Evidence map›Paper›PMID 29038168›Full record

ArticleCirculation2018

Fasting Versus Nonfasting and Low-Density Lipoprotein Cholesterol Accuracy.

Vasanth Sathiyakumar, Jihwan Park, Asieh Golozar, Mariana Lazo, Renato Quispe, Eliseo Guallar, Roger S Blumenthal, Steven R Jones, Seth S Martin

Registry-linked trialAbstract readComparative StudyValidation Study
PubMed Publisher
In one paragraph

Article in Circulation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01698489 (The Very Large Database of Lipids), which is not on this map. Cited by 47 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 2 pooled it
–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.

NCT01698489 active not recruitingnot on this map

The Very Large Database of Lipids (VLDL): A Clinical Laboratory Big Data Project

TypeobservationalSponsorJohns Hopkins UniversityRan2006 to 2030Enrolled5,051,467ConditionsLipid Disorders and Lipid Measurement
3 · Its place in the literature

Who cites it

47 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  10. Cardiovascular disease lipids and lipoproteins biomarker standardization.Critical reviews in clinical laboratory sciences · 2025
    Review
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  13. Serum PFAS and lipid concentrations in Ecuadorian adolescents.Archives of environmental & occupational health · 2025
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Vasanth SathiyakumarCiccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD (V.S., R.Q., R.S.B., S.R.J., S.S.M.).
Jihwan ParkDepartment of Epidemiology (J.P., A.G., M.L., E.G.).
Asieh GolozarDepartment of Epidemiology (J.P., A.G., M.L., E.G.).
Mariana LazoDepartment of Epidemiology (J.P., A.G., M.L., E.G.).
Renato QuispeCiccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD (V.S., R.Q., R.S.B., S.R.J., S.S.M.).
Eliseo GuallarDepartment of Epidemiology (J.P., A.G., M.L., E.G.).
Roger S BlumenthalCiccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD (V.S., R.Q., R.S.B., S.R.J., S.S.M.).
Steven R JonesCiccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD (V.S., R.Q., R.S.B., S.R.J., S.S.M.).
Seth S MartinCiccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD (V.S., R.Q., R.S.B., S.R.J., S.S.M.). smart100@jhmi.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent recommendations favoring nonfasting lipid assessment may affect low-density lipoprotein cholesterol (LDL-C) estimation. The novel method of LDL-C estimation (LDL-C

methodsWe used a US cross-sectional sample of 1 545  634 patients (959 153 fasting ≥10-12 hours; 586 481 nonfasting) from the second harvest of the Very Large Database of Lipids study to assess for the first time the impact of fasting status on novel LDL-C accuracy. Rapid ultracentrifugation was used to directly measure LDL-C content (LDL-C

resultsIn both fasting and nonfasting samples, accuracy was higher with the novel method across all clinical LDL-C categories (range, 87%-94%) compared with the Friedewald estimation (range, 71%-93%;

conclusionsNovel adaptable LDL-C estimation performs better in nonfasting samples than the fixed Friedewald estimation, with a particular accuracy advantage in settings of low LDL-C and high triglycerides. In addition to stimulating further study, these results may have immediate relevance for guideline committees, laboratory leadership, clinicians, and patients. CLINICAL

trial registrationURL: https://www.clinicaltrials.gov. Unique identifier: NCT01698489.

Indexed as

Data AccuracyAdultAgedBiomarkersBlood Chemical AnalysisCholesterol, LDLCross-Sectional StudiesDatabases, FactualFastingFemaleHumansMaleMiddle AgedPredictive Value of TestsSpecimen HandlingTriglyceridesBiomarkersCholesterol, LDLTriglyceridescholesterol, LDLdata accuracyfasting

Identifiers

PMID29038168

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.