Evidence map›Paper›PMID 24732920›Full record

SynthesisJournal of the American Heart Association2014

Relations of change in plasma levels of LDL-C, non-HDL-C and apoB with risk reduction from statin therapy: a meta-analysis of randomized trials.

George Thanassoulis, Ken Williams, Keying Ye, Robert Brook, Patrick Couture, Patrick R Lawler, Jacqueline de Graaf, Curt D Furberg, Allan Sniderman

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Journal of the American Heart Association, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 2 pooled it
10.9field-weighted citation impact, top 1% 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

64 citing papers in PubMed, 2 syntheses or guidelines pooled it, 144 citations in OpenAlex.

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4 more citing papers are in PubMed but not listed here.

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

9 authors at 7 institutions in 3 countries.

George ThanassoulisPreventive and Genomic Cardiology, McGill University Health Centre, Department of Medicine, Montreal, Quebec, Canada.
Ken Williams
Keying Ye
Robert Brook
Patrick Couture
Patrick R Lawler
Jacqueline de Graaf
Curt D Furberg
Allan Sniderman
McGill University Health Centre · CAThe University of Texas Health Science Center at San Antonio · USHarvard University · USRadboud University Nijmegen · NLUniversité Laval · CAUniversity of Michigan–Ann Arbor · USWake Forest University · US

Funding

Canadian Institutes of Health Research MOP-119380Canadian Institutes of Health Research MOP-126033
6 · The paper itself

Abstract

backgroundIdentifying the best markers to judge the adequacy of lipid-lowering treatment is increasingly important for coronary heart disease (CHD) prevention given that several novel, potent lipid-lowering therapies are in development. Reductions in LDL-C, non-HDL-C, or apoB can all be used but which most closely relates to benefit, as defined by the reduction in events on statin treatment, is not established. METHODS AND

resultsWe performed a random-effects frequentist and Bayesian meta-analysis of 7 placebo-controlled statin trials in which LDL-C, non-HDL-C, and apoB values were available at baseline and at 1-year follow-up. Summary level data for change in LDL-C, non-HDL-C, and apoB were related to the relative risk reduction from statin therapy in each trial. In frequentist meta-analyses, the mean CHD risk reduction (95% CI) per standard deviation decrease in each marker across these 7 trials were 20.1% (15.6%, 24.3%) for LDL-C; 20.0% (15.2%, 24.7%) for non-HDL-C; and 24.4% (19.2%, 29.2%) for apoB. Compared within each trial, risk reduction per change in apoB averaged 21.6% (12.0%, 31.2%) greater than changes in LDL-C (P<0.001) and 24.3% (22.4%, 26.2%) greater than changes in non-HDL-C (P<0.001). Similarly, in Bayesian meta-analyses using various prior distributions, Bayes factors (BFs) favored reduction in apoB as more closely related to risk reduction from statins compared with LDL-C or non-HDL-C (BFs ranging from 484 to 2380).

conclusionsUsing both a frequentist and Bayesian approach, relative risk reduction across 7 major placebo-controlled statin trials was more closely related to reductions in apoB than to reductions in either non-HDL-C or LDL-C.

Indexed as

Apolipoproteins BBayes TheoremBiomarkersCardiovascular DiseasesCholesterolCholesterol, HDLDown-RegulationDyslipidemiasEndpoint DeterminationHumansHydroxymethylglutaryl-CoA Reductase InhibitorsRandomized Controlled Trials as TopicRisk FactorsTime FactorsTreatment OutcomeApolipoproteins BBiomarkersCholesterolCholesterol, HDLHydroxymethylglutaryl-CoA Reductase InhibitorsapoBLDL‐Cmeta‐analysisnon‐HDL‐Cstatins

Identifiers

PMID24732920
PMCPMC4187506
OpenAlexW2140314387

What OpenQuestion holds

Texttitle and abstract
LicenceCC BY-NC
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.