Evidence map›Paper›PMID 18706278›Full record

ReviewCurrent atherosclerosis reports2008

Is it LDL particle size or number that correlates with risk for cardiovascular disease?

H Robert Superko, Radhika R Gadesam

Registry-linked trialAbstract readReview
PubMed Publisher
In one paragraph

Review in Current atherosclerosis reports, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03165812 (Single Anastomosis Duodeno Jejunal Bypass With Sleeve Gastrectomy), which is not on this map. Cited by 35 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 2 pooled it
7.4field-weighted citation impact, top 3% 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.

NCT03165812 naunknown statusnot on this mapstarted 2017, after this paper: background citation

Single Anastomosis Duodeno Jejunal Bypass With Sleeve Gastrectomy (SADJB-SG) Versus Intensive Medical Therapy (IMT) in the Treatment of Type 2 Diabetes Mellitus Among Asian Patients With BMI 23.5 - 30 kg/m2: A Clinical Trial

TypeinterventionalSponsorUniversiti Putra MalaysiaRan2017 to 2019Enrolled84ConditionsDiabetes Mellitus, Type 2, OverweightArmsSADJB-SG group, IMT group
3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 2 syntheses or guidelines pooled it, 91 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

2 authors at 1 institution in 1 country.

H Robert SuperkoCenter for Genomics and Human Health, Saint Joseph's Translational Research Institute, 5673 Peachtree Dunwoody Road NE, Suite 675, Atlanta, GA 30342, USA. rsuperko@sjha.org
Radhika R Gadesam
Saint Joseph’s Translational Research Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The role of low-density lipoprotein cholesterol (LDL-C) in the pathogenesis of cardiovascular disease (CVD) and the clinical benefit of lowering LDL-C in high-risk patients is well established. What remains controversial is whether we are using the best measure(s) of LDL characteristics to identify all individuals who are at CVD risk or if they would benefit from specific therapies. Despite the successful LDL-C reduction trials, substantial numbers of patients continue to have clinical events in the treatment groups. The size of LDL particles and assessment of the number of LDL particles (LDL-Num) have been suggested as a more reliable method of atherogenicity. Each LDL particle has one apoprotein B-100 measure attached; therefore, determination of whole plasma apoprotein B can be considered the best measure of LDL-Num. Because the cholesterol content per LDL particle exhibits large interindividual variation, the information provided by LDL-C and LDL-Num is not equivalent. Individuals with the same level of LDL-C may have higher or lower numbers of LDL particles and, as a result, may differ in terms of absolute CVD risk. LDL particle size and number provide independent measures of atherogenicity and are strong predictors of CVD.

Indexed as

Apolipoprotein B-100AtherosclerosisCardiovascular DiseasesCell CountHumansLipoproteins, LDLParticle SizeRisk AssessmentTriglyceridesUltracentrifugationApolipoprotein B-100Lipoproteins, LDLTriglycerides

Identifiers

PMID18706278
OpenAlexW1963494995

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.