Evidence map›Paper›PMID 28871208›Full record

ArticleScientific reports2017

Identify latent chromosomal aberrations relevant to myelodysplastic syndromes.

Qibin Song, Yuxin Chu, Yi Yao, Min Peng, Weihong Yang, Xiaoqing Li, Shiang Huang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. [Research progress on uniparental disomy in cancer].Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2019
    Review
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.

Qibin SongCancer Center, Renmin Hospital of Wuhan University, Wuhan, China. qibinsong@163.com.
Yuxin ChuCancer Center, Renmin Hospital of Wuhan University, Wuhan, China.
Yi YaoCancer Center, Renmin Hospital of Wuhan University, Wuhan, China.
Min PengCancer Center, Renmin Hospital of Wuhan University, Wuhan, China.
Weihong YangMolecular department, Kindstar global, Wuhan, China.
Xiaoqing LiMolecular department, Kindstar global, Wuhan, China.
Shiang HuangMolecular department, Kindstar global, Wuhan, China.
Renmin Hospital of Wuhan University · CNWuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myelodysplastic syndromes (MDS) are a group of heterogeneous hematologic malignancies. This study aims to identify latent chromosomal abnormalities relevant to MDS, which may optimize the current diagnosis of MDS. Affymetrix CytoScan 750 K microarray platform was utilized to perform a genome-wide detection of chromosomal aberrations in the bone marrow cells of the patients. The findings were compared with the results from traditional karyotypic analysis and FISH to reveal latent chromosomal aberrations. Chromosomal gain, loss, and UPD, and complex karyotypes were identified in those samples. In addition to established cytogenetic aberrations detected by karyotypic analysis, CytoScan 750 K microarray also detected cryptic chromosomal lesions in MDS. Those latent defects underlying multiple gene mutations may construe the clinical variability of MDS. In Conclusion, Affymetrix CytoScan 750 K microarray is efficient in identifying latent chromosomal aberrations in MDS.

Indexed as

Chromosome AberrationsAdolescentAdultAgedAged, 80 and overChildChild, PreschoolChromosome BandingComparative Genomic HybridizationDNA Copy Number VariationsFemaleHumansIn Situ Hybridization, FluorescenceKaryotypeKaryotypingMale

Identifiers

PMID28871208
PMCPMC5583229
OpenAlexW2752840524

What OpenQuestion holds

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LicenceCC BY
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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.