Evidence map›Paper›PMID 34330281›Full record

ArticleBMC medical genomics2021

Novel method of real-time PCR-based screening for common fetal trisomies.

So Yeon Kim, Seung Mi Lee, Sun Min Kim, Byoung Jae Kim, Ja Nam Koo, Ig Hwan Oh, Sohee Oh, Chan-Wook Park, Jong Kwan Jun, Ji Hyae Lim and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2021. 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
2.3field-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

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
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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 5 institutions in 1 country.

So Yeon Kim *Department of Obstetrics and Gynecology, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea.
Seung Mi Lee *Department of Obstetrics and Gynecology, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea.
Sun Min KimDepartment of Obstetrics and Gynecology, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea.
Byoung Jae KimDepartment of Obstetrics and Gynecology, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea.
Ja Nam KooSeoul Women's Hospital, Incheon, Korea.
Ig Hwan OhSeoul Women's Hospital, Incheon, Korea.
Sohee OhDepartment of Biostatistics, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul, Korea.
Chan-Wook ParkDepartment of Obstetrics and Gynecology, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea.
Jong Kwan JunDepartment of Obstetrics and Gynecology, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea.
Ji Hyae LimCenter for Prenatal Biomarker Research, CHA Advanced Research Institute, Gyeonggi-do, Korea.
Hyun Mee Ryu *Center for Prenatal Biomarker Research, CHA Advanced Research Institute, Gyeonggi-do, Korea. hmryu@cha.ac.kr.
Joong Shin Park *Department of Obstetrics and Gynecology, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea. jsparkmd@snu.ac.kr.
Seoul National University · KRIncheon Medical Center · KRSeoul Metropolitan Government · KRSNUH SMG-SNU Boramae Medical Center · KRUlsan College · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe non-invasive prenatal test (NIPT) is based on next generation sequencing (NGS) and is used for screening for fetal trisomy. However, it is time-consuming and technically difficult. Recently, peptide nucleic acid (PNA) probe-based real-time polymerase chain reaction (RT-PCR) was developed. This study aimed to examine the performance of the RT-PCR-based NIPT for screening of common fetal trisomies

methodsFrom stored maternal plasma, RT-PCR was performed using Patio™ NIPT Detection Kit. In melting curve analysis, the height of melting peaks of target chromosome and reference chromosome was calculated as a peak ratio. The adjusted peak ratio of 8 markers with correction factors in each target chromosome was summated and calculated to z-score. The cut-off value for each target chromosome was established for classification (low risk vs. high risk for trisomy) whose performance was obtained in the validation phase.

results330 plasma samples from pregnant women with normal fetus and 22 trisomy cell-line samples were used to establish the optimal cut-off values for z-score of each target chromosome. In the validation phase, 1023 samples from pregnant women including 22 cases with fetal trisomy and 1001 cases of normal control were used. The RT-PCR-based NIPT showed 95.45% sensitivity [95% confidence interval (CI) 77.16-99.88%], 98.60% specificity (95% CI 97.66-99.23%), and 98.53% accuracy (95% CI 97.59-99.18%) for the identification of trisomy 21, 18, or 13. Of 1023 samples, fifteen cases were mismatched for classification [one case as a false negative (false negative rate: 4.5%) and 14 cases as false positives (false positive rate: 1.4%)].

conclusionThe RT-PCR-based NIPT showed high sensitivity and specificity for the detection of common fetal trisomies and it could be a feasible alternative to NGS-based NIPT.

Indexed as

Real-Time Polymerase Chain ReactionTrisomyAdultFemaleFetusHumansNoninvasive Prenatal TestingPregnancyPrenatal DiagnosisFetal trisomyNon-invasive prenatal testPeptide nucleic acidPrenatal diagnosisReal-time polymerase chain reaction

Identifiers

PMID34330281
PMCPMC8323267
OpenAlexW3186955755

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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.