Evidence map›Paper›PMID 32864034›Full record

ArticleCurrent cardiovascular risk reports2019

The Use of Risk Enhancing Factors to Personalize ASCVD Risk Assessment: Evidence and Recommendations from the 2018 AHA/ACC Multi-society Cholesterol Guidelines.

Anandita Agarwala, Jing Liu, Christie M Ballantyne, Salim S Virani

Open access · greenAbstract read
In one paragraph

Article in Current cardiovascular risk reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

16 citing papers in PubMed, 28 citations in OpenAlex.

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  10. Coronary Artery Restenosis in Women by History of Preeclampsia.Journal of the American Heart Association · 2022
    Article
  11. Review
  12. Evaluation and management of blood lipids through a woman's life cycle.American journal of preventive cardiology · 2022
    Review
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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 3 institutions in 1 country.

Anandita AgarwalaDivision of Cardiology, Washington University School of Medicine, 660 S. Euclid, Campus Box 8086, St. Louis, MO.
Jing LiuSection of Cardiology, Department of Medicine, Baylor College of Medicine, Houston TX.
Christie M BallantyneSection of Cardiology, Department of Medicine, Baylor College of Medicine, Houston TX.
Salim S ViraniSection of Cardiology, Department of Medicine, Baylor College of Medicine, Houston TX.
Baylor College of Medicine · USMichael E. DeBakey VA Medical Center · USWashington University in St. Louis · US

Funding

Profiling Cardiovascular Events and Biomarkers in the Very Old to Improve Personalized Approaches for the Prevention of Cardiac and Vascular DiseaseR01HL134320 · NHLBI · BAYLOR COLLEGE OF MEDICINE · PI BALLANTYNE, CHRISTIE MITCHELL, SELVIN, ELIZABETH · 2016 to 2019
$3.1M
NHLBI NIH HHS R01 HL134320
6 · The paper itself

Abstract

purpose of reviewIn 2018, the AHA/ACC multi-society Cholesterol Guidelines introduced the novel concept of risk-enhancing factors to be used as a supplement to the pooled cohort risk equations to personalize atherosclerotic cardiovascular disease risk assessment in primary prevention. In this review, we discuss the rationale and evidence behind each of the risk- enhancing factors to help clinicians perform a more personalized cardiovascular risk assessment. RECENT

findingsThe risk-enhancing factors are high-risk features that may guide the use of lipid-lowering therapy particularly in intermediate and select borderline risk patients. For the purpose of this review, these factors are divided into 5 categories: (i) race and genetics, (ii) conditions specific to women (iii) lipid related risk, (iv) concurrent high-risk medical conditions, and (v) biomarkers. SUMMARY: The addition of the risk-enhancing factors to the pooled cohort equations provides a more individualized and comprehensive approach to cardiovascular disease risk assessment.

Indexed as

atherosclerotic cardiovascular diseasebiomarkerslipidrace and geneticsrisk assessmentRisk-enhancing factors

Identifiers

PMID32864034
PMCPMC7451216
OpenAlexW2944963941

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.