Evidence map›Paper›PMID 29455255›Full record

ReviewCurrent atherosclerosis reports2018

Fasting or Non-fasting Lipids for Atherosclerotic Cardiovascular Disease Risk Assessment and Treatment?

Faisal Rahman, Roger S Blumenthal, Steven R Jones, Seth S Martin, Tyler J Gluckman, Seamus P Whelton

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current atherosclerosis reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. 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

6 authors at 3 institutions in 1 country.

Faisal RahmanCiccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, 600 North Wolfe Street, Blalock 524 A, Baltimore, MD, 21287, USA.
Roger S BlumenthalCiccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, 600 North Wolfe Street, Blalock 524 A, Baltimore, MD, 21287, USA.
Steven R JonesCiccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, 600 North Wolfe Street, Blalock 524 A, Baltimore, MD, 21287, USA.
Seth S MartinCiccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, 600 North Wolfe Street, Blalock 524 A, Baltimore, MD, 21287, USA.
Tyler J GluckmanCiccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, 600 North Wolfe Street, Blalock 524 A, Baltimore, MD, 21287, USA.
Seamus P WheltonCiccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, 600 North Wolfe Street, Blalock 524 A, Baltimore, MD, 21287, USA. seamus.whelton@jhmi.edu.
Johns Hopkins Medicine · USJohns Hopkins University · USAlaska Heart and Vascular Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewDyslipidemia is a major modifiable risk factor for atherosclerotic cardiovascular disease (ASCVD); however, lipid testing for risk assessment and treatment surveillance has been underutilized. Several factors likely account for this, including the common practice of measuring lipid levels in the fasting state, which often necessitates that patients return for an additional visit. In this review, we evaluate potential advantages and cautions associated with measuring lipids in the non-fasting state. RECENT

findingsThere is similar performance with the use of either fasting or non-fasting total cholesterol and HDL cholesterol in ASCVD risk assessment. Observational studies demonstrate that in comparison to fasting levels, non-fasting triglycerides are approximately 20% higher on average, although the magnitude of difference is subject to substantial inter-patient variability. Higher triglycerides can lead to the under-estimation of low-density lipoprotein cholesterol (LDL-C) by approximately 10 mg/dL or more when calculated using the Friedewald equation. This is especially clinically relevant at low LDL-C levels, although a novel validated algorithm for LDL-C estimation largely overcomes this limitation. Non-fasting lipid assessment is reasonable in many clinical circumstances given that ASCVD risk prediction is similar using fasting or non-fasting lipid values and because LDL-C can be accurately estimated using modern methods. Allowing the option for non-fasting lipid assessment can reduce a barrier to lipid testing and can facilitate a more convenient assessment of ASCVD risk with the ultimate potential effect of reducing the global burden of ASCVD. However, certain patients such as those with severe hypertriglyceridemias or high-risk patients being treated to low LDL-C levels may still need fasting lipid panels performed for precise diagnosis and to standardize therapeutic monitoring.

Indexed as

AtherosclerosisFastingHumansLipidsObservational Studies as TopicRisk AssessmentRisk FactorsLipidsCardiovascular diseaseFastingLipidsRisk

Identifiers

PMID29455255
OpenAlexW2793126218

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.