Evidence map›Paper›PMID 35221082›Full record

ReviewCardiac electrophysiology clinics2022

COVID-19-Associated Endothelial Dysfunction and Microvascular Injury: From Pathophysiology to Clinical Manifestations.

Maria Paola Canale, Rossella Menghini, Eugenio Martelli, Massimo Federici

Abstract readReview
In one paragraph

Review in Cardiac electrophysiology clinics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 4 pooled it
–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

26 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  12. Cardiovascular Manifestations of Patients with Long COVID.Diagnostics (Basel, Switzerland) · 2025
    Article
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  20. Post-COVID-19 Condition and Pulmonary Embolism.Journal of multidisciplinary healthcare · 2024
    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

4 authors.

Maria Paola CanaleDepartment of Systems Medicine, University of Rome Tor Vergata, Rome, Italy; Center for Atherosclerosis, Policlinico Tor Vergata, Rome, Italy.
Rossella MenghiniDepartment of Systems Medicine, University of Rome Tor Vergata, Rome, Italy.
Eugenio MartelliDepartment of General and Specialist Surgery "P. Stefanini", Sapienza University of Rome, Italy; Division of Vascular Surgery, S. Anna and S. Sebastiano Hospital, Caserta, Italy.
Massimo FedericiDepartment of Systems Medicine, University of Rome Tor Vergata, Rome, Italy; Center for Atherosclerosis, Policlinico Tor Vergata, Rome, Italy. Electronic address: federicm@uniroma2.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus-19 disease (COVID-19) affects more people than previous coronavirus infections and has a higher mortality. Higher incidence and mortality can probably be explained by COVID-19 causative agent's greater affinity (about 10-20 times) for angiotensin-converting enzyme 2 (ACE2) receptor compared with other coronaviruses. Here, the authors first summarize clinical manifestations, then present symptoms of COVID-19 and the pathophysiological mechanisms underlying specific organ/system disease. The worse clinical outcome observed in COVID-19 patients with diabetes may be in part related to the increased ADAM17 activity and its unbalanced interplay with ACE2. Therefore, strategies aimed to inhibit ADAM17 activity may be explored to develop new effective therapeutic approaches.

Indexed as

COVID-19Vascular DiseasesHumansSARS-CoV-2ACE2ADAM17Covid-19 clinical manifestationsEndothelial dysfunctionSystemic inflammation

Identifiers

PMID35221082
PMCPMC8556628

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.