Evidence map›Paper›PMID 36654923›Full record

ArticleCancer informatics2023

Visualization and Quantification of the Association Between Breast Cancer and Cholesterol in the All of Us Research Program.

Jianglin Feng, Esteban Astiazaran Symonds, Jason H Karnes

Open access · goldAbstract read
In one paragraph

Article in Cancer informatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 29% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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.

Jianglin FengDepartment of Pharmacy Practice and Science, College of Pharmacy, University of Arizona, Tucson, AZ, USA.
Esteban Astiazaran SymondsDepartment of Medicine, College of Medicine-Tucson, University of Arizona, Tucson, AZ, USA.
Jason H KarnesDepartment of Pharmacy Practice and Science, College of Pharmacy, University of Arizona, Tucson, AZ, USA.
University of Arizona · USVanderbilt University Medical Center · US

Funding

Precision Medicine for All of Us Researchers Collective Medicine de Precision: Colectivo de Investigadores Salud para TodosOT2OD036485 · OD · UNIVERSITY OF ARIZONA · PI KARNES, JASON HANSEN, MORENO, FRANCISCO A · 2023 to 2025
$2.6M
Leveraging the Microbiome, Local Admixture, and Machine Learning to Optimize Anticoagulant Pharmacogenomics in Medically Underserved PatientsR01HL158686 · NHLBI · UNIVERSITY OF ARIZONA · PI KARNES, JASON HANSEN · 2021 to 2025
$2.2M
ABO and Immunogenetic Variation in the Pathogenesis of Heparin-Induced ThrombocytopeniaR01HL156993 · NHLBI · UNIVERSITY OF ARIZONA · PI KARNES, JASON HANSEN · 2022 to 2025
$2.0M
NHLBI NIH HHS R01 HL156993NHLBI NIH HHS R01 HL158686NIH HHS OT2 OD036485
6 · The paper itself

Abstract

Epidemiologic evidence for the association of cholesterol and breast cancer is inconsistent. Several factors may contribute to this inconsistency, including limited sample sizes, confounding effects of antihyperlipidemic treatment, age, and body mass index, and the assumption that the association follows a simple linear function. Here, we aimed to address these factors by combining visualization and quantification a large-scale contemporary electronic health record database (the All of Us Research Program). We find clear visual and quantitative evidence that breast cancer is strongly, positively, and near-linearly associated with total cholesterol and low-density lipoprotein cholesterol, but not associated with triglycerides. The association of breast cancer with high-density lipoprotein cholesterol was non-linear and age dependent. Standardized odds ratios were 2.12 (95% confidence interval 1.9-2.48),

Indexed as

antihyperlipidemic treatmentBreast cancerelectronic medical recordshigh-density lipoprotein cholesterollow-density lipoprotein cholesteroltotal cholesteroltriglycerides

Identifiers

PMID36654923
PMCPMC9841847
OpenAlexW4317480008

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.