Evidence map›Paper›PMID 40786389›Full record

ArticleCureus2025

Carvedilol vs. Metoprolol Effectiveness in Patients With Left Ventricular Assist Devices: A TriNetX Analysis.

Karldon I Nwaezeapu, Godbless Ajenaghughrure, Ekow Essien, Smith Frimpong, Chukwuemeka C Aghasili, God-Dowell O Odukudu, Henna Qadri, Yash B Patel, Andrew Ndakotsu, Taraneh Zamani

Abstract read
In one paragraph

Article in Cureus, 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

10 authors.

Karldon I NwaezeapuInternal Medicine, Trinity Health Ann Arbor Hospital, Ypsilanti, USA.
Godbless AjenaghughrureInternal Medicine, Good Samaritan Hospital, Cincinnati, USA.
Ekow EssienInternal Medicine, Aurora Health Care, Milwaukee, USA.
Smith FrimpongInternal Medicine, Geisinger Health System, Wilkes-Barre, USA.
Chukwuemeka C AghasiliInternal Medicine, Geisinger Health System, Wilkes-Barre, USA.
God-Dowell O OdukuduInternal Medicine, Delta State University, Abraka, NGA.
Henna QadriInternal Medicine, Memorial Healthcare System, Pembroke Pines, USA.
Yash B PatelInternal Medicine, Trinity Health Ann Arbor Hospital, Ypsilanti, USA.
Andrew NdakotsuInternal Medicine, Medstar Health, Baltimore, USA.
Taraneh ZamaniInternal Medicine, Good Samaritan Hospital, Cincinnati, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBeta-blockers are a cornerstone of heart failure management, but comparative effectiveness data for different beta-blockers in patients with mechanical circulatory support remain limited. This study aimed to compare clinical outcomes between carvedilol and metoprolol in patients with left ventricular assist devices (LVADs).

methodsWe performed a retrospective cohort study using the TriNetX Research Network (Cambridge, MA: TriNetX, LLC), a global federated health research platform providing access to electronic medical records across 104 healthcare organizations. Patients with left ventricular assist devices (ICD-10 code Z95.81) who were prescribed either carvedilol or metoprolol were identified. After propensity score matching for baseline characteristics, including cardiac and non-cardiac comorbidities, cohorts of 5,166 patients each receiving carvedilol or metoprolol were analyzed. The primary outcome was all-cause mortality. Secondary outcomes included heart failure exacerbation, cardiac arrest, cardiogenic shock, sepsis, acute kidney injury, atrial fibrillation, ventricular tachycardia, and sick sinus syndrome. Outcomes were analyzed using Kaplan-Meier survival analysis with hazard ratios (HR) and 95% confidence intervals (CI) over a one-year follow-up period.

resultsIn this propensity-matched cohort study, patients receiving carvedilol demonstrated significantly lower all-cause mortality compared to the metoprolol group (15.4% vs. 17.0%; HR: 0.879, 95% CI: 0.799-0.968; p=0.009). Carvedilol was also associated with reduced incidence of cardiac arrest (5.0% vs. 6.1%; HR: 0.799, 95% CI: 0.677-0.942; p=0.007), cardiogenic shock (17.7% vs. 21.0%; HR: 0.817, 95% CI: 0.748-0.892; p<0.001), sepsis (8.8% vs. 10.4%; HR: 0.821, 95% CI: 0.724-0.930; p=0.002), and atrial fibrillation (27.3% vs. 30.7%; HR: 0.850, 95% CI: 0.792-0.914; p<0.001). However, patients in the carvedilol group experienced higher rates of heart failure exacerbation (71.3% vs. 65.9%; HR: 1.149, 95% CI: 1.097-1.204; p<0.001) and acute kidney injury (31.8% vs. 28.1%; HR: 1.132, 95% CI: 1.055-1.214; p=0.001). No significant difference was observed in the incidence of sick sinus syndrome between the two groups (8.6% vs. 8.8%; HR: 0.951, 95% CI: 0.834-1.084; p=0.450). The difference in ventricular tachycardia rates was not clinically significant despite statistical significance (23.2% vs. 22.9%; HR: 0.991, 95% CI: 0.915-1.074; p<0.001).

conclusionIn patients with left ventricular assist devices, carvedilol was associated with lower all-cause mortality and reduced incidence of several important cardiovascular complications compared to metoprolol, despite higher rates of heart failure exacerbation and renal complications. These findings suggest that carvedilol may be preferred over metoprolol in selected LVAD patients, though individualized consideration of heart failure status and renal function remains important. Further prospective studies are warranted to confirm these findings and optimize beta-blocker selection in this high-risk population.

Indexed as

advanced heart failurebeta blockerscarvedilolheart failureleft ventricular assist device (lvad)lvadmechanical circulatory supportmetoprololmortality

Identifiers

PMID40786389
PMCPMC12334974

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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.