Evidence map›Paper›PMID 34049454›Full record

ArticleThe American surgeon2023

Arterial Thrombosis and Acute Limb Ischemia as a Complication of COVID-19 Infection.

Vladimir Y Khryshchanovich, Nicolay A Rogovoy, Evgeniy V Nelipovich

Open access · greenAbstract readCase Reports
In one paragraph

Article in The American surgeon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 52% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Thromboembolic Events in the Era of COVID-19: A Detailed Narrative Review.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2025
    Review
  2. 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 at 1 institution in 1 country.

Vladimir Y KhryshchanovichDepartment of Surgical Diseases, Belarusian State Medical University, Minsk, Belarus.
Nicolay A RogovoyDepartment of Surgical Diseases, Belarusian State Medical University, Minsk, Belarus.
Evgeniy V NelipovichDepartment of Surgical Diseases, Belarusian State Medical University, Minsk, Belarus.
Belarusian State Medical University · BY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 refers to viral respiratory infections and is the predisposing factor for the development of venous and arterial thrombotic events due to a pronounced inflammatory response, platelet activation, endothelial dysfunction, and stasis. Recent studies have confirmed a high incidence of thromboembolic events, especially in the group of patients with severe coronavirus pneumonia. There have been an increasing number of reports of peripheral arterial thrombosis as well. Most cases of arterial thrombosis are noted in critical ill patients in intensive care setting. However, an increase of adverse arterial events was also noted in cases of asymptomatic or mild forms of COVID-19. Herein, we report a case of patient with asymptomatic SARS-CoV-2 infection, who developed a threatening lower limb ischemia. Our own clinical observation suggests that COVID-19-associated arterial thrombosis can be successfully treated by embolectomy, administration of in-hospital parenteral anticoagulation, and continuation of antithrombotic therapy with a "vascular" dose of rivaroxaban after discharge.

Indexed as

Arterial Occlusive DiseasesCOVID-19ThrombosisAnticoagulantsHumansIschemiaSARS-CoV-2Anticoagulantsacute limb ischemiacoronavirus disease 2019SARS-CoV-2thrombosis

Identifiers

PMID34049454
PMCPMC10251170
OpenAlexW3164493991

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.