Evidence map›Paper›PMID 32505599›Full record

SynthesisAcademic radiology2020

CT Manifestations and Clinical Characteristics of 1115 Patients with Coronavirus Disease 2019 (COVID-19): A Systematic Review and Meta-analysis.

Shang Wan, Mingqi Li, Zheng Ye, Caiwei Yang, Qian Cai, Shaofeng Duan, Bin Song

Registry-linked trialOpen access · bronzeAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Academic radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04407468 (Awake Prone Positioning and Oxygen Therapy in Patients With COVID-19), which is not on this map. Cited by 34 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 5 pooled it
1.9field-weighted citation impact, top 8% of its field
1 · What the graph read from it

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.

2 · The registry

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.

NCT04407468 completednot on this map

Awake Prone Positioning and Oxygen Therapy in Patients With COVID-19 (APRONOX)

TypeobservationalSponsorHospital General San Juan del RioRan2020 to 2020Enrolled827ConditionsCOVID, ARDS, PneumoniaArmsProne position
3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 5 syntheses or guidelines pooled it, 83 citations in OpenAlex.

  1. Pooled it
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  3. Pooled it
  4. Chest CT abnormalities in COVID-19: a systematic review.International journal of medical sciences · 2021
    Pooled it
  5. Pooled it
  6. Article
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  13. Rapid 8-Zone Lung Ultrasound Protocol is Comparable to a Full 12-Zone Protocol for Outcome Prediction in Hospitalized COVID-19 Patients.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2022
    Article
  14. Review
  15. Article
  16. Review
  17. COVID19 biomarkers: What did we learn from systematic reviews?Frontiers in cellular and infection microbiology · 2022
    Review
  18. Article
  19. Lung ultrasound in predicting COVID-19 clinical outcomes: A prospective observational study.Journal of the American College of Emergency Physicians open · 2021
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Shang WanDepartment of Radiology, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, PR China.
Mingqi LiDepartment of Cardiology, Guangdong Provincial People's Hospital, No. 106, Zhongshan 2nd Road, Guangzhou, 510000, China.
Zheng YeDepartment of Radiology, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, PR China.
Caiwei YangDepartment of Radiology, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, PR China.
Qian CaiDepartment of Ultrasound, The General Hospital of the People's Liberation Army, No. 28 Fuxing road, Haidian district, Beijing 100089, China.
Shaofeng DuanGE Healthcare China. No.1, Huatuo road, Pudong new town, Shanghai 210000, China.
Bin SongDepartment of Radiology, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, PR China. Electronic address: songlab_radiology@163.com.
Sichuan University · CNGuangdong Provincial People's Hospital · CNHainan 301 Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RATIONALE AND

objectivesWe aimed to assess the prevalence of significant computed tomographic(CT) manifestations and describe some notable features based on chest CT images, as well as the main clinical features of patients with coronavirus disease 2019(COVID-19). MATERIALS AND

methodsA systematic literature search of PubMed, EMBASE, the Cochrane Library, and Web of Science was performed to identify studies assessing CT features, clinical, and laboratory results of COVID-19 patients. A single-arm meta-analysis was conducted to obtain the pooled prevalence and 95% confidence interval (95% CI).

resultsA total of 14 articles (including 1115 patients) based on chest CT images were retrieved. In the lesion patterns on chest CTs, we found that pure ground-glass opacities (GGO) (69%, 95% CI 58-80%), consolidation (47%, 35-60%) and "air bronchogram sign" (46%, 25-66%) were more common than the atypical lesion of "crazy-paving pattern" (15%, 8-22%). With regard to disease extent and involvement, 70% (95% CI 46-95%) of cases showed a location preference for the right lower lobe, 65% (58-73%) of patients presented with ≥3 lobes involvement, and meanwhile, 42% (32-53%) of patients had involvement of all five lobes, while 67% (55-78%) of patients showed a predominant peripheral distribution. An understanding of some important CT features might be helpful for medical surveillance and management. In terms of clinical features, muscle soreness (21%, 95% CI 15-26%) and diarrhea (7%, 4-10%) were minor symptoms compared to fever (80%, 74-87%) and cough (53%, 33-72%).

conclusionChest CT manifestations in patients with COVID-19, as well as its main clinical characteristics, might be helpful in disease evolution and management.

Indexed as

BetacoronavirusAdultBiomarkersBronchographyClinical Laboratory TechniquesCoronavirus InfectionsCoughCOVID-19COVID-19 TestingC-Reactive ProteinDiarrheaFemaleFeverHumansLeukopeniaLungBiomarkersC-Reactive ProteinClinical featuresCOVID-19CT manifestationsLaboratoryMeta-analysis

Identifiers

PMID32505599
PMCPMC7200137
OpenAlexW3022742537

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.