ReviewWorld journal of radiology2021
Imaging spectrum of abdominal manifestations of COVID-19.
Review in World journal of radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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.
Who cites it
9 citing papers in PubMed, 17 citations in OpenAlex.
- Abdominal Imaging Findings in Laboratory-Confirmed COVID-19 Patients: A Retrospective Observational Study.Cureus · 2023Article
- Diagnostic and Therapeutic Radiology of the GI Tract, Liver, and Pancreas in Patients with COVID.Gastroenterology clinics of North America · 2023Review
- Liver injury in COVID-19: Clinical features, potential mechanisms, risk factors and clinical treatments.World journal of gastroenterology · 2023Review
- Findings of Abdominal Imaging in Patients with COVID-19 - Part 1: Hollow Organs.Middle East journal of digestive diseases · 2022Review
- Special Issue "COVID-19: Diagnostic Imaging and Beyond-Part II".Journal of clinical medicine · 2022Article
- Extracorporeal membrane oxygenation (ECMO) in COVID-19 patients: a pocket guide for radiologists.La Radiologia medica · 2022Review
- An Imaging Overview of COVID-19 ARDS in ICU Patients and Its Complications: A Pictorial Review.Diagnostics (Basel, Switzerland) · 2022Review
- Comparative imaging findings among different primary betacoronaviruses.Polish journal of radiology · 2022Review
- Imaging of Hematological Patients in the Era of COVID-19.Acta haematologica · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Coronavirus disease 2019 (COVID-19) has posed a serious threat to global public health with its rapid spread, high fatality, and severe burden on health care providers all over the world. Although COVID-19 has been established as a respiratory tract infection, it can manifest with gastrointestinal symptoms as a consequence of direct infection by the virus or due to inflammation-mediated cytotoxicity. It has been observed that COVID-19 patients presenting with gastrointestinal symptoms tend to progress to a severe form of disease with increased morbidity and mortality, thus indicating the need for timely management. COVID-19 manifests with a wide spectrum of radiologic findings on gastrointestinal tract imaging, encompassing bowel abnormalities, hepato-biliary and pancreatic involvement, vascular occlusion, and solid organ infarction. Early recognition of these imaging features can facilitate timely treatment of COVID-19 associated gastrointestinal tract complications and may prompt the diagnosis of COVID-19 in patients with atypical disease manifestations. The aim of this article is to provide an overview of the various gastrointestinal imaging manifestations that can be encountered in patients with COVID-19, with an emphasis on early diagnosis of the disease as well as treatment related complications.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.