Evidence map›Paper›PMID 31985490›Full record

ArticleThe Journal of clinical investigation2020

Breaking through the surface: more to learn about lipids and cardiovascular disease.

Justin B Echouffo-Tcheugui, Mohit Jain, Susan Cheng

Open access · bronzeAbstract readComment
In one paragraph

Article in The Journal of clinical investigation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 41% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Lipid Biochemistry and its Role in Human Diseases.Current medicinal chemistry · 2025
    Review
  2. Article
  3. Review
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 1 country.

Justin B Echouffo-TcheuguiDivision of Endocrinology, Diabetes and Metabolism, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Mohit JainDepartment of Medicine and.
Susan ChengSmidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Cedars-Sinai Medical Center · USJohns Hopkins University · USUniversity of California San Diego · US

Funding

Mediators of Systemic Inflammation and Heart Failure Risk in the CommunityR01HL143227 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI CHENG, SUSAN · 2019 to 2022
$3.3M
Inflammatory Mediators, Cardiovascular Health, and Longevity in WomenR01HL134168 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI CHENG, SUSAN · 2016 to 2019
$1.6M
NHLBI NIH HHS R01 HL134168NHLBI NIH HHS R01 HL143227
6 · The paper itself

Abstract

The human lipidome comprises over tens of thousands of distinct lipid species in addition to total cholesterol and the other conventional lipid traits that are routinely measurable in the peripheral circulation. Of the lipid species considered to exhibit bioactive functions, sphingolipids are a class of molecules that have shown relevance to human disease risk and cardiovascular outcomes in particular. In this issue of the JCI, Poss et al. conducted targeted lipidomics in a case-control study involving over 600 individuals and found a sphingolipid profile that predicted coronary artery disease status. In the context of emerging evidence linking sphingolipid biology with cardiovascular pathophysiology, these results suggest the potential utility of serum sphingolipids as cholesterol-independent markers of risk and even future targets for optimizing cardiovascular health.

Indexed as

Cardiovascular DiseasesCoronary Artery DiseaseBiomarkersCase-Control StudiesCholesterolHumansLipidsMachine LearningSphingolipidsBiomarkersCholesterolLipidsSphingolipids

Identifiers

PMID31985490
PMCPMC7269560
OpenAlexW3002410440

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.