Evidence map›Paper›PMID 38276246›Full record

ArticleJournal of personalized medicine2024

Investigation of the Therapeutic Potential of Organic Nitrates in Mortality Reduction Following Acute Myocardial Infarction in Hyperlipidemia Patients: A Population-Based Cohort Study.

An-Sheng Lee, Chung-Lieh Hung, Thung-Shen Lai, Ching-Hu Chung

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Article in Journal of personalized medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 2 institutions in 1 country.

An-Sheng LeeDepartment of Medicine, Mackay Medical College, New Taipei City 25245, Taiwan.ORCID 0000-0001-8176-3269
Chung-Lieh HungDivision of Cardiology, Departments of Internal Medicine, MacKay Memorial Hospital, Taipei 10449, Taiwan.
Thung-Shen LaiInstitute of Biomedical Sciences, Mackay Medical College, New Taipei City 25245, Taiwan.
Ching-Hu ChungDepartment of Medicine, Mackay Medical College, New Taipei City 25245, Taiwan.ORCID 0000-0002-3096-8974
Mackay Medical University · TWMackay Memorial Hospital · TW

Funding

Mackay Medical College 109-CF-G1-01, MMC-RD-110-CF-G001-01, MMC-RD-110-1B-P014, MMC-RD-110-CF-G001-01 and MMC-RD-112-1E-P001
6 · The paper itself

Abstract

backgroundDyslipidemia is a known risk factor for cardiac dysfunction, and lipid-lowering therapy with statins reduces symptoms and reduces hospitalization related to left ventricular heart failure. Acute myocardial infarction (AMI) is a cause of morbidity and mortality worldwide. In this study, we aimed to determine the real-world AMI treatment drug combination used in Taiwan by using the NHI database to understand the treatment outcomes of current clinical medications prescribed for hyperlipidemia patients with AMI.

methodsUsing the NHI Research Database (NHIRD), we conducted a retrospective cohort study that compared different treatments for AMI in hyperlipidemia patients in the period from 2016 to 2018. We compared the survival outcomes between those treated with and without organic nitrates in this cohort.

resultsWe determined that most hyperlipidemia patients were aged 61-70 y (29.95-31.46% from 2016 to 2018), and the annual AMI risk in these patients was <1% (0.42-0.68% from 2016 to 2018). The majority of hyperlipidemia patients with AMI were women, and 25.64% were aged 61-70 y. Receiving organic nitrates was associated with lower all-cause mortality rates (HR, 95% CI,

conclusionsThe survival benefit was significantly greater in patients treated with organic nitrates than in those treated without organic nitrates, especially when combined with diuretics. A combination of organic nitrates could be a better treatment option for hyperlipidemia patients with AMI.

Indexed as

acute myocardial infarctionall-cause mortalitybeta-blockershyperlipidemiaorganic nitrates

Identifiers

PMID38276246
PMCPMC10820449
OpenAlexW4391105926

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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.