Evidence map›Paper›PMID 32498230›Full record

ReviewJournal of clinical medicine2020

Acute Coronary Syndromes and Covid-19: Exploring the Uncertainties.

Marco Schiavone, Cecilia Gobbi, Giuseppe Biondi-Zoccai, Fabrizio D'Ascenzo, Alberto Palazzuoli, Alessio Gasperetti, Gianfranco Mitacchione, Maurizio Viecca, Massimo Galli, Francesco Fedele and 2 more

Open access · goldAbstract readReview
In one paragraph

Review in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed
2.7field-weighted citation impact, top 6% 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

63 citing papers in PubMed, 123 citations in OpenAlex.

  1. Trial
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  5. Observational
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  7. Article
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  9. Review
  10. Mesenchymal Stem Cells in the Treatment of COVID-19.International journal of molecular sciences · 2023
    Review
  11. Article
  12. Review
  13. Myocardial infarction and viral triggers: what do we know by now?European heart journal supplements : journal of the European Society of Cardiology · 2023
    Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. Review

3 more citing papers are in PubMed but not listed here.

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

12 authors at 6 institutions in 1 country.

Marco SchiavoneDepartment of Cardiology, ASST-Fatebenefratelli Sacco, Luigi Sacco Hospital, 20157 Milan, Italy.ORCID 0000-0003-0720-3380
Cecilia GobbiUniversity of Milan, 20122 Milan, Italy.
Giuseppe Biondi-ZoccaiDepartment of Medical-Surgical Sciences and Biotechnologies, Sapienza University of Rome, 04100 Latina, Italy.
Fabrizio D'AscenzoDepartment of Medical Sciences, Division of Cardiology, AOU Città della Salute e della Scienza, University of Turin, 10126 Turin, Italy.
Alberto PalazzuoliCardiovascular Diseases Unit, Department of Medical Sciences, AOUS Le Scotte Hospital, University of Siena, 53100 Siena, Italy.
Alessio GasperettiDepartment of Cardiology, ASST-Fatebenefratelli Sacco, Luigi Sacco Hospital, 20157 Milan, Italy.
Gianfranco MitacchioneDepartment of Cardiology, ASST-Fatebenefratelli Sacco, Luigi Sacco Hospital, 20157 Milan, Italy.ORCID 0000-0002-3774-0104
Maurizio VieccaDepartment of Cardiology, ASST-Fatebenefratelli Sacco, Luigi Sacco Hospital, 20157 Milan, Italy.
Massimo GalliDepartment of Infectious Diseases, ASST-Fatebenefratelli Sacco, Luigi Sacco Hospital, 20157 Milan, Italy.
Francesco FedeleDepartment of Clinical Internal, Anesthesiological and Cardiovascular Science, Sapienza University of Rome, 00161 Rome, Italy.
Massimo ManconeDepartment of Clinical Internal, Anesthesiological and Cardiovascular Science, Sapienza University of Rome, 00161 Rome, Italy.
Giovanni Battista ForleoDepartment of Cardiology, ASST-Fatebenefratelli Sacco, Luigi Sacco Hospital, 20157 Milan, Italy.ORCID 0000-0001-8895-8915
University of Milan · ITLuigi Sacco Hospital · ITSapienza University of Rome · ITClinica Mediterranea · ITUniversity of Siena · ITUniversity of Turin · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since an association between myocardial infarction (MI) and respiratory infections has been described for influenza viruses and other respiratory viral agents, understanding possible physiopathological links between severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and acute coronary syndromes (ACS) is of the greatest importance. The initial data suggest an underestimation of ACS cases all over the world, but acute MI still represents a major cause of morbidity and mortality worldwide and should not be overshadowed during the coronavirus disease (Covid-19) pandemic. No common consensus regarding the most adequate healthcare management policy for ACS is currently available. Indeed, important differences have been reported between the measures employed to treat ACS in China during the first disease outbreak and what currently represents clinical practice across Europe and the USA. This review aims to discuss the pathophysiological links between MI, respiratory infections, and Covid-19; epidemiological data related to ACS at the time of the Covid-19 pandemic; and learnings that have emerged so far from several catheterization labs and coronary care units all over the world, in order to shed some light on the current strategies for optimal management of ACS patients with confirmed or suspected SARS-CoV-2 infection.

Indexed as

acute coronary syndromesCovid-19drug treatmentinfectious diseasemyocardial infarctionpathophysiologypercutaneous coronary interventionrespiratory infectionsSTEMIthrombolysis

Identifiers

PMID32498230
PMCPMC7356537
OpenAlexW3031315052

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.