Evidence map›Paper›PMID 36345461›Full record

ArticleRadiology case reports2023

Renal artery thrombosis as a long-term complication of COVID-19.

Naser Gjonbalaj, Safet Uka, Elmi Olluri, Admir Sulovari, Murat Vishaj, Lendita Kamberi, Hamez Berisha, Enkelejda Gjonbalaj

Open access · goldAbstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in Radiology case reports, 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
0.9field-weighted citation impact, top 24% 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, 6 citations in OpenAlex.

  1. Review
  2. Review
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

8 authors at 2 institutions in 1 country.

Naser GjonbalajRadiology Clinic, University Clinical Center of Kosovo, Prishtina 10000, Republic of Kosovo, XK.
Safet UkaRadiology Clinic, University Clinical Center of Kosovo, Prishtina 10000, Republic of Kosovo, XK.
Elmi OlluriVascular Surgery Clinic, University Clinical Center of Kosovo, Prishtina 10000, Republic of Kosovo, XK.
Admir SulovariDepartment of Radiology, American Hospital of Kosovo, Rruga Shkupi, Nr. 25, Pristina 10000, Republic of Kosovo, XK.
Murat VishajDepartment of Anesthesiology, American Hospital of Kosovo, Rruga Shkupi, Nr. 25, Pristina 10000, Republic of Kosovo, XK.
Lendita KamberiDepartment of Radiology, American Hospital of Kosovo, Rruga Shkupi, Nr. 25, Pristina 10000, Republic of Kosovo, XK.
Hamez BerishaDepartment of Emergency, American Hospital of Kosovo, Rruga Shkupi, Nr. 25, Pristina 10000, Republic of Kosovo, XK.
Enkelejda GjonbalajDepartment of Pharmacy, University Clinical Center of Kosovo, Prishtina 10000, Republic of Kosovo, XK.
Rochester Institute of Technology Kosovo · XKUniversity Clinical Center of Kosovo · XK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) has been extensively associated with microvascular and macrovascular thrombosis. Several reports have demonstrated a link between COVID-19 and pulmonary embolism, deep vein thrombosis, myocardial infarction, stroke, and aortic thrombosis. Renal artery thrombosis is of special interest because of its life-threatening consequences, such as acute kidney injury and renal infarction. We present a case of left renal artery thrombosis as a long-term complication of COVID-19. Moreover, we demonstrate the effectiveness of interventional radiology to regain vascularization of the affected kidney.

Indexed as

COVID-19Interventional radiologyRenal artery thrombosis

Identifiers

PMID36345461
PMCPMC9631237
OpenAlexW4308486643

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.