Evidence map›Paper›PMID 24122913›Full record

ArticleClinical cardiology2013

Very large database of lipids: rationale and design.

Seth S Martin, Michael J Blaha, Peter P Toth, Parag H Joshi, John W McEvoy, Haitham M Ahmed, Mohamed B Elshazly, Kristopher J Swiger, Erin D Michos, Peter O Kwiterovich and 5 more

Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in Clinical cardiology, 2013. 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 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
4.9field-weighted citation impact, top 5% 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.

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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

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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

15 authors at 4 institutions in 1 country.

Seth S MartinJohns Hopkins Ciccarone Center for the Prevention of Heart Disease, Johns Hopkins Medicine, Baltimore, Maryland.
Michael J Blaha
Peter P Toth
Parag H Joshi
John W McEvoy
Haitham M Ahmed
Mohamed B Elshazly
Kristopher J Swiger
Erin D Michos
Peter O Kwiterovich
Krishnaji R Kulkarni
Joseph Chimera
Christopher P Cannon
Roger S Blumenthal
Steven R Jones
Johns Hopkins University · USJohns Hopkins Medicine · USBrigham and Women's Hospital · USCGH Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Blood lipids have major cardiovascular and public health implications. Lipid-lowering drugs are prescribed based in part on categorization of patients into normal or abnormal lipid metabolism, yet relatively little emphasis has been placed on: (1) the accuracy of current lipid measures used in clinical practice, (2) the reliability of current categorizations of dyslipidemia states, and (3) the relationship of advanced lipid characterization to other cardiovascular disease biomarkers. To these ends, we developed the Very Large Database of Lipids (NCT01698489), an ongoing database protocol that harnesses deidentified data from the daily operations of a commercial lipid laboratory. The database includes individuals who were referred for clinical purposes for a Vertical Auto Profile (Atherotech Inc., Birmingham, AL), which directly measures cholesterol concentrations of low-density lipoprotein, very low-density lipoprotein, intermediate-density lipoprotein, high-density lipoprotein, their subclasses, and lipoprotein(a). Individual Very Large Database of Lipids studies, ranging from studies of measurement accuracy, to dyslipidemia categorization, to biomarker associations, to characterization of rare lipid disorders, are investigator-initiated and utilize peer-reviewed statistical analysis plans to address a priori hypotheses/aims. In the first database harvest (Very Large Database of Lipids 1.0) from 2009 to 2011, there were 1 340 614 adult and 10 294 pediatric patients; the adult sample had a median age of 59 years (interquartile range, 49-70 years) with even representation by sex. Lipid distributions closely matched those from the population-representative National Health and Nutrition Examination Survey. The second harvest of the database (Very Large Database of Lipids 2.0) is underway. Overall, the Very Large Database of Lipids database provides an opportunity for collaboration and new knowledge generation through careful examination of granular lipid data on a large scale.

Indexed as

Databases as TopicResearch DesignAdolescentAdultAgedBiomarkersChildData Interpretation, StatisticalData MiningDyslipidemiasFemaleHumansHypolipidemic AgentsIn Vitro TechniquesLipidsMaleBiomarkersHypolipidemic AgentsLipids

Identifiers

PMID24122913
PMCPMC6649455
OpenAlexW1722951830

What Socratic 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 Socratic graph.