Evidence map›Paper›PMID 41238350›Full record

ArticleOpen heart2025

Assessment of β-blocker use and all-cause mortality in patients with myocardial infarction: a real-world analysis of the NHANES 1999-2018 database.

Wang Ling, Hongde Li, Li Liu, Yansun Sun, Yannv Qu

Abstract read
In one paragraph

Article in Open heart, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

5 authors.

Wang LingGeriatrics Department, Peking University Shenzhen Hospital, Guangdong, China.
Hongde LiDepartment of Rehabilitation Therapy, Beijing City University, Beijing, China.ORCID http://orcid.org/0009-0002-1363-4929
Li LiuGeriatrics Department, Peking University Shenzhen Hospital, Guangdong, China.
Yansun SunGeriatrics Department, Peking University Shenzhen Hospital, Guangdong, China.
Yannv QuShenzhen University, Guangdong, China nacyququ@163.com.ORCID http://orcid.org/0000-0003-3499-5731

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the association between β-blocker use and all-cause mortality in a real-world cohort of patients with myocardial infarction (MI).

methodsThis study included 2308 patients with MI from the National Health and Nutrition Examination Survey (NHANES) 1999-2018. The primary outcome was all-cause mortality. Multiple approaches were employed to control for confounding, including multivariable Cox regression, propensity score matching and inverse probability of treatment weighting.

resultsBased on data from 2308 patients with MI in the NHANES 1999-2018, with a mean follow-up of 84.6 months, this study evaluated the association between β-blocker use and all-cause mortality. The unadjusted analysis showed a significant protective effect (HR 0.81, 95% CI 0.68 to 0.96, p=0.0178). However, after multivariable adjustment for demographic, clinical and socioeconomic factors, as well as propensity score-based methods and inverse probability of treatment weighting, no significant association was observed (e.g., adjusted HR 1.04, 95% CI 0.87 to 1.25, p=0.6733). Stratified analyses did not reveal significant effect modification by any covariate (all p interaction value >0.05).

conclusionAfter adjustment for measured confounders, this analysis found no significant association between β-blocker use and all-cause mortality in this real-world MI cohort.

Indexed as

Adrenergic beta-AntagonistsMyocardial InfarctionNutrition SurveysAgedCause of DeathDatabases, FactualFemaleFollow-Up StudiesHumansMaleMiddle AgedPropensity ScoreRetrospective StudiesRisk AssessmentRisk FactorsSurvival RateAdrenergic beta-AntagonistsCoronary Artery DiseaseMyocardial InfarctionPharmacology, Clinical

Identifiers

PMID41238350
PMCPMC12636978

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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.