Evidence map›Paper›PMID 27177240›Full record

Trial reportClinical cardiology2016

Association Between Very Low Levels of High-Density Lipoprotein Cholesterol and Long-term Outcomes of Patients With Acute Coronary Syndrome Treated Without Revascularization: Insights From the TRILOGY ACS Trial.

Emil Hagström, Matthew T Roe, Gail Hafley, Megan L Neely, Mandeep S Sidhu, Kenneth J Winters, Dorairaj Prabhakaran, Harvey D White, Paul W Armstrong, Keith A A Fox and 3 more

Abstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Clinical cardiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

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

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

  1. Antiplatelet agents for chronic kidney disease.The Cochrane database of systematic reviews · 2022
    Pooled it
  2. Pooled it
  3. Article
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

13 authors.

Emil HagströmDepartment of Medical Sciences, Uppsala Clinical Research Center, Uppsala University, Uppsala, Sweden.
Matthew T RoeDivision of Cardiovascular Medicine, Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina.
Gail HafleyDepartment of Statistics, Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina.
Megan L NeelyDepartment of Statistics, Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina.
Mandeep S SidhuDepartment of Medicine, Albany Stratton VA Medical Center and Albany Medical Center, Albany Medical College, Albany, New York.
Kenneth J WintersEli Lilly and Company (Winters), Indianapolis, Indiana.
Dorairaj PrabhakaranCentre for Chronic Disease Control and Public Health Foundation of India, New Delhi, India.
Harvey D WhiteGreen Lane Cardiovascular Service, Auckland City Hospital, Auckland, New Zealand.
Paul W ArmstrongDivision of Cardiology, Department of Medicine/Canadian VIGOUR Centre, University of Alberta, Edmonton, Alberta, Canada.
Keith A A FoxCentre for Cardiovascular Science, University of Edinburgh, Edinburgh, Scotland, United Kingdom.
E Magnus OhmanDivision of Cardiovascular Medicine, Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina.
William E BodenDepartment of Medicine, Albany Stratton VA Medical Center and Albany Medical Center, Albany Medical College, Albany, New York.
TRILOGY ACS Investigators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLow levels of high-density lipoprotein cholesterol (HDL-C; <40 mg/dL) are associated with increased risk of cardiovascular events, but it is unclear whether lower thresholds (<30 mg/dL) are associated with increased hazard. HYPOTHESIS: Very low levels of HDL-C may provide prognostic information in acute coronary syndrome (ACS) patients treated medically without revascularization.

methodsWe examined data from 9064/9326 ACS patients enrolled in the TRILOGY ACS trial. Participants were randomized to clopidogrel or prasugrel plus aspirin. Study treatments continued for 6 to 30 months. Relationships between baseline HDL-C and the composite of cardiovascular death, myocardial infarction (MI), or stroke, and individual endpoints of death (cardiovascular and all-cause), MI, and stroke, adjusted for baseline characteristics through 30 months, were analyzed. The HDL-C was evaluated as a dichotomous variable-very low (<30 mg/dL) vs higher (≥30 mg/dL)-and continuously.

resultsMedian baseline HDL-C was 42 mg/dL (interquartile range, 34-49 mg/dL) with little variation over time. Frequency of the composite endpoint was similar for very low vs higher baseline HDL-C, with no risk difference between groups (hazard ratio [HR]: 1.13, 95% confidence interval [CI]: 0.95-1.34). Similar findings were seen for MI and stroke. However, risks for cardiovascular (HR: 1.42, 95% CI: 1.13-1.78) and all-cause death (HR: 1.36, 95% CI: 1.11-1.67) were higher in patients with very low baseline HDL-C.

conclusionsMedically managed ACS patients with very low baseline HDL-C levels have higher risk of long-term cardiovascular and all-cause death but similar risks for nonfatal ischemic outcomes vs patients with higher baseline HDL-C.

Indexed as

Acute Coronary SyndromeAgedAngina, UnstableAspirinBiomarkersCholesterol, HDLClopidogrelDown-RegulationDrug Therapy, CombinationDyslipidemiasFemaleHumansKaplan-Meier EstimateMaleMiddle AgedMyocardial InfarctionAspirinBiomarkersCholesterol, HDLClopidogrelPlatelet Aggregation InhibitorsPrasugrel HydrochlorideTiclopidine

Identifiers

PMID27177240
PMCPMC6490832

What OpenQuestion holds

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Registered trials

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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.