Evidence map›Paper›PMID 36763299›Full record

ArticleJournal of assisted reproduction and genetics2023

Combined fetal fraction to analyze the Z-score accuracy of noninvasive prenatal testing for fetal trisomies 13, 18, and 21.

Jiexia Yang, Jing Wu, Dongmei Wang, Yaping Hou, Fangfang Guo, Qi Zhang, Haishan Peng, Yixia Wang, Aihua Yin

Abstract read
In one paragraph

Article in Journal of assisted reproduction and genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

9 authors.

Jiexia Yang *Medical Genetic Centre, Guangdong Women and Children Hospital, Guangzhou, 511400, Guangdong, China.
Jing Wu *Medical Genetic Centre, Guangdong Women and Children Hospital, Guangzhou, 511400, Guangdong, China.
Dongmei WangMedical Genetic Centre, Guangdong Women and Children Hospital, Guangzhou, 511400, Guangdong, China.
Yaping HouMedical Genetic Centre, Guangdong Women and Children Hospital, Guangzhou, 511400, Guangdong, China.
Fangfang GuoMedical Genetic Centre, Guangdong Women and Children Hospital, Guangzhou, 511400, Guangdong, China.
Qi ZhangMedical Genetic Centre, Guangdong Women and Children Hospital, Guangzhou, 511400, Guangdong, China.
Haishan PengMedical Genetic Centre, Guangdong Women and Children Hospital, Guangzhou, 511400, Guangdong, China.
Yixia WangMedical Genetic Centre, Guangdong Women and Children Hospital, Guangzhou, 511400, Guangdong, China.
Aihua YinMedical Genetic Centre, Guangdong Women and Children Hospital, Guangzhou, 511400, Guangdong, China. yinaiwa@vip.126.com.ORCID http://orcid.org/0000-0002-0324-5260

Funding

Guangdong Province Basic and Applied Basic Research Funding Project 2019A1515111000Guangdong Province Basic and Applied Basic Research Funding Project 2020A1515110779Guangzhou Basic and Applied Basic Research Funding Project 202102080015
6 · The paper itself

Abstract

objectiveThis study aims to evaluate the correlation combined fetal fraction and Z-score for fetal trisomies 13, 18, and 21 of NIPT by the semiconductor sequencing platform and further analyze the differences of different sequencing depths.

methodsA cohort of 61,581 pregnancies were recruited for NIPT. Invasive prenatal diagnostic confirmation is recommended in all high-risk NIPT cases. Logistic regression and rank correlation analysis were applied to analyze the relationship between different parameters. ROC curve analysis was adopted to analyze the cutoff values of Z-score and fetal fraction.

resultsA total of 278 common trisomy pregnancies were verified in 377 NIPT-positive results. The fitted logistic regression models revealed that Z-scores of NIPT-positive results were significantly associated with PPVs (p < 0.05). The ROC curve analysis showed that the optimal cutoff value of Z-scores for T21, T18, and T13 was 7.597, 4.944, and 9.135 for NIPT and 9.489, 8.004, and 12.4 for NIPT-plus. If combing fetal fraction as another evaluation factor, the PPV of trisomy 21 gradually improved. We analyzed the correlation between the fetal fraction and the PPV, which revealed that the fetal fraction was significantly correlated with PPV. By analyzing the PPV of different groups divided by the associated criteria obtained from ROC curve, the PPV of high Z-score and high fetal fraction is higher in groups of Z-score > the optimal cutoff value.

conclusionThe results of this study show that the fetal fraction is significantly correlated with the PPV. Combining fetal fraction with Z-score is significantly better than in groups of Z-score-associated criteria; clinicians can give more accurate and efficient prenatal genetic counseling.

Indexed as

Down SyndromeNoninvasive Prenatal TestingFemaleHumansPregnancyPrenatal DiagnosisTrisomyTrisomy 13 SyndromeFetal fractionNoninvasive prenatal testingPositive predictive value (PPV)Post-test consultationZ-score

Identifiers

PMID36763299
PMCPMC10224900

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.