Evidence map›Paper›PMID 32724345›Full record

ArticleOncology letters2020

Mutations in the BCR-ABL1 kinase domain in patients with chronic myeloid leukaemia treated with TKIs or at diagnosis.

Jingjing Liu, Haiping Yang, Xiuwen Xu, Shujuan Yi, Li Meng

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

16 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Characteristics ofLeukemia research reports · 2025
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. MolecularInternational journal of molecular sciences · 2023
    Article
  11. Review
  12. Article
  13. Article
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  16. Article
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

5 authors at 2 institutions in 1 country.

Jingjing LiuDepartment of Hematology, Tongji Hospital of Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China.
Haiping YangDepartment of Hematology, First Affiliated Hospital of Henan University of Science and Technology, Luoyang, Henan 471000, P.R. China.
Xiuwen XuDepartment of Hematology, Tongji Hospital of Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China.
Shujuan YiDepartment of Hematology, Tongji Hospital of Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China.
Li MengDepartment of Hematology, Tongji Hospital of Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China.
Tongji Hospital · CNFirst Affiliated Hospital of Henan University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the present study was to analyse the incidence of mutations in the BCR-ABL1 kinase region in patients with newly diagnosed or treated chronic myeloid leukaemia (CML), and the association between mutations clinicopathological characteristics. Samples were collected for mutation analysis from patients who exhibited tyrosine kinase inhibitor resistance following treatment or were in the accelerated or blast phase at diagnosis. The mutations in the breakpoint cluster region (BCR)-ABL proto-oncogene 1 (ABL1) kinase domain were evaluated using conventional sequencing or ultra-deep sequencing (UDS) of peripheral blood samples. Sanger sequencing and UDS of the cDNA region corresponding to the BCR-ABL1 kinase domain was performed. χ

Indexed as

chronic myeloid leukaemiamutationtyrosine kinase inhibitor resistance

Identifiers

PMID32724345
PMCPMC7377099
OpenAlexW3027762032

What OpenQuestion holds

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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.