Evidence mapPaperPMID 35322889Full record

SynthesisBritish journal of clinical pharmacology2022

Cardiovascular drugs and COVID-19 clinical outcomes: a systematic review and meta-analysis of randomized controlled trials.

Innocent G Asiimwe, Sudeep P Pushpakom, Richard M Turner, Ruwanthi Kolamunnage-Dona, Andrea L Jorgensen, Munir Pirmohamed

Open access · hybridAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in British journal of clinical pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 5 pooled it
1.1field-weighted citation impact, top 22% 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

9 citing papers in PubMed, 5 syntheses or guidelines pooled it, 11 citations in OpenAlex.

  1. Pooled it
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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 at 1 institution in 1 country.

Innocent G AsiimweThe Wolfson Centre for Personalised Medicine, MRC Centre for Drug Safety Science, Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK.ORCID 0000-0002-1196-1822
Sudeep P PushpakomThe Wolfson Centre for Personalised Medicine, MRC Centre for Drug Safety Science, Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK.
Richard M TurnerThe Wolfson Centre for Personalised Medicine, MRC Centre for Drug Safety Science, Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK.ORCID 0000-0002-7315-679X
Ruwanthi Kolamunnage-DonaDepartment of Health Data Science, Institute of Population Health Sciences, University of Liverpool, United Kingdom Institute of Population Health Sciences, University of Liverpool, Liverpool, UK.
Andrea L JorgensenDepartment of Health Data Science, Institute of Population Health Sciences, University of Liverpool, United Kingdom Institute of Population Health Sciences, University of Liverpool, Liverpool, UK.
Munir PirmohamedThe Wolfson Centre for Personalised Medicine, MRC Centre for Drug Safety Science, Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK.ORCID 0000-0002-7534-7266
University of Liverpool · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo update our previously reported systematic review and meta-analysis of observational studies on cardiovascular drug exposure and COVID-19 clinical outcomes by focusing on newly published randomized controlled trials (RCTs).

methodsMore than 500 databases were searched between 1 November 2020 and 2 October 2021 to identify RCTs that were published after our baseline review. One reviewer extracted data with other reviewers verifying the extracted data for accuracy and completeness.

resultsAfter screening 22 414 records, we included 24 and 21 RCTs in the qualitative and quantitative syntheses, respectively. The most investigated drug classes were angiotensin-converting enzyme inhibitors (ACEIs)/angiotensin receptor blocker (ARBs) and anticoagulants, investigated by 10 and 11 studies respectively. In meta-analyses, ACEI/ARBs did not affect hospitalization length (mean difference -0.42, 95% confidence interval [CI] -1.83; 0.98 d, n = 1183), COVID-19 severity (risk ratio/RR 0.90, 95% CI 0.71; 1.15, n = 1661) or mortality (risk ratio [RR] 0.92, 95% CI 0.58; 1.47, n = 1646). Therapeutic anticoagulation also had no effect (hospitalization length mean difference -0.29, 95% CI -1.13 to 0.56 d, n = 1449; severity RR 0.86, 95% CI 0.70; 1.04, n = 2696; and, mortality RR 0.93, 95% CI 0.77; 1.13, n = 5689). Other investigated drug classes were antiplatelets (aspirin, 2 trials), antithrombotics (sulodexide, 1 trial), calcium channel blockers (amlodipine, 1 trial) and lipid-modifying drugs (atorvastatin, 1 trial).

conclusionModerate- to high-certainty RCT evidence suggests that cardiovascular drugs such as ACEIs/ARBs are not associated with poor COVID-19 outcomes, and should therefore not be discontinued. These cardiovascular drugs should also not be initiated to treat or prevent COVID-19 unless they are needed for an underlying currently approved therapeutic indication.

Indexed as

Cardiovascular AgentsCOVID-19 Drug TreatmentAngiotensin-Converting Enzyme InhibitorsAntihypertensive AgentsHumansObservational Studies as TopicRandomized Controlled Trials as TopicAngiotensin-Converting Enzyme InhibitorsAntihypertensive AgentsCardiovascular Agentscardiovascular drugsCOVID-19living systematic reviewmeta-analysisRCTs

Identifiers

PMID35322889
PMCPMC9111446
OpenAlexW4220782814

What Socratic 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 Socratic graph.