Evidence map›Paper›PMID 35899108›Full record

ArticleFrontiers in pharmacology2022

Correlation Analysis of Variables From the Atherosclerosis Risk in Communities Study.

Meisha Mandal, Josh Levy, Cataia Ives, Stephen Hwang, Yi-Hui Zhou, Alison Motsinger-Reif, Huaqin Pan, Wayne Huggins, Carol Hamilton, Fred Wright and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in pharmacology, 2022. 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
–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

1 citing paper in PubMed.

  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

11 authors.

Meisha MandalGenOmics, Bioinformatics, and Translational Research Center, RTI International, Research Triangle Park, NC, United States.
Josh LevyLevy Informatics, Chapel Hill, NC, United States.
Cataia IvesGenOmics, Bioinformatics, and Translational Research Center, RTI International, Research Triangle Park, NC, United States.
Stephen HwangGenOmics, Bioinformatics, and Translational Research Center, RTI International, Research Triangle Park, NC, United States.
Yi-Hui ZhouDepartment of Statistics, North Carolina State University, Raleigh, NC, United States.
Alison Motsinger-ReifBiostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Durham, NC, United States.
Huaqin PanGenOmics, Bioinformatics, and Translational Research Center, RTI International, Research Triangle Park, NC, United States.
Wayne HugginsGenOmics, Bioinformatics, and Translational Research Center, RTI International, Research Triangle Park, NC, United States.
Carol HamiltonGenOmics, Bioinformatics, and Translational Research Center, RTI International, Research Triangle Park, NC, United States.
Fred WrightDepartment of Statistics, North Carolina State University, Raleigh, NC, United States.
Stephen EdwardsGenOmics, Bioinformatics, and Translational Research Center, RTI International, Research Triangle Park, NC, United States.

Funding

Collaborative Applied StatisticsZIAES103335 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI MOTSINGER-REIF, ALISON · 2019 to 2025
$9.0M
Linking Complex Disease and Exposure Data to Established Data StandardsR24ES028479 · NIEHS · RESEARCH TRIANGLE INSTITUTE · PI HAMILTON, CAROL MARIE · 2017 to 2019
$1.0M
NIEHS NIH HHS R24 ES028479
6 · The paper itself

Abstract

The need to test chemicals in a timely and cost-effective manner has driven the development of new alternative methods (NAMs) that utilize in silico and

Indexed as

ARICcardiovascular diseasecluster analysismeta-analysis as topicsystems biology

Identifiers

PMID35899108
PMCPMC9310100

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.