arctic University of Norway, Tromsø, Norway.
Line H EvensenThrombosis Research Group, Department of Clinical Medicine, UiT-The Arctic University of Norway, Tromsø, Norway.
Kristian HveemHUNT Center for Molecular and Clinical Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway.
Maiken E GabrielsenHUNT Center for Molecular and Clinical Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway.
John-Bjarne HansenThrombosis Research Group, Department of Clinical Medicine, UiT-The Arctic University of Norway, Tromsø, Norway.
Sigrid K BrækkanThrombosis Research Group, Department of Clinical Medicine, UiT-The Arctic University of Norway, Tromsø, Norway.
University Hospital of North Norway · NONorwegian University of Science and Technology · NOUiT The Arctic University of Norway · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Data on the proportion of venous thromboembolism (VTE) risk attributed to prothrombotic genotypes in men and women are limited. Objectives: We aimed to estimate the population attributable fraction (PAF) of VTE for recognized, common prothrombotic genotypes in men and women using a population-based case cohort. Methods: Cases with incident VTE ( Results: In women, the individual PAFs for SNPs included in the cumulative model were 16.9% for Conclusion: Our findings in a Norwegian population suggest that 52% and 38% of the VTEs can be attributed to known prothrombotic genotypes in men and women, respectively.

Indexed as

epidemiologyrisk factorssex differencessingle-nucleotide polymorphismvenous thromboembolism

Identifiers

PMID38476459
PMCPMC10926210
OpenAlexW4391642416

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.