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ArticleCardiovascular drugs and therapy2025

Beneficial Effects of Angiotensin II Receptor Blockers on Mortality in Patients with COVID-19: A Retrospective Study from 2019 to 2020 in China.

Ke Xu, Wu He, Bo Yu, Kaineng Zhong, Da Zhou, Dao Wen Wang

Registry-linked trialAbstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Cardiovascular drugs and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05615792 (Observational Cohort of The Effects of Clinical Indicators, Drug Use and Genotypes on The Clinical Prognosis of COVID-19 Patients in Hubei Province), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

NCT05615792 completednot on this map

Observational Cohort of The Effects of Clinical Indicators, Drug Use and Genotypes on The Clinical Prognosis of COVID-19 Patients in Hubei Province

TypeobservationalSponsorDao Wen WangRan2020 to 2024Enrolled68,000Conditions2019 Novel Coronavirus DiseaseArmsNo intervention
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
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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

6 authors.

Ke Xu *Division of Cardiology, Department of Internal Medicine, Hubei Key Laboratory of Genetics and Molecular Mechanisms of Cardiological Disorders, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095# Jiefang Ave., Wuhan, 430030, China.
Wu He *Division of Cardiology, Department of Internal Medicine, Hubei Key Laboratory of Genetics and Molecular Mechanisms of Cardiological Disorders, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095# Jiefang Ave., Wuhan, 430030, China.ORCID 0000-0003-3085-0359
Bo YuDivision of Cardiology, Department of Internal Medicine, Hubei Key Laboratory of Genetics and Molecular Mechanisms of Cardiological Disorders, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095# Jiefang Ave., Wuhan, 430030, China.
Kaineng ZhongHealth Commission of Hubei Provincial, Wuhan, 430079, China.
Da ZhouHealth Commission of Hubei Provincial, Wuhan, 430079, China.
Dao Wen WangDivision of Cardiology, Department of Internal Medicine, Hubei Key Laboratory of Genetics and Molecular Mechanisms of Cardiological Disorders, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095# Jiefang Ave., Wuhan, 430030, China. dwwang@tjh.tjmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic has become a serious global public health problem. Although the use of angiotensin-converting enzyme inhibitors (ACEIs) and angiotensin II receptor type 1 blockers (ARBs) has been recommended in patients with COVID-19 and cardiovascular diseases (CVDs), according to the results of some small-sample retrospective analyses, there remains a lack of sufficient evidence to validate their efficacy. This multicenter retrospective study investigated whether ACEI/ARB administration was beneficial in patients with COVID-19 and CVDs.

methodsA total of 11,231 patients with confirmed COVID-19 and CVDs, from 138 hospitals in Hubei Province, were included in this multicenter retrospective study. We compared the clinical characteristics and outcomes between the ARB and non-ARB groups and analyzed the risk factors for in-hospital death using univariate and multivariate Cox regression analyses and Kaplan-Meier curves.

resultsIn the multivariate Cox regression model, after adjusting for age, gender, comorbidities, and in-hospital medications, ARB use was associated with lower all-cause mortality (adjusted HR, 0.53; 95% CI, 0.38-0.73; P < 0.001). After propensity score-matched analysis, the adjusted HR for the use of ARB associated with all-cause mortality was 0.62 (95% CI, 0.40-0.88; P = 0.02). Further subgroup analyses found that the adjusted HRs for the use of ARB associated with all-cause mortality were 0.52 (95% CI, 0.30-0.89; P = 0.016), 0.37 (95% CI, 0.21-0.64; P < 0.001), 0.42 (95% CI, 0.28-0.64; P < 0.001), and 0.55 (95% CI, 0.37-0.84; P = 0.005) in patients with heart failure, diabetes, and hypercholesterolemia, and severe COVID-19, respectively.

conclusionsARB administration was significantly associated with a lower risk of all-cause mortality in patients with COVID-19 and CVDs.

trial registrationClinicalTrials.gov NCT05615792. https://www. CLINICALTRIALS: gov/ct2/show/NCT05615792.

Indexed as

Angiotensin-Converting Enzyme InhibitorsAngiotensin II Type 1 Receptor BlockersAngiotensin Receptor AntagonistsCardiovascular DiseasesCOVID-19COVID-19 Drug TreatmentAgedChinaFemaleHospital MortalityHumansMaleMiddle AgedRetrospective StudiesRisk FactorsSARS-CoV-2Angiotensin-Converting Enzyme InhibitorsAngiotensin II Type 1 Receptor BlockersAngiotensin Receptor AntagonistsARBCardiovascular diseasesCOVID-19In-hospital mortalityRAAS inhibitorSARS-CoV-2

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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.