Evidence map›Paper›PMID 33367526›Full record

ArticleEuropean heart journal2021

Low-density lipoprotein cholesterol reduction and statin intensity in myocardial infarction patients and major adverse outcomes: a Swedish nationwide cohort study.

Jessica Schubert, Bertil Lindahl, Håkan Melhus, Henrik Renlund, Margrét Leosdottir, Ali Yari, Peter Ueda, Stefan James, Stephanie R Reading, Paul J Dluzniewski and 3 more

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in European heart journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05844566 (Implementation of a Decision Support System and Its Effect on Early Optimisation of Lipid-Lowering Therapies in Patients With Acute Coronary Syndrome), which is not on this map. Cited by 86 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed, 4 pooled it
19.4field-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.

NCT05844566 nacompletednot on this mapstarted 2023, after this paper: background citation

Implementation of a Decision Support System and Its Effect on Early Optimisation of Lipid-Lowering Therapies in Patients With Acute Coronary Syndrome: a Cluster Randomised Controlled Trial

TypeinterventionalSponsorImperial College LondonRan2023 to 2024Enrolled1,139ConditionsAcute Coronary Syndrome, Myocardial InfarctionArmsDecision Support System (DSS)
3 · Its place in the literature

Who cites it

86 citing papers in PubMed, 4 syntheses or guidelines pooled it, 181 citations in OpenAlex.

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 4 institutions in 2 countries.

Jessica SchubertDepartment of Medical Sciences, Uppsala University, Uppsala, Sweden.
Bertil LindahlDepartment of Medical Sciences, Uppsala University, Uppsala, Sweden.
Håkan MelhusDepartment of Medical Sciences, Uppsala University, Uppsala, Sweden.
Henrik RenlundUppsala Clinical Research Center, Uppsala, Sweden.
Margrét LeosdottirDepartment of Cardiology, Skåne University Hospital, Malmö, Sweden.
Ali YariDepartment of Clinical Sciences, Karolinska Institutet, Danderyd Hospital, Stockholm, Sweden.
Peter UedaClinical Epidemiology Division, Department of Medicine, Karolinska Institutet, Stockholm, Sweden.
Stefan JamesDepartment of Medical Sciences, Uppsala University, Uppsala, Sweden.
Stephanie R ReadingAmgen, Inc, Thousand Oaks, CA, USA.
Paul J DluzniewskiAmgen, Inc, Thousand Oaks, CA, USA.
Andrew W HamerAmgen, Inc, Thousand Oaks, CA, USA.
Tomas JernbergDepartment of Clinical Sciences, Karolinska Institutet, Danderyd Hospital, Stockholm, Sweden.
Emil HagströmDepartment of Medical Sciences, Uppsala University, Uppsala, Sweden.
Uppsala University · SEAmgen (United States) · USKarolinska Institutet · SELund University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsClinical trials have demonstrated that a reduction in low-density lipoprotein cholesterol (LDL-C) reduces cardiovascular (CV) events. This has, however, not yet been shown in a real-world setting. We aimed to investigate the association between LDL-C changes and statin intensity with prognosis after a myocardial infarction (MI). METHODS AND

resultsPatients admitted with MI were followed for mortality and major CV events. Changes in LDL-C between the MI and a 6- to 10-week follow-up visit were analysed. The associations between quartiles of LDL-C change and statin intensity with outcomes were assessed using adjusted Cox regression analyses. A total of 40 607 patients were followed for a median of 3.78 years. The median change in LDL-C was a 1.20 mmol/L reduction. Patients with larger LDL-C reduction (1.85 mmol/L, 75th percentile) compared with a smaller reduction (0.36 mmol/L, 25th percentile) had lower hazard ratios (HR) for all outcomes (95% confidence interval): composite of CV mortality, MI, and ischaemic stroke 0.77 (0.70-0.84); all-cause mortality 0.71 (0.63-0.80); CV mortality 0.68 (0.57-0.81); MI 0.81 (0.73-0.91); ischaemic stroke 0.76 (0.62-0.93); heart failure hospitalization 0.73 (0.63-0.85), and coronary artery revascularization 0.86 (0.79-0.94). Patients with ≥50% LDL-C reduction using high-intensity statins at discharge had a lower incidence of all outcomes compared with those using a lower intensity statin.

conclusionsLarger early LDL-C reduction and more intensive statin therapy after MI were associated with a reduced hazard of all CV outcomes and all-cause mortality. This supports clinical trial data suggesting that earlier lowering of LDL-C after an MI confers the greatest benefit.

Indexed as

Brain IschemiaHydroxymethylglutaryl-CoA Reductase InhibitorsMyocardial InfarctionStrokeCohort StudiesHumansSwedenTreatment OutcomeHydroxymethylglutaryl-CoA Reductase InhibitorsCardiovascular mortalityCardiovascular outcomesLDL-CMyocardial infarctionSecondary preventionStatin

Identifiers

PMID33367526
PMCPMC7954251
OpenAlexW3115254109

What OpenQuestion holds

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LicenceCC BY-NC
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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.