Evidence map›Paper›PMID 33172063›Full record

ReviewCancers2020

Standardization of BCR-ABL1 p210 Monitoring: From Nested to Digital PCR.

Aleksandar Jovanovski, Jessica Petiti, Emilia Giugliano, Enrico Marco Gottardi, Giuseppe Saglio, Daniela Cilloni, Carmen Fava

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

7 citing papers in PubMed, 9 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

7 authors at 2 institutions in 1 country.

Aleksandar JovanovskiDepartment of Clinical and Biological Sciences, University of Turin, 10043 Turin, Italy.ORCID 0000-0001-8221-3357
Jessica PetitiDepartment of Clinical and Biological Sciences, University of Turin, 10043 Turin, Italy.ORCID 0000-0001-8640-2462
Emilia GiuglianoDivision of Internal Medicine and Hematology, San Luigi Gonzaga Hospital, Orbassano, 10043 Turin, Italy.
Enrico Marco GottardiDivision of Internal Medicine and Hematology, San Luigi Gonzaga Hospital, Orbassano, 10043 Turin, Italy.
Giuseppe SaglioDepartment of Clinical and Biological Sciences, University of Turin, 10043 Turin, Italy.
Daniela CilloniDepartment of Clinical and Biological Sciences, University of Turin, 10043 Turin, Italy.ORCID 0000-0001-6346-4791
Carmen FavaDepartment of Clinical and Biological Sciences, University of Turin, 10043 Turin, Italy.
University of Turin · ITOspedale San Luigi Gonzaga · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The introduction of tyrosine kinase inhibitors in 2001 as a targeted anticancer therapy has significantly improved the quality of life and survival of patients with chronic myeloid leukemia. At the same time, with the introduction of tyrosine kinase inhibitors, the need for precise monitoring of the molecular response to therapy has emerged. Starting with a qualitative polymerase chain reaction, followed by the introduction of a quantitative polymerase chain reaction to determine the exact quantity of the transcript of interest-p210 BCR-ABL1, molecular monitoring in patients with chronic myeloid leukemia was internationally standardized. This enabled precise monitoring of the therapeutic response, unification of therapeutic protocols, and comparison of results between different laboratories. This review aims to summarize the steps in the diagnosis and molecular monitoring of p210 BCR-ABL1, as well as to consider the possible future application of a more sophisticated method such as digital polymerase chain reaction.

Indexed as

BCR-ABL1Chronic myeloid leukemiaconversion factorinternational scaleMMRmolecular monitoring

Identifiers

PMID33172063
PMCPMC7694607
OpenAlexW3097942101

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.