Evidence map›Paper›PMID 35656698›Full record

ArticleJournal of medical virology2022

The clinical and bioinformatics analysis for the role of antihypertension drugs on mortality among patients with hypertension hospitalized with COVID-19.

Liyang Zhao, Yusi Li, Wenjuan Yi, Kuo Yan, Chao Yang, Sridhar Radhakrishnan, Rui Li, Ruirong Tan, Gang Fan, Mengyuan Dai and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of medical virology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 24% of its field
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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Epigenetic Signatures in Hypertension.Journal of personalized medicine · 2023
    Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 8 institutions in 5 countries.

Liyang ZhaoDepartment of Biomedical Sciences, Faculty of Health Sciences, University of Macau, Taipa, Macau, China.
Yusi LiDepartment of Biomedical Sciences, Faculty of Health Sciences, University of Macau, Taipa, Macau, China.
Wenjuan YiDepartment of Dermatology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Kuo YanInstitute of Cell and Neurobiology, Charité Medical University, Berlin, Germany.
Chao YangDepartment of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Sridhar RadhakrishnanCancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore.
Rui LiDepartment of Radiation Oncology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Ruirong TanTranslational Chinese Medicine Key Laboratory of Sichuan Province, Sichuan Institute for Translational Chinese Medicine, Sichuan Academy of Chinese Medicine Sciences, Chengdu, China.
Gang FanDepartment of Urology, Huazhong University of Science and Technology Union Shenzhen Hospital, The 6th Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen, China.
Mengyuan DaiDepartment of Gynecological Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Miao LiuDepartment of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0003-3365-0213
Ning-Yi ShaoDepartment of Biomedical Sciences, Faculty of Health Sciences, University of Macau, Taipa, Macau, China.
University of Macau · MOBrigham and Women's Hospital · USWuhan University · CNCharité - Universitätsmedizin Berlin · DENational University of Singapore · SGShenzhen University Health Science Center · CNSichuan Academy of Traditional Chinese Medicine · CNUniversity of Electronic Science and Technology of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Comorbidities such as hypertension could exacerbate symptoms of coronaviral disease 2019 (COVID)-19 infection. Patients with hypertension may receive both anti-COVID-19 and antihypertension therapies when infected with COVID-19. However, it is not clear how different classes of anti-hypertension drugs impact the outcome of COVID-19 treatment. Herein, we explore the association between the inpatient use of different classes of anti-hypertension drugs and mortality among patients with hypertension hospitalized with COVID-19. We totally collected data from 278 patients with hypertension diagnosed with COVID-19 admitted to hospitals in Wuhan from February 1 to April 1, 2020. A retrospective study was conducted and single-cell RNA-sequencing (RNA-Seq) analysis of treatment-related genes was performed. The results showed that Angiotensin II receptor blocker (ARB) and calcium channel blocker (CCB) drugs significantly increased the survival rate but the use of angiotensin-converting enzyme inhibitor/β-block/diuretic drugs did not affect the mortality caused by COVID-19. Based on the analysis of four public data sets of single-cell RNA-Seq on COVID-19 patients, we concluded that JUN, LST1 genes may play a role in the effect of ARB on COVID-19-related mortality, whereas CALM1 gene may contribute to the effect of CCB on COVID-19-related mortality. Our results provide guidance on the selection of antihypertension drugs for hypertensive patients infected with COVID-19.

Indexed as

COVID-19COVID-19 Drug TreatmentHypertensionAngiotensin-Converting Enzyme InhibitorsAngiotensin Receptor AntagonistsAntihypertensive AgentsCalcium Channel BlockersComputational BiologyHumansRetrospective StudiesSARS-CoV-2Angiotensin-Converting Enzyme InhibitorsAngiotensin Receptor AntagonistsAntihypertensive AgentsCalcium Channel BlockersBiostatistics & BioinformaticsInfectious bronchitis virusSARS coronavirusVirus classification

Identifiers

PMID35656698
PMCPMC9347732
OpenAlexW4281705157

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.