Evidence map›Paper›PMID 33188933›Full record

SynthesisClinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases2021

Nucleic acid amplification tests on respiratory samples for the diagnosis of coronavirus infections: a systematic review and meta-analysis.

Mona Mustafa Hellou, Anna Górska, Fulvia Mazzaferri, Eleonora Cremonini, Elisa Gentilotti, Pasquale De Nardo, Itamar Poran, Mariska M Leeflang, Evelina Tacconelli, Mical Paul

Open access · bronzeAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 6 pooled it
2.0field-weighted citation impact, top 8% 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

52 citing papers in PubMed, 6 syntheses or guidelines pooled it, 103 citations in OpenAlex.

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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

10 authors at 6 institutions in 4 countries.

Mona Mustafa HellouInfectious Diseases Institute, Rambam Health Care Campus, Haifa, Israel.
Anna GórskaDivision of Infectious Diseases, Department of Diagnostics and Public Health, University of Verona, Verona, Italy.
Fulvia MazzaferriDivision of Infectious Diseases, Department of Diagnostics and Public Health, University of Verona, Verona, Italy.
Eleonora CremoniniDivision of Infectious Diseases, Department of Diagnostics and Public Health, University of Verona, Verona, Italy.
Elisa GentilottiDivision of Infectious Diseases, Department of Diagnostics and Public Health, University of Verona, Verona, Italy.
Pasquale De NardoDivision of Infectious Diseases, Department of Diagnostics and Public Health, University of Verona, Verona, Italy.
Itamar PoranMedicine E, Rabin Medical Centre, Beilinson Hospital, Petah-Tikva, Israel.
Mariska M LeeflangEpidemiology and Data Science, Amsterdam Public Health, Amsterdam University Medical Centres, University of Amsterdam, Amsterdam, the Netherlands.
Evelina TacconelliDivision of Infectious Diseases, Department of Diagnostics and Public Health, University of Verona, Verona, Italy; Infectious Diseases, Department of Internal Medicine I, Tu¨bingen University Hospital, Tu¨bingen, Germany.
Mical PaulInfectious Diseases Institute, Rambam Health Care Campus, Haifa, Israel; The Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel. Electronic address: paulm@technion.ac.il.
University of Verona · ITRabin Medical Center · ILRambam Health Care Campus · ILTechnion – Israel Institute of Technology · ILTH Bingen University of Applied Sciences · DEUniversity of Amsterdam · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundManagement and control of coronavirus disease 2019 (COVID-19) relies on reliable diagnostic testing.

objectivesTo evaluate the diagnostic test accuracy (DTA) of nucleic acid amplification tests (NAATs) for the diagnosis of coronavirus infections. DATA SOURCES: PubMed, Web of Science, the Cochrane Library, Embase, Open Grey and conference proceeding until May 2019. PubMed and medRxiv were updated for COVID-19 on 31st August 2020. STUDY ELIGIBILITY: Studies were eligible if they reported on agreement rates between different NAATs using clinical samples.

participantsSymptomatic patients with suspected upper or lower respiratory tract coronavirus infection.

methodsThe new NAAT was defined as the index test and the existing NAAT as reference standard. Data were extracted independently in duplicate. Risk of bias was assessed using the Quality Assessment of Diagnostic Accuracy Studies 2 tool. Confidence regions (CRs) surrounding summary sensitivity/specificity pooled by bivariate meta-analysis are reported. Heterogeneity was assessed using meta-regression.

resultsFifty-one studies were included, 22 of which included 10 181 persons before COVID-19 and 29 including 8742 persons diagnosed with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The overall summary sensitivity was 89.1% (95%CR 84.0-92.7%) and specificity 98.9% (95%CR 98.0-99.4%). Nearly all the studies evaluated different PCRs as both index and reference standards. Real-time RT PCR assays resulted in significantly higher sensitivity than other tests. Reference standards at high risk of bias possibly exaggerated specificity. The pooled sensitivity and specificity of studies evaluating SARS-COV-2 were 90.4% (95%CR 83.7-94.5%) and 98.1% (95%CR 95.9-99.2), respectively. SARS-COV-2 studies using samples from the lower respiratory tract, real-time RT-PCR, and tests targeting the N or S gene or more than one gene showed higher sensitivity, and assays based on reverse transcriptase loop-mediated isothermal amplification (RT-LAMP), especially when targeting only the RNA-dependent RNA polymerase (RdRp) gene, showed significantly lower sensitivity compared to other studies.

conclusionsPooling all studies to date shows that on average 10% of patients with coronavirus infections might be missed with PCR tests. Variables affecting sensitivity and specificity can be used for test selection and development.

Indexed as

Clinical Laboratory TechniquesCoronavirusCoronavirus InfectionsCOVID-19Evaluation Studies as TopicHumansNucleic Acid Amplification TechniquesRespiratory Tract InfectionsSARS-CoV-2Sensitivity and SpecificityAcute respiratory tract infectionCoronavirusCOVID-19Nucleic acid amplification testsSARS-CoV-2

Identifiers

PMID33188933
PMCPMC7657614
OpenAlexW3103674685

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.