Cet article est une Preprint
Les preprints sont des rapports de recherche préliminaires qui n'ont pas été certifiés par l’évaluation par les pairs. Ils ne devraient pas être considérés comme guidant la pratique clinique ou les comportements liés à la santé et ne devraient pas être rapportés dans les médias comme des informations établies.
Les preprints publiées en ligne permettent aux auteurs de recevoir des commentaires rapidement, et toute la communauté scientifique peut évaluer indépendamment le travail et répondre en conséquence. Ces commentaires sont publiés avec les preprints que quiconque peut lire et servir d’évaluation post-publication.
The Chest CT Features of Coronavirus Disease 2019 (COVID-19) in China: A Meta-analysis of 19 Trials
Preprint
de En
| PREPRINT-MEDRXIV
| ID: ppmedrxiv-20118059
Journal article
A scientific journal published article is available and is probably based on this preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
See journal article
A scientific journal published article is available and is probably based on this preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
See journal article
ABSTRACT
ObjectiveThis study aimed to summarize the characteristics of chest CT imaging in Chinese patients with Coronavirus Disease 2019 (COVID-19) to provide reliable evidence for further guiding clinical routine. MethodsPubMed, Embase and Web of Science databases were thoroughly searched to identified relevant articles involving the features of chest CT imaging in Chinese patients with COVID-19. All data were analyzed utilizing R software version i386 4.0.0. Random-effects models were employed to calculate pooled mean differences. Results19 trials incorporating 1332 cases were included in the study. The results demonstrated that the incidence of ground-glass opacities (GGO) was 0.79, consolidation was 0.34; mixed GGO and consolidation was 0.46; air bronchogram sign was 0.41; crazy paving pattern was 0.32; interlobular septal thickening was 0.55; reticulation was 0.30; bronchial wall thickening was 0.24; vascular enlargement was 0.74. subpleural linear opacity was 0.28; intrathoracic lymph node enlargement was 0.03; pleural effusions was 0.03. The distribution in lung the incidence of central was 0.05; peripheral was 0.74; peripheral involving central was 0.38; diffuse was 0.19; unifocal involvement was 0.09; multifocal involvement was 0.57; unilateral was 0.16; bilateral was 0.83; The incidence of lobes involved (>2) was 0.70; lobes involved ([less double equals]2) was 0.35. ConclusionGGO, vascular enlargement, interlobular septal thickening more frequently occurred in patients with COVID-19. Peripheral, bilateral, involved lobes >2 might be the features of COVID-19 in the distribution aspect. Therefore, based on the aboved features of COVID-19 in chest CT imaging, it might be a promising means for identifying COVID-19.
cc_by_nc_nd
Texte intégral:
1
Collection:
09-preprints
Base de données:
PREPRINT-MEDRXIV
Type d'étude:
Observational_studies
/
Prognostic_studies
/
Rct
/
Review
Langue:
En
Année:
2020
Type de document:
Preprint