Evidence map›Paper›PMID 34454016›Full record

ArticleMethods (San Diego, Calif.)2022

Digital PCR can augment the interpretation of RT-qPCR Cq values for SARS-CoV-2 diagnostics.

Alexandra S Whale, Eva K von der Heide, Max Kohlenberg, Anja Brinckmann, Silke Baedker, Oezlem Karalay, Ana Fernandez-Gonzalez, Eloise J Busby, Stephen A Bustin, Heiko Hauser and 5 more

Open access · greenAbstract read
In one paragraph

Article in Methods (San Diego, Calif.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.5field-weighted citation impact, top 15% 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

14 citing papers in PubMed, 29 citations in OpenAlex.

  1. Analysis of qPCR Data: From PCR Efficiency to Absolute Target Quantity.International journal of molecular sciences · 2025
    Review
  2. Article
  3. Review
  4. RT-qPCR Testing and Performance Metrics in the COVID-19 Era.International journal of molecular sciences · 2024
    Review
  5. Normalizing real-time PCR results in routine testing.Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Monkeypox: another test for PCR.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2022
    Article
  13. Article
  14. 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

15 authors at 6 institutions in 2 countries.

Alexandra S WhaleNational Measurement Laboratory, LGC, Queens Road, Teddington, Middlesex TW11 0LY, UK. Electronic address: Alexandra.Whale@lgcgroup.com.
Eva K von der HeideLGC Genomics GmbH, Research and Development, TGS Haus 8, Ostendstraße 25, 12459 Berlin, Germany. Electronic address: Eva.vonderHeide@LGCGroup.com.
Max KohlenbergLGC Genomics GmbH, Research and Development, TGS Haus 8, Ostendstraße 25, 12459 Berlin, Germany. Electronic address: Max.Kohlenberg@LGCGroup.com.
Anja BrinckmannLGC Genomics GmbH, Research and Development, TGS Haus 8, Ostendstraße 25, 12459 Berlin, Germany. Electronic address: Anja.Brinckmann@LGCGroup.com.
Silke BaedkerQIAGEN GmbH, Research and Development, QIAGEN Strasse 1, 40724 Hilden, Germany. Electronic address: Silke.Baedker@qiagen.com.
Oezlem KaralayQIAGEN GmbH, Research and Development, QIAGEN Strasse 1, 40724 Hilden, Germany. Electronic address: Oezlem.Karalay@qiagen.com.
Ana Fernandez-GonzalezNational Measurement Laboratory, LGC, Queens Road, Teddington, Middlesex TW11 0LY, UK. Electronic address: Ana.Fernandez-Gonzalez@LGCGroup.com.
Eloise J BusbyNational Measurement Laboratory, LGC, Queens Road, Teddington, Middlesex TW11 0LY, UK. Electronic address: Eloise.Busby@lgcgroup.com.
Stephen A BustinMolecular Diagnostics Unit, Medical Technology Research Centre, Anglia Ruskin University, UK. Electronic address: stephen.bustin@aru.ac.uk.
Heiko HauserLGC Genomics GmbH, Research and Development, TGS Haus 8, Ostendstraße 25, 12459 Berlin, Germany. Electronic address: Heiko.Hauser@LGCGroup.com.
Andreas MisselQIAGEN GmbH, Research and Development, QIAGEN Strasse 1, 40724 Hilden, Germany. Electronic address: Andreas.Missel@qiagen.com.
Denise M O'SullivanNational Measurement Laboratory, LGC, Queens Road, Teddington, Middlesex TW11 0LY, UK. Electronic address: denise.osullivan@lgcgroup.com.
Jim F HuggettNational Measurement Laboratory, LGC, Queens Road, Teddington, Middlesex TW11 0LY, UK; School of Biosciences & Medicine, Faculty of Health & Medical Sciences, University of Surrey, Guildford, Surrey GU2 7XH, UK. Electronic address: Jim.Huggett@lgcgroup.com.
Michael W PfafflDivision of Animal Physiology and Immunology, School of Life Sciences Weihenstephan, Technical University of Munich, Munich, Germany. Electronic address: michael.pfaffl@wzw.tum.de.
Tania NolanLGC Genomics GmbH, Research and Development, TGS Haus 8, Ostendstraße 25, 12459 Berlin, Germany; Molecular Diagnostics Unit, Medical Technology Research Centre, Anglia Ruskin University, UK. Electronic address: Tania.Nolan@lgcgroup.com.
Chemical Genomics Centre · DENational Physical Laboratory · GBQiagen (Germany) · DEAnglia Ruskin University · GBTechnical University of Munich · DEUniversity of Surrey · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) is an infectious, acute respiratory disease caused mainly by person-to-person transmission of the coronavirus SARS-CoV-2. Its emergence has caused a world-wide acute health crisis, intensified by the challenge of reliably identifying individuals likely to transmit the disease. Diagnosis is hampered by the many unknowns surrounding this disease, including those relating to infectious viral burden. This uncertainty is exacerbated by disagreement surrounding the clinical relevance of molecular testing using reverse transcription quantitative PCR (RT-qPCR) for the presence of viral RNA, most often based on the reporting of quantification cycles (Cq), which is also termed the cycle threshold (Ct) or crossing point (Cp). Despite it being common knowledge that Cqs are relative values varying according to a wide range of different parameters, there have been efforts to use them as though they were absolute units, with Cqs below an arbitrarily determined value, deemed to signify a positive result and those above, a negative one. Our results investigated the effects of a range of common variables on Cq values. These data include a detailed analysis of the effect of different carrier molecules on RNA extraction. The impact of sample matrix of buccal swabs and saliva on RNA extraction efficiency was demonstrated in RT-qPCR and the impact of potentially inhibiting compounds in urine along with bile salts were investigated in RT-digital PCR (RT-dPCR). The latter studies were performed such that the impact on the RT step could be separated from the PCR step. In this way, the RT was shown to be more susceptible to inhibitors than the PCR. Together, these studies demonstrate that the consequent variability of test results makes subjective Cq cut-off values unsuitable for the identification of infectious individuals. We also discuss the importance of using reliable control materials for accurate quantification and highlight the substantial role played by dPCR as a method for their development.

Indexed as

COVID-19SARS-CoV-2HumansReal-Time Polymerase Chain ReactionReverse TranscriptionRNA, ViralSensitivity and SpecificityRNA, ViralCq value validitydPCRMIQE and dMIQE guidelinesqPCRSample matrix effectsSARS-CoV-2Standard materialVirus quantification

Identifiers

PMID34454016
PMCPMC8387146
OpenAlexW3198717261

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.