Evidence map›Paper›PMID 33190177›Full record

ReviewCurrent oncology reports2020

Prognostic Impact of Somatic Copy Number Alterations in Childhood B-Lineage Acute Lymphoblastic Leukemia.

Beatriz Rosales-Rodríguez, Juan Carlos Núñez-Enríquez, Juan Manuel Mejía-Aranguré, Haydeé Rosas-Vargas

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current oncology reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 32% 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

4 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. [Research progress on copy number alterations in pediatric B-cell acute lymphoblastic leukemia].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2025
    Review
  3. Article
  4. 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

4 authors at 3 institutions in 2 countries.

Beatriz Rosales-RodríguezUnidad de Investigación Médica en Genética Humana, Hospital de Pediatría, Centro Médico Nacional Siglo XXI, IMSS, 06720, Ciudad de México, Mexico.
Juan Carlos Núñez-EnríquezUnidad de Investigación Médica en Epidemiología Clínica, Hospital de Pediatría, Centro Médico Nacional Siglo XXI, IMSS, 06720, Ciudad de México, Mexico.
Juan Manuel Mejía-AranguréUnidad de Investigación Médica en Epidemiología Clínica, Hospital de Pediatría, Centro Médico Nacional Siglo XXI, IMSS, 06720, Ciudad de México, Mexico. juan.mejiaa@imss.gob.mx.
Haydeé Rosas-VargasUnidad de Investigación Médica en Genética Humana, Hospital de Pediatría, Centro Médico Nacional Siglo XXI, IMSS, 06720, Ciudad de México, Mexico. hayrov@gmail.com.ORCID 0000-0003-0635-8284
Centro Medico Nacional Siglo XXI · MXSecretaria de Salud · HNUniversidad Autónoma de la Ciudad de México · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewThe high prevalence of relapse in pediatric B-lineage acute lymphoblastic leukemia (B-ALL) despite the improvements achieved using current risk stratification schemes, demands more accurate methods for outcome prediction. Here, we provide a concise overview about the key advances that have expanded our knowledge regarding the somatic defects across B-ALL genomes, particularly focusing on copy number alterations (CNAs) and their prognostic impact. RECENT

findingsThe identification of commonly altered genes in B-ALL has inspired the development of risk classifiers based on copy number states such as the IKZF1

Indexed as

DNA Copy Number VariationsChildHumansPrecursor Cell Lymphoblastic Leukemia-LymphomaPrognosisB-ALLCopy number alterationsPediatric leukemiaRisk stratification

Identifiers

PMID33190177
OpenAlexW3105266895

What OpenQuestion holds

Textmetadata
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.