Evidence map›Paper›PMID 34062996›Full record

ArticleDiseases (Basel, Switzerland)2021

Alignment of Qx100/Qx200 Droplet Digital (Bio-Rad) and QuantStudio 3D (Thermofisher) Digital PCR for Quantification of BCR-ABL1 in Ph+ Chronic Myeloid Leukemia.

Carmen Fava, Simona Bernardi, Enrico Marco Gottardi, Roberta Lorenzatti, Laura Galeotti, Francesco Ceccherini, Francesco Cordoni, Filomena Daraio, Emilia Giugliano, Aleksandar Jovanovski and 9 more

Open access · goldAbstract read
In one paragraph

Article in Diseases (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Article
  6. Effect ofTherapeutic advances in hematology · 2023
    Article
  7. Review
  8. Article
  9. 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

19 authors at 3 institutions in 1 country.

Carmen FavaDepartment of Clinical and Biological Sciences, University of Turin, AOU San Luigi Gonzaga, Orbassano, 10043 Turin, Italy.
Simona BernardiUnit of Blood Diseases and Stem Cell Transplantation, DPT of Clinical and Experimental Sciences, University of Brescia, ASST SpedaliCivili di Brescia, 25123 Brescia, Italy.ORCID 0000-0002-3494-2624
Enrico Marco GottardiDivision of Internal Medicine and Hematology, San Luigi Gonzaga Hospital, Orbassano, 10043 Turin, Italy.
Roberta LorenzattiDivision of Internal Medicine and Hematology, San Luigi Gonzaga Hospital, Orbassano, 10043 Turin, Italy.
Laura GaleottiPhymtechSrl, Via F.lli Rosselli 8, Madonna dell'Acqua, San Giuliano Terme, 56017 Pisa, Italy.
Francesco CeccheriniPhymtechSrl, Via F.lli Rosselli 8, Madonna dell'Acqua, San Giuliano Terme, 56017 Pisa, Italy.
Francesco CordoniPhymtechSrl, Via F.lli Rosselli 8, Madonna dell'Acqua, San Giuliano Terme, 56017 Pisa, Italy.
Filomena DaraioDivision of Internal Medicine and Hematology, San Luigi Gonzaga Hospital, Orbassano, 10043 Turin, Italy.
Emilia GiuglianoDivision of Internal Medicine and Hematology, San Luigi Gonzaga Hospital, Orbassano, 10043 Turin, Italy.
Aleksandar JovanovskiDepartment of Clinical and Biological Sciences, University of Turin, AOU San Luigi Gonzaga, Orbassano, 10043 Turin, Italy.ORCID 0000-0001-8221-3357
Jessica PetitiDepartment of Clinical and Biological Sciences, University of Turin, AOU San Luigi Gonzaga, Orbassano, 10043 Turin, Italy.ORCID 0000-0001-8640-2462
Marta VarottoBioclarmas.r.l. Research and Molecular Diagnostics, 10126 Torino, Italy.
Davide BarberioBioclarmas.r.l. Research and Molecular Diagnostics, 10126 Torino, Italy.
Giovanna Rege-CambrinDivision of Internal Medicine and Hematology, San Luigi Gonzaga Hospital, Orbassano, 10043 Turin, Italy.
Paola BerchiallaDepartment of Clinical and Biological Sciences, University of Turin, AOU San Luigi Gonzaga, Orbassano, 10043 Turin, Italy.ORCID 0000-0001-5835-5638
Veronica SciannameoUnit of Biostatistics, Department of Cardiac, Thoracic and Vascular Sciences, Epidemiology and Public Health, University of Padova, 35128 Padova, Italy.ORCID 0000-0002-0499-0131
Michele MalagolaUnit of Blood Diseases and Stem Cell Transplantation, DPT of Clinical and Experimental Sciences, University of Brescia, ASST SpedaliCivili di Brescia, 25123 Brescia, Italy.
Giuseppe SaglioDepartment of Clinical and Biological Sciences, University of Turin, AOU San Luigi Gonzaga, Orbassano, 10043 Turin, Italy.
Domenico RussoUnit of Blood Diseases and Stem Cell Transplantation, DPT of Clinical and Experimental Sciences, University of Brescia, ASST SpedaliCivili di Brescia, 25123 Brescia, Italy.
Ospedale San Luigi Gonzaga · ITAzienda Socio Sanitaria Territoriale degli Spedali Civili di Brescia · ITUniversity of Padua · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, the digital polymerase chain reaction has received increasing interest as it has emerged as a tool to provide more sensitive and accurate detection of minimal residual disease. In order to start the process of data alignment, we assessed the consistency of the BCR-ABL1 quantification results of the analysis of 16 RNA samples at different levels of disease. The results were obtained by two different laboratories that relied on The Qx100/Qx200 Droplet Digital PCR System (Bio-Rad) and Quant Studio 3D dPCR System (Thermofisher) platforms. We assessed the compatibility between the estimated values by linear regression, Bland-Altman bias-plot, and Mann-Whitney nonparametric test. The results confirmed the compatibility of the measures, allowing us tocompute an 'alignment factor' (AF), equal to 1.41, which was further validated by a different series of experiments. We conclude that the performed measurements by the two laboratories are comparable, and also equalized through the introduction of an alignment factor.

Indexed as

chronic myeloid leukemiaCMLdigital PCRdigital polymerase chain reactiondPCRminimal residual disease

Identifiers

PMID34062996
PMCPMC8161814
OpenAlexW3158424983

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.