ArticleJournal of thoracic disease2024
Prediction of impaired lung diffusion capacity in COVID-19 pneumonia survivors.
Article in Journal of thoracic disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- 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
- Machine Learning Based Multi-Parameter Modeling for Prediction of Post-Inflammatory Lung Changes.Diagnostics (Basel, Switzerland) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Patients surviving the coronavirus disease 2019 (COVID-19) are reported to explore pulmonary sequelae. It is challenging to provide pulmonary function tests (PFTs) during the pandemic of this contagious diseases because of the difficulty related to infection control risks. This study aims to identify important predictors of lung diffusion capacity impairment in COVID-19 survivors after hospital discharge. Methods: The retrospective cohort study included 341 patients after COVID-19. The parameters of spirometry, body plethysmography, lung diffusion capacity for carbon monoxide (DLco), and the worst chest computed tomography (CT) scan in the acute phase of COVID-19 (CT Results: At the time of the analysis, 64.8% (221/341) patients participated in follow-up visits on 90 days, 23.5% (80/341) on 90-180 days, and 11.7% (40/341) on more than 180 days after the onset of COVID-19 symptoms. The median CT Conclusions: Pulmonary interstitial damage caused by severe acute respiratory syndrome-related coronavirus 2 (SARS-CoV-2) definitely contributes to reduced DLco after hospital discharge. This indicates that analysis of CT scans during the acute phase of COVID-19 may have prognostic relevance for abnormal DLco.
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.