ArticleInternational journal of medical sciences2021
Correlation between ground-glass opacity on pulmonary CT and the levels of inflammatory cytokines in patients with moderate-to-severe COVID-19 pneumonia.
Article in International journal of medical sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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
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Who cites it
6 citing papers in PubMed, 16 citations in OpenAlex.
- Spatial Immune Model of Alveolar Lung Infection (SIMALI) Identifies Structural Determinants of Lung Inflammation.Research square · 2026Article
- Association of human leukocyte antigen B genotypes with COVID-19 severity in Egyptian patients.Scientific reports · 2026Article
- Ground-Glass Opacities in the Access Route and Biopsy in Highly Perfused Dependent Areas of the Lungs as Risk Factors for Pulmonary Hemorrhage During CT-Guided Lung Biopsy: A Retrospective Study.Tomography (Ann Arbor, Mich.) · 2025Article
- Effect of prone positioning on gas exchange according to lung morphology in patients with acute respiratory distress syndrome.Acute and critical care · 2022Article
- Prognostic value of computed tomographic findings in acute respiratory distress syndrome and the response to prone positioning.BMC pulmonary medicine · 2022Article
- Predicting the aggravation of coronavirus disease-19 pneumonia using chest computed tomography scans.PloS one · 2022Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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.