Evidence map›Paper›PMID 35741112›Full record

ReviewDiagnostics (Basel, Switzerland)2022

Diagnostic Performance of Antigen Rapid Diagnostic Tests, Chest Computed Tomography, and Lung Point-of-Care-Ultrasonography for SARS-CoV-2 Compared with RT-PCR Testing: A Systematic Review and Network Meta-Analysis.

Sung Ryul Shim, Seong-Jang Kim, Myunghee Hong, Jonghoo Lee, Min-Gyu Kang, Hyun Wook Han

Open access · goldAbstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 34% 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.

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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
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

6 authors at 5 institutions in 1 country.

Sung Ryul ShimDepartment of Health and Medical Informatics, Kyungnam University College of Health Sciences, Changwon 51767, Korea.ORCID 0000-0003-4143-7383
Seong-Jang KimDepartment of Nuclear Medicine, Pusan National University Yangsan Hospital, Yangsan 50615, Korea.
Myunghee HongDepartment of Biomedical Informatics, CHA University School of Medicine, CHA University, Seongnam 13488, Korea.ORCID 0000-0002-4573-3625
Jonghoo LeeDepartment of Internal Medicine, Jeju National University Hospital, Jeju National University School of Medicine, Jeju 63241, Korea.
Min-Gyu KangDepartment of Internal Medicine, Chungbuk National University College of Medicine, Chungbuk National University Hospital, Cheongju 28644, Korea.ORCID 0000-0002-3239-4492
Hyun Wook HanDepartment of Biomedical Informatics, CHA University School of Medicine, CHA University, Seongnam 13488, Korea.
CHA University · KRChungbuk National University Hospital · KRJeju National University Hospital · KRKyungnam University · KRPusan National University Yangsan Hospital · KR

Funding

Bio Industry Technology Development Program No. 20015086National Research Foundation of Korea No.2020R1F1A1068423
6 · The paper itself

Abstract

(1) Background: The comparative performance of various diagnostic methods for severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection remains unclear. This study aimed to investigate the comparison of the 3 index test performances of rapid antigen diagnostic tests (RDTs), chest computed tomography (CT), and lung point-of-care-ultrasonography (US) with reverse transcription-polymerase chain reaction (RT-PCR), the reference standard, to provide more evidence-based data on the appropriate use of these index tests. (2) Methods: We retrieved data from electronic literature searches of PubMed, Cochrane Library, and EMBASE from 1 January 2020, to 1 April 2021. Diagnostic performance was examined using bivariate random-effects diagnostic test accuracy (DTA) and Bayesian network meta-analysis (NMA) models. (3) Results: Of the 3992 studies identified in our search, 118 including 69,445 participants met our selection criteria. Among these, 69 RDT, 38 CT, and 15 US studies in the pairwise meta-analysis were included for DTA with NMA. CT and US had high sensitivity of 0.852 (95% credible interval (CrI), 0.791-0.914) and 0.879 (95% CrI, 0.784-0.973), respectively. RDT had high specificity, 0.978 (95% CrI, 0.960-0.996). In accuracy assessment, RDT and CT had a relatively higher than US. However, there was no significant difference in accuracy between the 3 index tests. (4) Conclusions: This meta-analysis suggests that, compared with the reference standard RT-PCR, the 3 index tests (RDTs, chest CT, and lung US) had similar and complementary performances for diagnosis of SARS-CoV-2 infection. To manage and control COVID-19 effectively, future large-scale prospective studies could be used to obtain an optimal timely diagnostic process that identifies the condition of the patient accurately.

Indexed as

computed tomographyCOVID-19imaging diagnostic testmeta-analysisrapid antigen diagnostic testRT-PCRSARS-CoV-2systematic reviewultrasonography

Identifiers

PMID35741112
PMCPMC9222155
OpenAlexW4281550315

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.