Evidence map›Paper›PMID 36706615›Full record

ReviewLeukemia research2023

Clonal hematopoiesis due to mosaic chromosomal alterations: Impact on disease risk and mortality.

Aubrey K Hubbard, Derek W Brown, Mitchell J Machiela

Open access · greenAbstract readReview
In one paragraph

Review in Leukemia research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

14 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
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  14. Social, Behavioral, and Clinical Risk Factors Are Associated with Clonal Hematopoiesis.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
    Article
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

3 authors at 2 institutions in 1 country.

Aubrey K HubbardDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
Derek W BrownDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA; Cancer Prevention Fellowship Program, Division of Cancer Prevention, National Cancer Institute, Rockville, MD, USA.
Mitchell J MachielaDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA. Electronic address: mitchell.machiela@nih.gov.
Division of Cancer Epidemiology and GeneticsNational Cancer Institute · US

Funding

Genetic EpidemiologyZIACP005803 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI GOLDSTEIN, ALISA · 2009 to 2025
$24.8M
Intramural NIH HHS Z99 CA999999
6 · The paper itself

Abstract

Mosaic chromosomal alterations (mCAs) are the clonal expansion of large somatically acquired structural chromosomal changes present on the autosomes and sex chromosomes. Most studies of mCAs use existing genotype array intensity data from large populations to investigate potential risk factors and disease outcomes associated with mCAs. In this review, we perform a comprehensive examination of existing evidence for mCA disease and mortality associations and provide a framework for interpreting these associations in the context of important biases specific to mCA studies. Our goal is to motivate well-designed mCA studies to assist in unlocking the potential of mCAs to improve understanding of the effects of ageing and accelerate translational applications for improving public health.

Indexed as

Clonal HematopoiesisHematopoiesisAgingChromosome AberrationsHumansRisk FactorsClonal hematopoiesisDisease riskEpidemiologyMosaic chromosomal alterationsRisk factors

Identifiers

PMID36706615
PMCPMC9974917
OpenAlexW4318393095

What OpenQuestion holds

Textmetadata
LicenceTDM
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.