ReviewDiagnostics (Basel, Switzerland)2021
Chest Imaging of Patients with Sarcoidosis and SARS-CoV-2 Infection. Current Evidence and Clinical Perspectives.
Review in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 14 citations in OpenAlex.
- Influence of next-generation artificial intelligence on headache research, diagnosis and treatment: the junior editorial board members' vision - part 1.The journal of headache and pain · 2024Review
- Incidence, management and prognosis of new-onset sarcoidosis post COVID-19 infection.Sarcoidosis, vasculitis, and diffuse lung diseases : official journal of WASOG · 2024Article
- Sarcoidosis detected after COVID‑19 with T‑SPOT.TB positive: A case report.Experimental and therapeutic medicine · 2024Article
- Two in one: Overlapping CT findings of COVID-19 and underlying lung diseases.Clinical imaging · 2023Review
- Sarcoidosis and COVID-19: At the Cross-Road between Immunopathology and Clinical Manifestation.Biomedicines · 2022Review
- Can infections trigger sarcoidosis?Clinical imaging · 2022Article
- Review
- Evaluation of a Novel Content-Based Image Retrieval System for the Differentiation of Interstitial Lung Diseases in CT Examinations.Diagnostics (Basel, Switzerland) · 2021Article
- A review of the presentation and outcome of sarcoidosis in coronavirus disease 2019.Journal of clinical and translational research · 2021Review
- The Chameleon Behavior of Sarcoidosis.Journal of clinical medicine · 2021Article
- Clinical Features and Diagnosis of Cardiac Sarcoidosis.Journal of clinical medicine · 2021Review
- Sarcoidosis: An Old but Always Challenging Disease.Diagnostics (Basel, Switzerland) · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The recent COVID-19 pandemic has dramatically changed the world in the last months, leading to a serious global emergency related to a novel coronavirus infection that affects both sexes of all ages ubiquitously. Advanced age, cardiovascular comorbidity, and viral load have been hypothesized as some of the risk factors for severity, but their role in patients affected with other diseases, in particular immune disorders, such as sarcoidosis, and the specific interaction between these two diseases remains unclear. The two conditions might share similar imaging findings but have distinctive features that are here described. The recent development of complex imaging softwares, called deep learning techniques, opens new scenarios for the diagnosis and management.
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.