Evidence map›Paper›PMID 32366669›Full record

ArticleJournal of clinical microbiology2020

Multicenter Evaluation of the Cepheid Xpert Xpress SARS-CoV-2 Test.

Michael J Loeffelholz, David Alland, Susan M Butler-Wu, Utsav Pandey, Carlo Frederico Perno, Alice Nava, Karen C Carroll, Heba Mostafa, Emma Davies, Ashley McEwan and 17 more

Open access · greenAbstract readEvaluation StudyMulticenter Study
In one paragraph

Article in Journal of clinical microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 112 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
112citing papers in PubMed, 7 pooled it
4.5field-weighted citation impact, top 4% 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

112 citing papers in PubMed, 7 syntheses or guidelines pooled it, 193 citations in OpenAlex.

  1. The Infectious Diseases Society of America Guidelines on the Diagnosis of COVID-19: Molecular Diagnostic Testing (December 2023).Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024
    Guideline
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Nucleic acid amplification tests on respiratory samples for the diagnosis of coronavirus infections: a systematic review and meta-analysis.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2021
    Pooled it
  7. Pooled it
  8. Review
  9. Emergence of Clinically Macrolide-UnresponsiveAntibiotics (Basel, Switzerland) · 2026
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Analytical performance of the rapid qualitative antigen kit for the detection of SARS-CoV-2 during widespread circulation of the Omicron variant.Journal of infection and chemotherapy : official journal of the Japan Society of Chemotherapy · 2023
    Observational

52 more citing papers are in PubMed but not listed here.

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

27 authors at 7 institutions in 3 countries.

Michael J LoeffelholzCepheid, Sunnyvale, California, USA Michael.loeffelholz@cepheid.com.
David AllandCenter for Emerging Pathogens, Department of Medicine, Rutgers-New Jersey Medical School, Newark New Jersey, USA.
Susan M Butler-WuKeck School of Medicine of USC, Department of Pathology, Los Angeles, California, USA.
Utsav PandeyChildren's Hospital Los Angeles, Los Angeles, California, USA.
Carlo Frederico PernoNiguarda Hospital, Ospedale Niguarda Ca' Granda, Milan, Italy.
Alice NavaNiguarda Hospital, Ospedale Niguarda Ca' Granda, Milan, Italy.
Karen C CarrollThe Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Heba MostafaThe Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Emma DaviesDepartment of Virology, Manchester University NHS Foundation Trust, Manchester, United Kingdom.
Ashley McEwanDepartment of Virology, Manchester University NHS Foundation Trust, Manchester, United Kingdom.
Jennifer L RakemanNYC Public Health Laboratory, Department of Health and Mental Hygiene, New York, New York, USA.
Randal C FowlerNYC Public Health Laboratory, Department of Health and Mental Hygiene, New York, New York, USA.
Jean-Michel PawlotskyBacteriology-Virology, Henri Mondor Hospital, Creteil, France.
Slim FouratiBacteriology-Virology, Henri Mondor Hospital, Creteil, France.ORCID https://orcid.org/0000-0002-1236-5467
Sukalyani BanikCenter for Emerging Pathogens, Department of Medicine, Rutgers-New Jersey Medical School, Newark New Jersey, USA.
Padmapriya P BanadaCenter for Emerging Pathogens, Department of Medicine, Rutgers-New Jersey Medical School, Newark New Jersey, USA.ORCID https://orcid.org/0000-0002-5217-6142
Shobha SwaminathanCenter for Emerging Pathogens, Department of Medicine, Rutgers-New Jersey Medical School, Newark New Jersey, USA.
Soumitesh ChakravortyCepheid, Sunnyvale, California, USA.
Robert W KwiatkowskiCepheid, Sunnyvale, California, USA.
Victor C ChuCepheid, Sunnyvale, California, USA.
JoAnn KopCepheid, Sunnyvale, California, USA.
Rajiv GaurCepheid, Sunnyvale, California, USA.
Mandy L Y SinCepheid, Sunnyvale, California, USA.
Duy NguyenCepheid, Sunnyvale, California, USA.
Simranjit SinghCepheid, Sunnyvale, California, USA.
Na ZhangCepheid, Sunnyvale, California, USA.
David H PersingCepheid, Sunnyvale, California, USA.
Rutgers, The State University of New Jersey · USAzienda Socio Sanitaria Territoriale Grande Ospedale Metropolitano Niguarda · ITJohns Hopkins University · USManchester University NHS Foundation Trust · GBNew York City Department of Health and Mental Hygiene · USChildren's Hospital of Los Angeles · USKeck Hospital of USC · US

Funding

Supplement request for Ebola diagnostic assay developmentR01AI098713 · NIAID · UNIV OF MED/DENT OF NJ-NJ MEDICAL SCHOOL · PI ALLAND, DAVID · 2012 to 2016
$6.1M
Simple and rapid POC detection for fungemiaR01AI148437 · NIAID · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI ALLAND, DAVID · 2020 to 2024
$3.7M
TB detection in children using a novel stool-based GeneXpert assayR01AI131617 · NIAID · RBHS-NEW JERSEY MEDICAL SCHOOL · PI ALLAND, DAVID, NICOL, MARK PATRICK · 2018 to 2022
$2.9M
NIAID NIH HHS R01 AI098713NIAID NIH HHS R01 AI131617NIAID NIH HHS R01 AI148437
6 · The paper itself

Abstract

Nucleic acid amplification tests (NAATs) are the primary means of identifying acute infections caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Accurate and fast test results may permit more efficient use of protective and isolation resources and allow rapid therapeutic interventions. We evaluated the analytical and clinical performance characteristics of the Xpert Xpress SARS-CoV-2 (Xpert) test, a rapid, automated molecular test for SARS-CoV-2. Analytical sensitivity and specificity/interference were assessed with infectious SARS-CoV-2; other infectious coronavirus species, including SARS-CoV; and 85 nasopharyngeal swab specimens positive for other respiratory viruses, including endemic human coronaviruses (hCoVs). Clinical performance was assessed using 483 remnant upper- and lower-respiratory-tract specimens previously analyzed by standard-of-care (SOC) NAATs. The limit of detection of the Xpert test was 0.01 PFU/ml. Other hCoVs, including Middle East respiratory syndrome coronavirus, were not detected by the Xpert test. SARS-CoV, a closely related species in the subgenus

Indexed as

AdolescentAdultAgedAged, 80 and overAutomation, LaboratoryBetacoronavirusChildChild, PreschoolClinical Laboratory TechniquesCoronavirus InfectionsCOVID-19COVID-19 TestingFemaleHumansInfantInfant, NewbornCOVID-19RT-PCRSARS-CoV-2Xpert

Identifiers

PMID32366669
PMCPMC7383535
OpenAlexW3021034587

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.