Evidence map›Paper›PMID 42856605›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Aeron M Small, Liying Xue, Shinsuke Itoh, Cesar De Jeronimo Diaz, Yuto Nakamura, Niekbachsh Mohammadnia, Huajun Liao, Yota Maekawa, Linke Li, Sasha A Singh and 15 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. 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
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.

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

25 authors.

Aeron M SmallDivision of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Liying XueProgram in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Shinsuke ItohCenter for Interdisciplinary Cardiovascular Sciences, Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Cesar De Jeronimo DiazCardiovascular Research Institute, University of California, San Francisco, San Francisco, CA, USA.
Yuto NakamuraCenter for Interdisciplinary Cardiovascular Sciences, Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Niekbachsh MohammadniaProgram in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Huajun LiaoCardiovascular Research Institute, University of California, San Francisco, San Francisco, CA, USA.
Yota MaekawaCenter for Interdisciplinary Cardiovascular Sciences, Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Linke LiProgram in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0009-0002-6350-5121
Sasha A SinghCenter for Interdisciplinary Cardiovascular Sciences, Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.ORCID 0000-0003-0929-3164
Taku KasaiCenter for Interdisciplinary Cardiovascular Sciences, Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Luisa WeissCenter for Interdisciplinary Cardiovascular Sciences, Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Mesbah UddinProgram in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0003-1846-0411
Art SchuermansProgram in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Spencer FlynnDepartment of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Elby MacKenzieMcGill University Health Centre Research Institute, Montréal, Quebec, Canada.
James C EngertMcGill University Health Centre Research Institute, Montréal, Quebec, Canada.
George ThanassoulisMcGill University Health Centre Research Institute, Montréal, Quebec, Canada.
Peter LibbyDivision of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Amil M ShahDivision of Cardiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Christie M BallantyneSection of Cardiovascular Research, Department of Medicine, Texas Heart Institute at Baylor College of Medicine, Houston, Texas, USA.
Pradeep NatarajanCardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Trevor P FidlerCardiovascular Research Institute, University of California, San Francisco, San Francisco, CA, USA.
Elena AikawaCenter for Interdisciplinary Cardiovascular Sciences, Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Michael C HonigbergCardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.ORCID 0000-0001-8630-5021

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Calcific aortic valve disease (CAVD) is a common valvular heart condition and has no effective medical therapy. Clonal hematopoiesis of indeterminate potential (CHIP), characterized by the acquisition of somatic mutations in hematopoietic stem cells which provides a selection advantage, has been associated with incident aortic stenosis (AS), particularly when driven by Methods: We evaluated the association of CHIP and gene-specific CHIP subtypes with AS in the UK Biobank (UKB) and with aortic valve hemodynamics in the Atherosclerosis Risk in Communities (ARIC) study to prioritize gene driver mutations for mechanistic study. We then generated human Results: Among 449,109 individuals in the UKB with whole exome sequencing, large CHIP clones and non- Conclusions: Integrating human cohort data with experimental evidence using

Identifiers

PMID42856605
PMCPMC13648716

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.