Evidence map›Paper›PMID 31292301›Full record

Trial reportJCI insight2019

Changes in plasma lipids predict pravastatin efficacy in secondary prevention.

Kaushala S Jayawardana, Piyushkumar A Mundra, Corey Giles, Christopher K Barlow, Paul J Nestel, Elizabeth H Barnes, Adrienne Kirby, Peter Thompson, David R Sullivan, Zahir H Alshehry and 14 more

Open access · goldAbstract readClinical Trial, Phase IIIMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in JCI insight, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
2.2field-weighted citation impact, top 13% 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 22 citations in OpenAlex.

  1. [Efficacy and safety of atorvastatin in major cardiovascular events: Meta-analysis].Revista medica del Instituto Mexicano del Seguro Social · 2023
    Pooled it
  2. Pooled it
  3. Identifying the Lipidomic Effects of a Rare Loss-of-Function Deletion inCirculation. Genomic and precision medicine · 2021
    Trial
  4. Lipidomics, Microbiota, and IntestinalInternational journal of molecular sciences · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. Phospholipid biomarkers of coronary heart disease.Journal of pharmaceutical health care and sciences · 2024
    Review
  9. Article
  10. Article
  11. Statins-From Fungi to Pharmacy.International journal of molecular sciences · 2023
    Review
  12. Review
  13. Article
  14. Article
  15. Review
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

24 authors at 9 institutions in 3 countries.

Kaushala S JayawardanaBaker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
Piyushkumar A MundraBaker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
Corey GilesBaker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
Christopher K BarlowBaker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
Paul J NestelBaker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
Elizabeth H BarnesNational Health and Medical Research Council of Australia (NHMRC) Clinical Trials Centre, University of Sydney, Sydney, New South Wales, Australia.
Adrienne KirbyNational Health and Medical Research Council of Australia (NHMRC) Clinical Trials Centre, University of Sydney, Sydney, New South Wales, Australia.
Peter ThompsonSir Charles Gairdner Hospital, Perth, Western Australia, Australia.
David R SullivanRoyal Prince Alfred Hospital, Sydney, New South Wales, Australia.
Zahir H AlshehryBaker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
Natalie A MellettBaker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
Kevin HuynhBaker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
Malcolm J McConvilleDepartment of Biochemistry and Molecular Biology, University of Melbourne, Parkville, Victoria, Australia.
Sophia ZoungasThe George Institute for Global Health, Sydney, New South Wales, Australia.
Graham S HillisThe George Institute for Global Health, Sydney, New South Wales, Australia.
John ChalmersThe George Institute for Global Health, Sydney, New South Wales, Australia.
Mark WoodwardThe George Institute for Global Health, Sydney, New South Wales, Australia.
Ian C MarschnerNational Health and Medical Research Council of Australia (NHMRC) Clinical Trials Centre, University of Sydney, Sydney, New South Wales, Australia.
Gerard WongBaker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
Bronwyn A KingwellBaker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
John SimesNational Health and Medical Research Council of Australia (NHMRC) Clinical Trials Centre, University of Sydney, Sydney, New South Wales, Australia.
Andrew M TonkinMonash University, Melbourne, Victoria, Australia.
Peter J MeikleBaker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
LIPID Study Investigators
Baker Heart and Diabetes Institute · AUNational Health and Medical Research Council · AUThe George Institute for Global Health · AUMonash University · AURoyal Perth Hospital · AURoyal Prince Alfred Hospital · AUSir Charles Gairdner Hospital · AUThe George Institute for Global Health · GBThe University of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUNDStatins have pleiotropic effects on lipid metabolism. The relationship between these effects and future cardiovascular events is unknown. We characterized the changes in lipids upon pravastatin treatment and defined the relationship with risk reduction for future cardiovascular events.METHODSPlasma lipids (n = 342) were measured in baseline and 1-year follow-up samples from a Long-Term Intervention with Pravastatin in Ischaemic Disease (LIPID) study subcohort (n = 4991). The associations of changes in lipids with treatment and cardiovascular outcomes were investigated using linear and Cox regression. The effect of treatment on future cardiovascular outcomes was examined by the relative risk reduction (RRR).RESULTSPravastatin treatment was associated with changes in 206 lipids. Species containing arachidonic acid were positively associated while phosphatidylinositol species were negatively associated with pravastatin treatment. The RRR from pravastatin treatment for cardiovascular events decreased from 23.5% to 16.6% after adjustment for clinical risk factors and change in LDL-cholesterol (LDL-C) and to 3.0% after further adjustment for the change in the lipid ratio PI(36:2)/PC(38:4). Change in PI(36:2)/PC(38:4) mediated 58% of the treatment effect. Stratification of patients into quartiles of change in PI(36:2)/PC(38:4) indicated no benefit of pravastatin in the fourth quartile.CONCLUSIONThe change in PI(36:2)/PC(38:4) predicted benefit from pravastatin, independent of change in LDL-C, demonstrating its potential as a biomarker for monitoring the clinical benefit of statin treatment in secondary prevention.TRIAL REGISTRATIONAustralian New Zealand Clinical Trials Registry identifier ACTRN12616000535471.FUNDINGBristol-Myers Squibb; NHMRC grants 211086, 358395, and 1029754; NHMRC program grant 1149987; NHMRC fellowship 108026; and the Operational Infrastructure Support Program of the Victorian government of Australia.

Indexed as

AgedAustraliaCholesterol, HDLCholesterol, LDLFemaleFollow-Up StudiesHumansHydroxymethylglutaryl-CoA Reductase InhibitorsLipid MetabolismMaleMiddle AgedMyocardial IschemiaPravastatinPrognosisRisk FactorsSecondary PreventionCholesterol, HDLCholesterol, LDLHydroxymethylglutaryl-CoA Reductase InhibitorsPravastatinCardiovascular diseaseCholesterolClinical practiceClinical TrialsMetabolism

Identifiers

PMID31292301
PMCPMC6629250
OpenAlexW2958497677

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.