Evidence map›Paper›PMID 35804426›Full record

ArticleOrphanet journal of rare diseases2022

Clinical evaluation of non-invasive prenatal screening for the detection of fetal genome-wide copy number variants.

Wenli Wang, Fengying Lu, Bin Zhang, Qin Zhou, Yingping Chen, Bin Yu

Open access · goldAbstract read
In one paragraph

Article in Orphanet journal of rare diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Wenli Wang *Changzhou Maternal and Child Health Care Hospital, No.16 Ding Xiang Road, Changzhou, 213003, Jiangsu, China.
Fengying Lu *Changzhou Maternal and Child Health Care Hospital, No.16 Ding Xiang Road, Changzhou, 213003, Jiangsu, China.
Bin ZhangChangzhou Maternal and Child Health Care Hospital, No.16 Ding Xiang Road, Changzhou, 213003, Jiangsu, China. icespringl@163.com.
Qin ZhouChangzhou Maternal and Child Health Care Hospital, No.16 Ding Xiang Road, Changzhou, 213003, Jiangsu, China.
Yingping ChenChangzhou Maternal and Child Health Care Hospital, No.16 Ding Xiang Road, Changzhou, 213003, Jiangsu, China.
Bin YuChangzhou Maternal and Child Health Care Hospital, No.16 Ding Xiang Road, Changzhou, 213003, Jiangsu, China. binyu@njmu.edu.cn.ORCID 0000-0001-7796-7314
Jingzhou Maternal and Child Health Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study explores and discusses the possible factors affecting the positive predictive value (PPV) of non-invasive prenatal screening (NIPS) for the detection of fetal copy number variants (CNVs) in pregnant women.

methodsNIPS was performed for 50,972 pregnant women and 212 cases were suspected as fetal CNVs. Post additional genetic counseling for these women, 96 underwent invasive prenatal diagnosis (amniocentesis), following which they received chromosomal microarray analysis (CMA). We analyzed the PPV of NIPS for the detection of fetal CNVs and the possible interference factors that could affect the PPV.

resultsAmong the 96 pregnant women that received prenatal diagnosis by CMA, 37 cases were confirmed to be true positive for fetal CNVs with a PPV of 38.5%. There was no significant difference between the women with different NIPS indications. Five cases were reported as the false positive and false negative of fetal CNVs and the differences were mainly reflected in the inconsistency of chromosome fragments. Depending on the sizes of the CNVs, the PPVs were 48.7% for CNVs < 3 Mb, 41.4% for CNVs falling within 3 ~ 5 Mb, 42.9% for the CNVs falling within 5 ~ 10 Mb, and 14.3% for CNVs > 10 Mb. Based on the chromosomal locations of CNVs, the PPV(4.8%) of the chromosomes of group C(including chromosomes 6 ~ 12), was lower than that of the other groups (41.2% ~ 66.7%) (p = 0.021). However, there were no significant differences in the CNV characteristics, fetal fractions, unique reads, and the Z-scores between these groups.

conclusionNIPS with a low-coverage sequencing depth has a certain effect on detection of fetal CNVs with the PPV of 38.5%. Chromosomal locations of CNVs may be the main factor that influences its effect. This study can contribute to an increased accuracy in genetic counseling and in predicting NIPS results that are positive for fetal CNVs.

Indexed as

Chromosome DisordersDNA Copy Number VariationsAneuploidyFemaleFetusHumansPregnancyPrenatal DiagnosisChromosome microarray analysisCopy number variantsNon-invasive prenatal screeningPositive predictive valuePrenatal diagnosis

Identifiers

PMID35804426
PMCPMC9264683
OpenAlexW4284891684

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.