Evidence map›Paper›PMID 29643044›Full record

ArticleNan fang yi ke da xue xue bao = Journal of Southern Medical University2018

[Clinical value of genome-wide chromosome microarray technique in diagnosis of fetal cerebral ventriculomegaly].

Yi-Xian Peng, Yu-Wen Qiu, Qing-Xian Chang, Yan-Hong Yu, Mei Zhong, Kun-Rui Li

Abstract read
In one paragraph

Article in Nan fang yi ke da xue xue bao = Journal of Southern Medical University, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
1.1field-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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
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

6 authors at 1 institution in 1 country.

Yi-Xian PengDepartment of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China. E-mail: 928309396@qq.com.
Yu-Wen Qiu
Qing-Xian Chang
Yan-Hong Yu
Mei Zhong
Kun-Rui Li
Nanfang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the clinical value of gnome-wide chromosome microarray (CMA) technique in genetic etiological diagnosis of fetal cerebral ventriculomegaly.

methodsA retrospective analysis was conducted in 109 women with singleton pregnancy, who were admitted in Nanfang Hospital with the diagnosis of cerebral ventriculomegaly in the fetuses by ultrasound between January, 2014 and December, 2016. Routine karyotype analysis and chromosome microarray analysis were performed to identify the chromosomal abnormalities in the fetuses.

resultsKaryotype analysis detected chromosomal abnormalities at a rate of 12.84% in these fetuses, significantly lower than the rate of 26.60% with CMA technique (P=0.004); the combined detection rate of the two techniques was 28.44%. In 17 cases, karyotype analysis yielded normal results while CMA microarray showed abnormalities with an extra abnormal detection rate of 15.60%. Among the 17 fetuses with chromosomal abnormalities, 6 had micro-deletion, 9 had micro-duplication, 1 had both micro-deletion and micro-duplication, and 1 had heterozygous loss of single parent diploid.

conclusionCMA technique can be used to detect abnormal chromosomal copy numbers in fetuses with cerebral ventriculomegaly to increase the detection rate of chromosomal abnormalities and facilitate prenatal consultation and prognostic evaluation.

Indexed as

Oligonucleotide Array Sequence AnalysisChromosome AberrationsChromosome DisordersFemaleHumansHydrocephalusKaryotypingPregnancyPrenatal DiagnosisRetrospective StudiesUltrasonography, Prenatal

Identifiers

PMID29643044
PMCPMC6744160
OpenAlexW2929949001

What OpenQuestion holds

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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.