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Sex-specific survival bias and interaction modeling in coronary artery disease risk prediction

medRxiv(2021)10.1101/2021.06.23.21259247Source: DataRank Database

Sex-specific survival bias and interaction modeling in coronary artery disease risk prediction is a research paper published in medRxiv (2021). On theSindex it has a DataRank of 0.355. It has been cited 6 times, with 3 citing works in its 1-hop citation network.

N/A

0.355DataRank · unranked

Scored on demand from live citation data

Open Access6 citations · 3 citing works in its network

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DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)OA: greenTopics (31)IDs (PubMed, OpenAlex)SDGs (2)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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DataRank Breakdown

Base Score 82%Citation Network 18%

Base Score Contribution

0.292

From this paper's citation signal

Citation Network Contribution

0.0633

From 2 citing papers with measurable signal

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Top 3 citers driving the network score

Ranked by each citer's contribution to N(p) — log1p(C_q) divided by its reference count — out of 3 citers.

Joint impact of polygenic risk score and lifestyles on early- and late-onset cardiovascular diseases
Nature Human Behaviour202438 citations56 referencesContributes 0.065
Mechanistic Heterogeneity in Type 2 Diabetes and Hypertension Comorbidity Revealed with Partitioned Polygenic Scores
medRxiv20251 citations77 referencesContributes 0.009
Concordance between male- and female-specific GWAS results helps define underlying genetic architecture of complex traits
bioRxiv (Cold Spring Harbor Laboratory)20220 citations62 referencesContributes 0.000

Authors (11)

Brooke N. Wolford ORCID,Scott C. Ritchie ORCID,Whitney Hornsby ORCID,Nadia R. Sutton ORCID,Maiken Elvenstad Gabrielsen

Live enrichment

PubMed:30945415 OpenAlex:https://openalex.org/W3176275047

National Institutes of Health

Grant: 1K76AG064426-01A1

Ectonucleotidase modulation of age-dependent vascular calcification and stiffness

National Institutes of Health

Grant: 5R01HL142023-02

Integrative analysis to uncover biology of blood lipids & coronary heart disease

National Institutes of Health

Grant: 5R01HL127564-06

Using genetic variation to study biology of blood lipids & coronary heart disease

greenLicense: cc-by-nc

repositoryhttps://www.medrxiv.org/content/medrxiv/early/2021/06/28/2021.06.23.21259247.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2021.06.23.21259247

repositoryhttps://doi.org/10.1101/2021.06.23.21259247

https://doi.org/10.1161/circgen.121.003542

Fields of Study

Genetic Associations and EpidemiologyLipoproteins and Cardiovascular HealthCardiovascular Health and Risk Factors03 medical and health sciences0302 clinical medicine

Keywords

ConcordanceCoronary artery diseaseProportional hazards modelBiobankMedicineCADPopulationRisk assessmentInternal medicineCohortFramingham Risk ScorePolygenic risk scoreDiseaseDemographyBioinformaticsBiologyGeneticsComputer scienceEnvironmental healthSingle-nucleotide polymorphismMaleSex FactorsCardiovascular DiseasesRisk FactorsHumansFemale

Sustainable Development Goals

SDG 3: 3. Good healthSDG 0: Good health and well-being