Evidence map›Paper›PMID 32962560›Full record

SynthesisEmerging microbes & infections2020

Meta-analysis of diagnostic performance of serology tests for COVID-19: impact of assay design and post-symptom-onset intervals.

Hongyu Wang, Jingwen Ai, Michael J Loeffelholz, Yi-Wei Tang, Wenhong Zhang

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Emerging microbes & infections, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 9% 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

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 70 citations in OpenAlex.

  1. Pooled it
  2. Article
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  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
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  11. Article
  12. Article
  13. Observational
  14. Article
  15. Article
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  17. The Trend of IgG and IgM Antibodies During 6-Month Period After the Disease Episode in COVID-19 Patients.Iranian journal of science and technology. Transaction A, Science · 2022
    Article
  18. Review
  19. Prevalence and factors associated with SARS-CoV-2 seropositivity in the Spanish HIV Research Network Cohort.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2021
    Review
  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

5 authors at 3 institutions in 2 countries.

Hongyu WangDepartment of Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.
Jingwen AiDepartment of Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.
Michael J LoeffelholzCepheid China, Danaher Diagnostic Platform, Shanghai, People's Republic of China.
Yi-Wei TangCepheid China, Danaher Diagnostic Platform, Shanghai, People's Republic of China.
Wenhong ZhangDepartment of Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.
Danaher (China) · CNFudan University · CNHuashan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Serology detection is recognized for its sensitivity in convalescent patients with COVID-19, in comparison with nucleic acid amplification tests (NAATs). This article aimed to evaluate the diagnostic accuracy of serologic methods for COVID-19 based on assay design and post-symptom-onset intervals. Two authors independently searched PubMed, Cochrane library, Ovid, EBSCO for case-control, longitudinal and cohort studies that determined the diagnostic accuracy of serology tests in comparison with NAATs in COVID-19 cases and used QUADAS-2 for quality assessment. Pooled accuracy was analysed using INLA method. A total of 27 studies were included in this meta-analysis, with 4 cohort, 16 case-control and 7 longitudinal studies and 4565 participants. Serology tests had the lowest sensitivity at 0-7 days after symptom onset and the highest at >14 days. TAB had a better sensitivity than IgG or IgM only. Using combined nucleocapsid (N) and spike(S) protein had a better sensitivity compared to N or S protein only. Lateral flow immunoassay (LFIA) had a lower sensitivity than enzyme-linked immunoassay (ELISA) and chemiluminescent immunoassay (CLIA). Serology tests will play an important role in the clinical diagnosis for later stage COVID-19 patients. ELISA tests, detecting TAB or targeting combined N and S proteins had a higher diagnostic sensitivity compared to other methods.

Indexed as

BetacoronavirusAntibodies, ViralAntigens, ViralClinical Laboratory TechniquesCoronavirus InfectionsCOVID-19COVID-19 TestingHumansImmunoassayImmunoglobulin GImmunoglobulin MPandemicsPneumonia, ViralPublication BiasSARS-CoV-2Sensitivity and SpecificityAntibodies, ViralAntigens, ViralImmunoglobulin GImmunoglobulin MCOVID-19immunoassaysmetanalysisSARS-CoV-2serology

Identifiers

PMID32962560
PMCPMC7580610
OpenAlexW3087633667

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.