ReviewJournal of thoracic disease2025
The post-COVID-19 pulmonary sequelae: manifestations, mechanisms and treatment strategies.
Review in Journal of thoracic disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
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.
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Who cites it
8 citing papers in PubMed.
- The cell with many faces: lung macrophage plasticity and function in response to environmental and pathogenic insults.Physiological reviews · 2026Review
- Translational insights into Long-COVID: evaluation of preclinical animal models along the lung-brain-immune axis with focus on Golden Syrian Hamsters.Journal of neuroinflammation · 2026Review
- Long-term occupational exposure to volatile organic compounds and progressive pulmonary function decline: a 5-year cohort study in the printing industry.Scientific reports · 2026Article
- Functional alterations due to post-COVID-19 lung lesions - lessons from a multicenter V/Q SPECT/CT based registry.European journal of nuclear medicine and molecular imaging · 2026Article
- Association of nasopharyngealMicrobiology spectrum · 2026Article
- Redox signaling in chronic airway diseases: pathogenic mechanisms and therapeutic implications.Frontiers in physiology · 2026Review
- Metabolic, viral, and immune phenotypes in long COVID.Frontiers in endocrinology · 2026Article
- Clinical predictors of impaired pulmonary diffusing capacity in patients recovering from COVID-19: A secondary analysis of multicentre datasets.Canadian journal of respiratory therapy : CJRT = Revue canadienne de la therapie respiratoire : RCTR · 2026Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recent studies have increasingly demonstrated that coronavirus disease 2019 (COVID-19) patients may develop long-term sequelae of varying severity, collectively referred to as long COVID or post-COVID-19 condition. Pulmonary sequelae are particularly common, which significantly impair patients' quality of life. The mechanisms underlying post-COVID-19 pulmonary sequelae are complex and multifactorial, and their management is still at an exploratory stage. This review explores the manifestations, underlying mechanisms, and potential treatment approaches for post-COVID-19 pulmonary sequelae. Fatigue, dyspnea, myalgia, and sleep disturbances are the most commonly reported symptoms following COVID-19 infection, while anxiety and depression are also prevalent. Respiratory symptoms include dyspnoea, persistent cough, hypoxia, and reduced exercise capacity. Impaired lung diffusion capacity is the most frequently observed pulmonary function abnormality, and residual abnormalities on chest computed tomography (CT) commonly include ground-glass opacities (GGO) and fibrotic-like changes. Air trapping is also an important CT finding and has been reported to associated with impaired lung diffusion function. The potential mechanisms may include pulmonary fibrosis, chronic inflammation, immune dysregulation, coagulation abnormalities and thrombosis, and persistent viral infection. Current treatment strategies encompass vaccination, pulmonary rehabilitation, and pharmacological interventions such as antifibrotic, anti-inflammatory, and anticoagulant therapies. A comprehensive understanding of the recovery trajectory and the mechanisms underlying post-COVID-19 pulmonary sequelae is crucial for improving patient outcomes.
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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.