Evidence map›Paper›PMID 24474641›Full record

ArticleInternational journal of hematology2014

Chromosome abnormalities in T-cell acute lymphoblastic leukemia in Korea.

Joonhong Park, Myungshin Kim, Hae Kyung Lee, Yonggoo Kim, Kyungja Han, Jungok Son, Seok Lee, Nack-Gyun Chung, Bin Cho

Abstract read
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In one paragraph

Article in International journal of hematology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 24% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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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

9 authors at 1 institution in 1 country.

Joonhong ParkDepartment of Laboratory Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Myungshin Kim
Hae Kyung Lee
Yonggoo Kim
Kyungja Han
Jungok Son
Seok Lee
Nack-Gyun Chung
Bin Cho
Catholic University of Korea · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the present study was to analyze chromosome abnormalities in Korean patients with T-cell acute lymphoblastic leukemia (T-ALL). A total of 65 patients with newly diagnosed T-ALL were enrolled in the study from December 2004 to December 2011. Chromosome analysis was performed at diagnosis on short-term cultures of bone marrow specimens. Of these 65 patients, abnormal karyotypes were found in 50 (77 %). Numerical and structural chromosome abnormalities were identified in 16 (25 %) and 47 (72 %) patients, respectively. Deletion was the most common structural abnormality (48 %), followed by translocation (29 %). Overall survival (OS) and relapse-free survival (RFS) outcome were unaffected by the number and/or type of chromosome abnormalities in both childhood and adult T-ALL; however, the OS interval was longer for childhood patients than for adult patients in the entire cohort (P = 0.0003). Similarly, patients with first complete remission (CR) showed a better OS than those who failed to achieve first CR (P < 0.0001). There was a negative clinical impact in adult patients and patients without first CR according to multivariate analysis. This study helps to fill the gap regarding chromosome findings in T-ALL and may lead to identification of the molecular background behind phenotypic differences.

Indexed as

Chromosome AberrationsAdolescentAdultAntineoplastic Combined Chemotherapy ProtocolsChildChild, PreschoolChromosome DeletionFemaleHumansMaleMiddle AgedMultivariate AnalysisPrecursor Cell Lymphoblastic Leukemia-LymphomaPrecursor T-Cell Lymphoblastic Leukemia-LymphomaPrognosisRecurrence

Identifiers

PMID24474641
OpenAlexW2043819579

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.