Evidence map›Paper›PMID 39996621›Full record

SynthesisAdvances in respiratory medicine2025

A Meta-Analysis of the Impact of Using Angiotensin-Converting Enzyme Inhibitors (ACEIs) or Angiotensin II Receptor Blockers (ARBs) on Mortality, Severity, and Healthcare Resource Utilization in Patients with COVID-19.

Ruijuan Li, Jie Zhang, Liang Ren

Abstract readMeta-Analysis
In one paragraph

Synthesis in Advances in respiratory medicine, 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. Review
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

3 authors.

Ruijuan LiDepartment of Forensic Medicine, Tongji Medical College of Huazhong University of Science and Technology, Wuhan 430032, China.
Jie ZhangDepartment of Forensic Medicine, Tongji Medical College of Huazhong University of Science and Technology, Wuhan 430032, China.
Liang RenDepartment of Forensic Medicine, Tongji Medical College of Huazhong University of Science and Technology, Wuhan 430032, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe primary objective of this study is to explore the potential link between the utilization of angiotensin-converting enzyme inhibitors (ACEIs) or angiotensin II receptor blockers (ARBs) and its impact on mortality, disease severity, and healthcare resource utilization in individuals diagnosed with COVID-19. We aim to establish a solid theoretical foundation for safe and effective clinical medications.

methodsWe conducted a comprehensive search of various databases, including CNKI, PubMed, Science, Cell, Springer, Nature, Web of Science, and Embase. We also traced the literature of the included studies to ensure a thorough analysis of the available evidence. After applying a set of inclusion and exclusion criteria, we ultimately included a total of 41 articles in our analysis. To determine the overall effect size for dichotomous variables, we used the Mantel-Haenszel odds ratio in random effect models. For continuous variables, we calculated the inverse variance SMD using random effect models. To assess the outcomes and heterogeneity, we considered

resultsThe results of our analysis indicated that the use of ACEIs or ARBs did not significantly influence mortality (OR = 1.10, 95% CI 0.83-1.46,

conclusionsThe use of ACEIs and ARBs is not significantly correlated with mortality, severity, or healthcare resource utilization in patients with COVID-19, indicating safe clinical use of the medications.

Indexed as

Angiotensin-Converting Enzyme InhibitorsAngiotensin Receptor AntagonistsCOVID-19COVID-19 Drug TreatmentPatient Acceptance of Health CareHumansSARS-CoV-2Severity of Illness IndexAngiotensin-Converting Enzyme InhibitorsAngiotensin Receptor Antagonistsangiotensin-converting enzyme inhibitorsangiotensin II receptor blockersclinical medicinecoronavirus disease 2019severe acute respiratory syndrome coronavirus 2

Identifiers

PMID39996621
PMCPMC11852372

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.