Evidence map›Paper›PMID 31687045›Full record

ArticleMolecular cytogenetics2019

Genetic analysis of products of conception using a HLPA/SNP-array strategy.

Jun Mao, Huiling Wang, Haibo Li, Xiaoyan Song, Ting Wang, Jingjing Xiang, Hong Li

Open access · goldAbstract read
In one paragraph

Article in Molecular cytogenetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.9field-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

11 citing papers in PubMed, 15 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

7 authors at 1 institution in 1 country.

Jun Mao *1Center for Reproduction and Genetics, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu China.
Huiling Wang *3Department of Gynaecology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu China.
Haibo Li *Ningbo Municipal Key Laboratory of Comprehensive Prevention and Treatment of Birth Defects, Ningbo Women & Children's Hospital, Ningbo, Zhejiang, China.
Xiaoyan Song1Center for Reproduction and Genetics, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu China.
Ting Wang1Center for Reproduction and Genetics, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu China.
Jingjing Xiang1Center for Reproduction and Genetics, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu China.ORCID 0000-0001-7191-7156
Hong Li1Center for Reproduction and Genetics, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu China.
Suzhou Municipal Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFetal chromosomal abnormalities was the most frequent cause of miscarriage, and the traditional testing method G-banded karyotyping has limitations. Then high-throughput ligation-dependent probe amplification (HLPA) and single nucleotide polymorphism array (SNP-array) were introduced for genetic analysis on products of conception (POC).

methodsHLPA and SNP-array analysis were combined. POC samples were initially tested using HLPA, followed by SNP-array analysis on samples that were found to be normal by HLPA.

resultsOf the 326 POC samples tested, the overall abnormality rate was 54.6% (178/326), including 44.8% (146/326) chromosomal abnormalities identified by HLPA and 9.8% (32/326) additional chromosomal abnormalities further detected by SNP-array.

conclusionsThe combination of HLPA and SNP-array analysis is an efficient and cost-effective strategy for genetic analysis of POC.

Indexed as

chromosomal abnormalityHLPAmiscarriageproducts of conceptionSNP-array

Identifiers

PMID31687045
PMCPMC6822274
OpenAlexW2971778568

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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.