ReviewAmerican journal of nuclear medicine and molecular imaging2020
Mapping COVID-19 functional sequelae: the perspective of nuclear medicine.
Review in American journal of nuclear medicine and molecular imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed, 12 citations in OpenAlex.
- Anthracycline cardiotoxicity: current methods of diagnosis and possible role ofCardio-oncology (London, England) · 2023Review
- Oncology and cardiology positron emission tomography/computed tomography faced with COVID-19: A review of available literature data.Frontiers in medicine · 2022Review
- Dynamic PET imaging with ultra-low-activity ofEuropean journal of nuclear medicine and molecular imaging · 2021Article
- First clinical experience of 106 cm, long axial field-of-view (LAFOV) PET/CT: an elegant balance between standard axial (23 cm) and total-body (194 cm) systems.European journal of nuclear medicine and molecular imaging · 2021Article
- First-in-human study of anEuropean journal of nuclear medicine and molecular imaging · 2021Article
- Article
- Scalable, Micro-Neutralization Assay for Qualitative Assessment of SARS-CoV-2 (COVID-19) Virus-Neutralizing Antibodies in Human Clinical Samples.bioRxiv : the preprint server for biology · 2021Article
- Mapping COVID-19 with nuclear imaging: from infection to functional sequelae.American journal of nuclear medicine and molecular imaging · 2021Article
- New wine in old bottles:American journal of nuclear medicine and molecular imaging · 2021Article
- Life post-COVID-19: symptoms and chronic complications.Sao Paulo medical journal = Revista paulista de medicinaArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Severe acute respiratory syndrome coronavirus 2 infection is capable of affecting several organs. Direct viral toxicity, pro-inflammatory and pro-thrombotic induction, endothelial damage, immune imbalance, and dysregulation of the renin-angiotensin-aldosterone system are the mechanisms underlying the viral potential of multiple organ damage. The impairment of four organs stands out among severe patients: lung, heart, kidney, and endothelium. The nuclear medicine field holds accurate and safe exam techniques, such as positron emission tomography-computed tomography and scintigraphy, that allow the anatomophysiological study of the majority of human organ systems. By choosing the most appropriate method and radiopharmaceutical, analyzing the presence of inflammation, fibrosis, changes in perfusion, and function of desired organs is possible. Therefore, its use in the monitoring of patients with coronavirus disease 2019 becomes relevant, especially for monitoring sequelae. In this review, we discuss the use of Nuclear Medicine in the detection, monitoring, and therapeutic evaluation of pulmonary and extrapulmonary sequelae by coronavirus disease 2019.
Indexed as
Identifiers
33329934PMC7724276W3111201356What Socratic 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 Socratic graph.