Evidence map›Paper›PMID 34661181›Full record

SynthesisThe Lancet. Microbe2021

Diagnostic performances of common nucleic acid tests for SARS-CoV-2 in hospitals and clinics: a systematic review and meta-analysis.

Wing Ying Au, Peter Pak Hang Cheung

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in The Lancet. Microbe, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Review
  3. Review
  4. Article
  5. Article
  6. Preparation of FeMikrochimica acta · 2025
    Article
  7. Article
  8. Article
  9. Review
  10. Biochemically Programmable Isothermal PCR.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  11. RT-qPCR Testing and Performance Metrics in the COVID-19 Era.International journal of molecular sciences · 2024
    Review
  12. Article
  13. Article
  14. Article
  15. Acute management of pneumonia in adult patients.Singapore medical journal · 2023
    Article
  16. Nucleic Acid Prevalence of ZoonoticTropical medicine and infectious disease · 2023
    Review
  17. Article
  18. Review
  19. Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Wing Ying AuDepartment of Chemical Pathology, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong Special Administrative Region, China.
Peter Pak Hang CheungDepartment of Chemical Pathology, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong Special Administrative Region, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAn optimised standard experimental setup across different hospitals is urgently needed to ensure consistency in nucleic acid test results for SARS-CoV-2 detection. A standard comparison across different nucleic acid tests and their optimal experimental setups is not present. We assessed the performance of three common nucleic acid tests, namely digital PCR (dPCR), quantitative PCR (qPCR), and loop-mediated isothermal amplification (LAMP), to detect SARS-CoV-2 in clinical settings.

methodsIn this systematic review and meta-analysis we compared sensitivity and specificity of qPCR, dPCR, and LAMP and their performances when different experimental setups (namely specimen type used, use of RNA extraction, primer-probe sets, and RNA extraction methods) are applied. We searched PubMed, BioRxiv, MedRxiv, SciFinder, and ScienceDirect for studies and preprints published between Feb 29 and Dec 15, 2020. Included dPCR, qPCR, and LAMP studies using any type of human specimens should report the number of true-positive, true-negative, false-positive, and false-negative cases with Emergency Use Authorization (EUA)-approved PCR assays as the comparator. Studies with a sample size of less than ten, descriptive studies, case studies, reviews, and duplicated studies were excluded. Pooled sensitivity and specificity were computed from the true and false positive and negative cases using Reitsma's bivariate random-effects and bivariate latent class models. Test performance reported in area under the curve (AUC) of the three nucleic acid tests was further compared by pooling studies with similar experimental setups (eg, tests that used RNA extracted pharyngeal swabs but with either the open reading frame 1ab or the N primer). Heterogeneity was assessed and reported in

findingsOur search identified 1277 studies of which we included 66 studies (11 dPCR, 32 qPCR, and 23 LAMP) with 15 017 clinical samples in total in our systematic review and 52 studies in our meta-analysis. dPCR had the highest pooled diagnostic sensitivity (94·1%, 95% CI 88·9-96·6, by Reitsma's model and 95·8%, 54·9-100·0, by latent class model), followed by qPCR (92·7%, 88·3-95·6, and 93·4%, 60·9-99·9) and LAMP (83·3%, 76·9-88·2, and 86·2%, 20·7-99·9), using EUA-approved PCR kits as the reference standard. LAMP was the most specific with a pooled estimate of 96·3% (93·8-97·8) by Reitsma's model and 94·3% (49·1-100·0) by latent class model, followed by qPCR (92·9%, 87·2-96·2, and 93·1%, 47·1-100·0) and dPCR (78·5%, 57·4-90·8, and 73·8%, 0·9-100·0). The overall heterogeneity was

interpretationAll three nucleic acid tests consistently perform better with pharyngeal swabs using SARS-CoV-2 open reading frame 1ab primer with RNA extraction. dPCR was shown to be the most sensitive, followed by qPCR and LAMP. However, their accuracy does not differ significantly. Instead, accuracy depends on specific experimental conditions, implying that more efforts should be directed to optimising the experimental setups for the nucleic acid tests. Hence, our results could be a reference for optimising and establishing a standard nucleic acid test protocol that is applicable in laboratories worldwide.

fundingUniversity Grants Committee and The Chinese University of Hong Kong.

Indexed as

COVID-19Nucleic AcidsHospitalsHumansReal-Time Polymerase Chain ReactionRNASARS-CoV-2Nucleic AcidsRNA

Identifiers

PMID34661181
PMCPMC8510644

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.