Evidence map›Paper›PMID 34996887›Full record

ArticleScientific reports2022

Simple and rapid detection of common fetal aneuploidies using peptide nucleic acid probe-based real-time polymerase chain reaction.

Subeen Hong, Seung Mi Lee, Sohee Oh, So Yeon Kim, Young Mi Jung, Sun Min Kim, Chan-Wook Park, Jong Kwan Jun, Byoung Jae Kim, Joong Shin Park

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.7field-weighted citation impact, top 11% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
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

10 authors at 4 institutions in 1 country.

Subeen Hong *Department of Obstetrics and Gynecology, Seoul National University College of Medicine Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, South Korea.
Seung Mi Lee *Department of Obstetrics and Gynecology, Seoul National University College of Medicine Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, South Korea.
Sohee OhDepartment of Biostatistics, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul, South Korea.
So Yeon KimDepartment of Obstetrics and Gynecology, Seoul National University College of Medicine Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, South Korea.
Young Mi JungDepartment of Obstetrics and Gynecology, Seoul National University College of Medicine Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, South Korea.
Sun Min KimDepartment of Obstetrics and Gynecology, Seoul National University College of Medicine Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, South Korea.
Chan-Wook ParkDepartment of Obstetrics and Gynecology, Seoul National University College of Medicine Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, South Korea.
Jong Kwan JunDepartment of Obstetrics and Gynecology, Seoul National University College of Medicine Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, South Korea.
Byoung Jae KimDepartment of Obstetrics and Gynecology, Seoul National University College of Medicine Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, South Korea.
Joong Shin ParkDepartment of Obstetrics and Gynecology, Seoul National University College of Medicine Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, South Korea. jsparkmd@snu.ac.kr.
Seoul National University Hospital · KRSeoul Metropolitan Government · KRSeoul National University · KRSNUH SMG-SNU Boramae Medical Center · KR

Funding

Ministry of Trade, Industry and Energy (MOTIE) and the Korea Institute for the Advancement of Technology (KIAT) N0002392, 2017
6 · The paper itself

Abstract

To examine the detection performance of a peptide nucleic acid (PNA) probe-based real-time time polymerase chain reaction (PCR) assay to detect common aneuploidies. Using amniotic fluid samples, PNA probe based real-time PCR (Patio DEP Detection Kit; SeaSun Biomaterials, Korea) assay was performed. PNA probe was designed to hybridize to similar sequences located on different segments of target chromosomes (21, 18, and 13) and a reference chromosome. Amplification of target sequences and melting curve analysis was performed. When analyzing the melting curve, the ratio of the peak height of the target and reference chromosome was calculated and determined as aneuploidy if the ratio of peak height was abnormal. All the results from the PNA probe-based real-time PCR and melting curve analyses were compared to those from conventional karyotyping. Forty-two cases with common aneuploidies (24 of trisomy 21, 12 of trisomy 18, and 6 of trisomy 13) and 131 cases with normal karyotype were analyzed. When comparing the karyotyping results, the sensitivity and specificity of the PNA probe-based real-time PCR assay were both 100%. The level of agreement was almost perfect (k = 1.00). PNA real-time PCR assay is a rapid and easy method for detecting common aneuploidies.

Indexed as

AneuploidyChromosomes, HumanGenetic TestingNucleic Acid ProbesPeptide Nucleic AcidsPrenatal DiagnosisReal-Time Polymerase Chain ReactionAmniocentesisAmniotic FluidFemaleGenetic Diseases, InbornHumansKaryotypingPredictive Value of TestsPregnancyReproducibility of ResultsNucleic Acid ProbesPeptide Nucleic Acids

Identifiers

PMID34996887
PMCPMC8742004
OpenAlexW4205684116

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.