Evidence map›Paper›PMID 36001215›Full record

ReviewCurrent cardiology reports2022

Integrating Advanced Lipid Testing and Biomarkers in Assessment and Treatment.

Alexandra Vaio Sykes, Neeja Patel, Danielle Lee, Pam R Taub

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current cardiology reports, 2022. 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
0.2field-weighted citation impact, top 46% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

4 authors at 1 institution in 1 country.

Alexandra Vaio SykesInternal Medicine UC San Diego, La Jolla, 200 W. Arbor Drive, San Diego, CA, 92103-8425, USA. avsykes@health.ucsd.edu.ORCID 0000-0001-5225-4967
Neeja PatelUC San Diego School of Medicine, La Jolla, San Diego, CA, USA.
Danielle LeeFamily Medicine UC San Diego, La Jolla, San Diego, CA, USA.
Pam R TaubCardiovascular Medicine, UC San Diego, La Jolla, San Diego, CA, USA.
UC San Diego Health System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewOur ability to assess and stratify atherosclerotic disease risk in patients is evolving. Recent advances in advanced lipid testing have created opportunities for clinical application of novel biomarkers. RECENT

findingsUntil recently, LDL-C has served largely as the singular biomarker of ASCVD and guide for decisions in treatment for high-risk groups. There are important evolutions in the measurement of LDL-C but even still, the pathogenesis of atherosclerosis and ASCVD is not solely driven by LDL-C. As atherosclerosis is driven by multiple complex pathways including inflammation, it is important to expand our focus beyond LDL-C and utilize multiple biomarkers in the assessment of this disease process. Non-HDL, ApoB, LDL-P, Lp(a), and hsCRP are unique tools to aid in cardiac risk evaluation, especially in higher risk patients, though not limited to this population. A multifaceted approach to advanced lipid testing with novel biomarkers will enhance comprehensive ASCVD risk assessments.

Indexed as

Cholesterol, LDLHumansCholesterol, LDLAdvanced lipid testingAtherosclerotic cardiovascular diseaseBiomarkerLipoprotein(a)Low-density lipoprotein-C

Identifiers

PMID36001215
OpenAlexW4293180284

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.