Evidence map›Paper›PMID 31067725›Full record

ReviewInternational journal of molecular sciences2019

Digital PCR in Myeloid Malignancies: Ready to Replace Quantitative PCR?

Daniela Cilloni, Jessica Petiti, Valentina Rosso, Giacomo Andreani, Matteo Dragani, Carmen Fava, Giuseppe Saglio

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
6.4field-weighted citation impact, top 3% 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

30 citing papers in PubMed, 53 citations in OpenAlex.

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  13. Accuracy and Clinical Relevance of Intra-TumoralDiagnostics (Basel, Switzerland) · 2022
    Article
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  19. DNA Transformations for Diagnosis and Therapy.Advanced functional materials · 2021
    Review
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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

7 authors at 1 institution in 1 country.

Daniela CilloniDepartment of Clinical and Biological Sciences, University of Turin, 10043 Turin, Italy. daniela.cilloni@unito.it.ORCID 0000-0001-6346-4791
Jessica PetitiDepartment of Clinical and Biological Sciences, University of Turin, 10043 Turin, Italy. jessica.petiti@unito.it.ORCID 0000-0001-8640-2462
Valentina RossoDepartment of Clinical and Biological Sciences, University of Turin, 10043 Turin, Italy. valentina.rosso@unito.it.
Giacomo AndreaniDepartment of Clinical and Biological Sciences, University of Turin, 10043 Turin, Italy. giacomo.andreani@unito.it.ORCID 0000-0003-4877-3929
Matteo DraganiDepartment of Clinical and Biological Sciences, University of Turin, 10043 Turin, Italy. matteo.dragani@gmail.com.
Carmen FavaDepartment of Clinical and Biological Sciences, University of Turin, 10043 Turin, Italy. carmen.fava@unito.it.
Giuseppe SaglioDepartment of Clinical and Biological Sciences, University of Turin, 10043 Turin, Italy. giuseppe.saglio@unito.it.
University of Turin · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

New techniques are on the horizon for the detection of small leukemic clones in both, acute leukemias and myeloproliferative disorders. A promising approach is based on digital polymerase chain reaction (PCR). Digital PCR (dPCR) is a breakthrough technology designed to provide absolute nucleic acid quantification. It is particularly useful to detect a low amount of target and therefore it represents an alternative method for detecting measurable residual disease (MRD). The main advantages are the high precision, the very reliable quantification, the absolute quantification without the need for a standard curve, and the excellent reproducibility. Nowadays the main disadvantages of this strategy are the costs that are still higher than standard qPCR, the lack of standardized methods, and the limited number of laboratories that are equipped with instruments for dPCR. Several studies describing the possibility and advantages of using digital PCR for the detection of specific leukemic transcripts or mutations have already been published. In this review we summarize the available data on the use of dPCR in acute myeloid leukemia and myeloproliferative disorders.

Indexed as

Biomarkers, TumorHumansLeukemia, Myeloid, AcuteMolecular Diagnostic TechniquesPolymerase Chain ReactionBiomarkers, Tumoracute myeloid leukemiachronic myeloproliferative disordersdigital PCRminimal residual disease

Identifiers

PMID31067725
PMCPMC6540058
OpenAlexW2944596426

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.