In one paragraphArticle in medRxiv : the preprint server for health sciences, 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
–field-weighted citation impact
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 registryThe 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 literatureWho cites it
0 citing papers in PubMed, 2 citations in OpenAlex.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
5 · Who and what moneyAuthors and funding
30 authors at 10 institutions in 3 countries.
Daniela ZanettiDepartment of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine; Stanford, CA, USA.ORCID 0000-0002-1225-1021 Azalia M Martínez JaimesDepartment of Developmental Biology, Stanford University School of Medicine; Stanford, CA, USA.ORCID 0000-0001-9412-6787 Elie N FarahDepartment of Medicine, Division of Cardiology, University of California San Diego; La Jolla, CA, USA.ORCID 0000-0002-2412-0950 Soumya KunduDepartment of Genetics, Stanford University School of Medicine; Stanford, CA, USA.
Salil S DeshpandeInstitute for Computational and Mathematical Engineering, Stanford University School of Medicine; Stanford, CA, USA.
Pik Fang KhoDepartment of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine; Stanford, CA, USA.ORCID 0000-0001-7831-6062 Sarah AbramowitzDepartment of Medicine, Division of Cardiovascular Medicine, University of Pennsylvania Perelman School of Medicine; Philadelphia, PA, USA.ORCID 0000-0001-5515-1752 Saiju PyarajanCenter for Data and Computational Sciences, VA Boston Healthcare System; Boston, MA, USA.
Daniel DochtermannCenter for Data and Computational Sciences, VA Boston Healthcare System; Boston, MA, USA.ORCID 0000-0001-9513-5124 Million Veteran Program
Michael G LevinDepartment of Medicine, Division of Cardiovascular Medicine, University of Pennsylvania Perelman School of Medicine; Philadelphia, PA, USA.ORCID 0000-0002-9937-9932 Virginia D WinnDepartment of Obstetrics and Gynecology, Stanford University School of Medicine; Stanford, CA, USA.ORCID 0000-0003-1136-2907 Anca M PaşcaDepartment of Pediatrics, Neonatology, Stanford University School of Medicine; Stanford, CA, USA.ORCID 0000-0002-0445-9009 Neil C ChiDepartment of Medicine, Division of Cardiology, University of California San Diego; La Jolla, CA, USA.ORCID 0000-0003-2324-3796 Shoa L ClarkeDepartment of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine; Stanford, CA, USA.ORCID 0000-0002-6592-1172 Themistocles L AssimesDepartment of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine; Stanford, CA, USA.ORCID 0000-0003-2349-0009 VA Palo Alto Health Care System · USStanford University · USPhiladelphia VA Medical Center · USStanford Medicine · USRocky Mountain MS Center · USUniversity of California San Diego · USVA Boston Healthcare System · USDonald & Barbara Zucker School of Medicine at Hofstra/Northwell · USHoward Hughes Medical Institute · USInstitute of Mathematical Statistics · US
Funding
Phenotypic Diversity in COVID-19UL1TR001878 · NCATS · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2016 to 2025
$102.4MSupplement to Enhance Wellness and Resiliency in the Graduate EnvironmentT32GM007276 · NIGMS · STANFORD UNIVERSITY · PI MORRISON, ASHBY J. · 1985 to 2023
$32.9MTraining In Cardiovascular Physiology & PharmacologyT32HL007444 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Ju Chen, Robert Scott Ross · 1985 to 2026
$11.1MInstitutional Career Development Core (KL2)KL2TR003143 · NCATS · STANFORD UNIVERSITY · PI ASCH, STEVEN M. · 2019 to 2023
$8.7MMechanotransduction and transcriptional regulation during artery developmentR01HL128503 · NHLBI · STANFORD UNIVERSITY · PI Mary Red-Horse · 2015 to 2026
$5.8MTraining in Myocardial Biology at Stanford (TIMBS)T32HL094274 · NHLBI · STANFORD UNIVERSITY · PI Euan A Ashley, Daniel Bernstein · 2010 to 2026
$5.0MGenetics of Cardiometabolic Diseases in the VA PopulationI01BX003362 · VA · VETERANS ADMIN PALO ALTO HEALTH CARE SYS · PI Kyong-Mi Chang, Philip S Tsao · 2017 to 2026
–BLRD VA I01 BX003362NCATS NIH HHS KL2 TR003143NCATS NIH HHS UL1 TR001878NHLBI NIH HHS R01 HL128503NHLBI NIH HHS T32 HL007444NHLBI NIH HHS T32 HL094274NIGMS NIH HHS T32 GM007276
6 · The paper itselfAbstract
To efficiently distribute blood flow to cardiac muscle, the coronary artery tree must follow a specific branching pattern over the heart. How this pattern arises in humans is unknown due to the limitations of studying human heart development. Here, we leveraged a natural variation of coronary artery anatomy, known as coronary dominance, in genetic association studies to identify the first known driver of human coronary developmental patterning. Coronary dominance refers to whether the right, left, or both coronary arteries branch over the posterior left ventricle, but whether this variability is heritable and how it would be genetically regulated was completely unknown. By conducting the first large-scale, multi-ancestry genome-wide association study (GWAS) of coronary dominance in 61,043 participants of the VA Million Veteran Program, we observed moderate heritability (27.7%) with ten loci reaching genome wide significance. An exceptionally strong association mapped DNA variants to a non-coding region near the chemokine
Identifiers
PMID37961706
PMCPMC10635223
OpenAlexW4387977079
What OpenQuestion holds
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