Evidence map›Paper›PMID 34522166›Full record

SynthesisInternational journal of medical sciences2021

Chest CT abnormalities in COVID-19: a systematic review.

Ramy Abou Ghayda, Keum Hwa Lee, Jae Seok Kim, Seul Lee, Sung Hwi Hong, Kyeong Seok Kim, Kyeong Eon Kim, Jinhyn Seok, Hajeong Kim, Jangsuk Seo and 7 more

Abstract readSystematic Review
In one paragraph

Synthesis 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 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Observational
  4. Observational
  5. Article
  6. Article
  7. 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

17 authors.

Ramy Abou GhaydaDivision of Urology, Brigham and Women's Hospital and Harvard Medical School Boston, MA 02115, USA.
Keum Hwa LeeDepartment of Pediatrics, Yonsei University College of Medicine, Yonsei-ro 50, Seodaemun-gu, C.P.O Box 8044, Seoul 03722, Republic of Korea.
Jae Seok KimDepartment of Nephrology, Yonsei University Wonju College of Medicine, Ilsan-ro 20, Wonju 26426, Republic of Korea.
Seul LeeYonsei University College of Medicine, Seoul, Republic of Korea.
Sung Hwi HongDivision of Urology, Brigham and Women's Hospital and Harvard Medical School Boston, MA 02115, USA.
Kyeong Seok KimYonsei University College of Medicine, Seoul, Republic of Korea.
Kyeong Eon KimYonsei University College of Medicine, Seoul, Republic of Korea.
Jinhyn SeokYonsei University College of Medicine, Seoul, Republic of Korea.
Hajeong KimYonsei University College of Medicine, Seoul, Republic of Korea.
Jangsuk SeoYonsei University College of Medicine, Seoul, Republic of Korea.
Seungmin LeeYonsei University College of Medicine, Seoul, Republic of Korea.
Ai KoyanagiResearch and Development Unit, Parc Sanitari Sant Joan de Déu, CIBERSAM, Dr. Antoni Pujadas, 42, Sant Boi de Llobregat, 08830, Barcelona, Spain.
Louis JacobResearch and Development Unit, Parc Sanitari Sant Joan de Déu, CIBERSAM, Dr. Antoni Pujadas, 42, Sant Boi de Llobregat, 08830, Barcelona, Spain.
Lee SmithThe Cambridge Centre for Sport and Exercise Sciences, Anglia Ruskin University, Cambridge CB1 1PT, UK.
Han LiUniversity of Florida College of Medicine, Gainesville, FL 32610, USA.
Andreas KronbichlerDepartment of Internal Medicine IV, Nephrology and Hypertension, Medical University Innsbruck, Innsbruck, Austria.
Jae Il ShinDepartment of Pediatrics, Yonsei University College of Medicine, Yonsei-ro 50, Seodaemun-gu, C.P.O Box 8044, Seoul 03722, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computed tomography (CT) of the chest is one of the main diagnositic tools for coronavirus disease 2019 (COVID-19) infection. To document the chest CT findings in patients with confirmed COVID-19 and their association with the clinical severity, we searched related literatures through PubMed, MEDLINE, Embase, Web of Science (inception to May 4, 2020) and reviewed reference lists of previous systematic reviews. A total of 31 case reports (3768 patients) on CT findings of COVID-19 were included. The most common comorbid conditions were hypertension (18.4%) and diabetes mellitus (8.3%). The most common symptom was fever (78.7%), followed by cough (60.2%). It took an average of 5.6 days from symptom onset to admission. The most common chest CT finding was vascular enlargement (84.8%), followed by ground-glass opacity (GGO) (60.1%), air-bronchogram (47.8%), and consolidation (41.4%). Most lung lesions were located in the lung periphery (72.2%) and involved bilateral lung (76%). Most patients showed normal range of laboratory findings such as white blood cell count (96.4%) and lymphocyte (87.2%). Compared to previous published meta-analyses, our study is the first to summarize the different radiologic characteristics of chest CT in a total of 3768 COVID-19 patients by compiling case series studies. A comprehensive diagnostic approach should be adopted for patients with known COVID-19, suspected cases, and for exposed individuals.

Indexed as

COVID-19HumansLungLung DiseasesLymphocyte CountOxygenPrognosisRadiography, ThoracicTomography, X-Ray ComputedOxygenComputed tomography (CT)Coronavirus disease 2019 (COVID-19)Systematic review

Identifiers

PMID34522166
PMCPMC8436104

What OpenQuestion holds

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Registered trials

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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.