Evidence map›Paper›PMID 33792848›Full record

ArticleMolecular diagnosis & therapy2021

Optimizing the Diagnostic Strategy to Identify Genetic Abnormalities in Miscarriage.

Jong-Mi Lee, So Young Shin, Guk Won Kim, Woo Jeng Kim, Jeong Ha Wie, Subeen Hong, Dain Kang, Hayoung Choi, Jisook Yim, Yonggoo Kim and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Molecular diagnosis & therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

7 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

12 authors at 4 institutions in 2 countries.

Jong-Mi LeeDepartment of Laboratory Medicine, College of Medicine, The Catholic University of Korea, 222 Banpodaero, Seocho-gu, Seoul, 06591, South Korea.
So Young ShinDepartment of Obstetrics and Gynecology, College of Medicine, Kyung Hee University Hospital, Kyung Hee University, 23, Kyung Hee Dae-ro, Dongdaemun-gu, Seoul, 02447, South Korea.
Guk Won KimDepartment of Obstetrics and Gynecology, College of Medicine, The Catholic University of Korea, 222 Banpodaero, Seocho-gu, Seoul, 06591, South Korea.
Woo Jeng KimDepartment of Obstetrics and Gynecology, College of Medicine, The Catholic University of Korea, 222 Banpodaero, Seocho-gu, Seoul, 06591, South Korea.
Jeong Ha WieDepartment of Obstetrics and Gynecology, College of Medicine, The Catholic University of Korea, 222 Banpodaero, Seocho-gu, Seoul, 06591, South Korea.
Subeen HongDepartment of Obstetrics and Gynecology, College of Medicine, The Catholic University of Korea, 222 Banpodaero, Seocho-gu, Seoul, 06591, South Korea.
Dain KangCatholic Genetic Laboratory Center, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 222 Banpodaero, Seocho-gu, Seoul, 06591, South Korea.
Hayoung ChoiCatholic Genetic Laboratory Center, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 222 Banpodaero, Seocho-gu, Seoul, 06591, South Korea.
Jisook YimDepartment of Laboratory Medicine, College of Medicine, The Catholic University of Korea, 222 Banpodaero, Seocho-gu, Seoul, 06591, South Korea.
Yonggoo KimDepartment of Laboratory Medicine, College of Medicine, The Catholic University of Korea, 222 Banpodaero, Seocho-gu, Seoul, 06591, South Korea.
Myungshin Kim *Department of Laboratory Medicine, College of Medicine, The Catholic University of Korea, 222 Banpodaero, Seocho-gu, Seoul, 06591, South Korea. microkim@catholic.ac.kr.ORCID 0000-0001-8632-0168
In Yang Park *Department of Obstetrics and Gynecology, College of Medicine, The Catholic University of Korea, 222 Banpodaero, Seocho-gu, Seoul, 06591, South Korea. ooooobbbbb@catholic.ac.kr.
Catholic University of Korea · KRThe Catholic University of Korea Seoul St. Mary's Hospital · KRKyung Hee University · KRSt. Mary's Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe single most common cause of miscarriage is genetic abnormality.

objectiveWe conducted a prospective cohort study to compare the performance of conventional karyotyping and chromosomal microarray analysis (CMA) using array comparative genomic hybridization (array-CGH) and single nucleotide polymorphism array (SNP-array) to identify genetic abnormalities in miscarriage specimens.

methodsA total of 63 miscarriage specimens were included. Conventional karyotyping, array-CGH, and SNP-array were performed and the results compared.

resultsGenetic abnormalities were detected in 31 cases (49.2%) by at least one testing modality. Single autosomal trisomy was the most common defect (71.0%), followed by polyploidy (16.1%), multiple aneuploidy (9.7%), and monosomy X (3.2%). Mosaicisms were identified in four cases and confirmed by fluorescence in situ hybridization (FISH) using appropriate probes. SNP-array had a higher detection rate of genetic abnormalities than array-CGH (93.5 vs. 77.4%), and conventional karyotyping had the lowest detection rate (76.0%). SNP-array enabled the detection of all types of genetic abnormalities, including polyploidy.

conclusionsAlthough conventional karyotyping and FISH are still needed, SNP-array represents the first choice for miscarriage because the technique showed excellent performance in the detection of genetic abnormalities and minimized the probability of testing failure as well as time, costs, and labor.

Indexed as

Polymorphism, Single NucleotideAbortion, SpontaneousAdultChromosome AberrationsComparative Genomic HybridizationFemaleHumansIncidenceIn Situ Hybridization, FluorescenceKaryotypingMaternal AgePolyploidyPregnancyProspective StudiesRepublic of Korea

Identifiers

PMID33792848
PMCPMC8139896
OpenAlexW3148065025

What OpenQuestion holds

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LicenceCC BY-NC
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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.