Evidence map›Paper›PMID 32335337›Full record

ArticleInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2020

Hypertension prevalence in human coronavirus disease: the role of ACE system in infection spread and severity.

Gaetano Ruocco, Mauro Feola, Alberto Palazzuoli

Abstract readEditorial
In one paragraph

Article in International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Review
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  4. COVID-19 and RAAS inhibitors: is there a final conclusion?Iranian journal of microbiology · 2021
    Review
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  7. Review
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  9. Article
  10. Article
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  12. Risk factors for mortality among COVID-19 patients.Diabetes research and clinical practice · 2020
    Article
  13. 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

3 authors.

Gaetano RuoccoCardiology Section, Regina Montis Regalis Hospital, ASL-CN1, Mondovì, Cuneo, Italy. Electronic address: gmruocco@virgilio.it.
Mauro FeolaCardiology Section, Regina Montis Regalis Hospital, ASL-CN1, Mondovì, Cuneo, Italy.
Alberto PalazzuoliCardiovascular Diseases Unit, Department of Medical Sciences, Le Scotte Hospital, University of Siena, Siena, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prevalence of hypertension is high in patients affected by coronavirus disease 2019 (COVID-2019) and it appears to be related to an increased risk of mortality, as shown in many epidemiological studies. The angiotensin-converting enzyme (ACE) system is not uniformly expressed in all of the human races, and current differences could explain some of the geographical discrepancies in infection around the world. Furthermore, animal studies have shown that the ACE2 receptor is a potential pathway for host infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent of COVID-19. As two-thirds of hypertensive patients take ACE inhibitors/angiotensin receptor blockers, several concerns have been raised about the detrimental role of current antihypertensive drugs in COVID-19. This report summarizes the recent evidence for and against the administration of ACE blockade in the COVID-19 era.

Indexed as

BetacoronavirusAngiotensin-Converting Enzyme InhibitorsCoronavirus InfectionsCOVID-19HumansHypertensionPandemicsPeptidyl-Dipeptidase APneumonia, ViralPrevalenceSARS-CoV-2Severity of Illness IndexAngiotensin-Converting Enzyme InhibitorsPeptidyl-Dipeptidase A

Identifiers

PMID32335337
PMCPMC7180155

What OpenQuestion holds

Textmetadata
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.