Evidence map›Paper›PMID 35032480›Full record

SynthesisJournal of virological methods2022

The Diagnostic Accuracy of Xpert Xpress to SARS-CoV-2: A systematic review.

Xun-Jie Cao, Ke-Ying Fang, Ya-Ping Li, Jie Zhou, Xu-Guang Guo

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of virological methods, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Rapid Evaluation of the XpertDiagnostics (Basel, Switzerland) · 2022
    Article
  7. Article
  8. Article
  9. 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

5 authors.

Xun-Jie CaoDepartment of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China; Department of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, 510150, China.
Ke-Ying FangDepartment of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China; Department of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, 510150, China.
Ya-Ping LiDepartment of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China; Department of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, 510150, China; Department of Clinical Medicine, The Second Clinical School of Guangzhou Medical University, Guangzhou, 510150, China.
Jie ZhouDepartment of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China; Department of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, 510150, China.
Xu-Guang GuoDepartment of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China; Department of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, 510150, China; Key Laboratory for Major Obstetric Diseases of Guangdong Province, The Third Clinical School of Guangzhou Medical University, Guangzhou, 510150, China; Key Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, The Third Clinical School of Guangzhou Medical University, Guangzhou, 510150, China. Electronic address: gysygxg@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The SARS-CoV-2 infection rate, as well as mortality rate, is high. There is an urgent need for a high-throughput, accurate and reliable method of diagnosing COVID-19 pneumonia. We included references from databases, such as PubMed, Cochrane Library, Web of Science, and Embase, and extracted data. Then, MetaDisc and STATA were used to establish forest plots and funnel plots for meta-analysis. We collected 14 articles and performed a systematic review. The following results were obtained: sensitivity and specificity were 0.97 (0.96 to 0.98) and 0.97 (0.96 to 0.98) respectively; PLR and NLR were 24.51 (16.63-36.12) and 0.03 (0.01 to 0.10) respectively, DOR was 975.15 (430.11-2210.88), and AUC was 0.9926. When Xpress detects SARS-CoV-2 in different samples, the heterogeneity is small and the specificity and sensitivity are extremely high. We recommend the employment of Xpert Xpress analysis in rapid screening.

Indexed as

COVID-19SARS-CoV-2COVID-19 TestingHumansMolecular Diagnostic TechniquesSensitivity and SpecificityCOVID-19 pneumoniaDiagnostic accuracySARS-CoV-2Systemic reviewXpert Xpress

Identifiers

PMID35032480
PMCPMC8754461

What OpenQuestion holds

Textmetadata
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.