Evidence map›Paper›PMID 31737189›Full record

ArticleAmerican journal of translational research2019

Experimental factors are associated with fetal fraction in size selection noninvasive prenatal testing.

Longwei Qiao, Jun Mao, Minjuan Liu, Yinghua Liu, Xiaoyan Song, Hui Tang, Qing Zhang, Hong Li, Yaojuan Lu, Yuting Liang and 1 more

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

9 citing papers in PubMed, 12 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

11 authors at 3 institutions in 1 country.

Longwei QiaoAffiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital Suzhou 215000, Jiangsu Province, China.
Jun MaoAffiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital Suzhou 215000, Jiangsu Province, China.
Minjuan LiuAffiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital Suzhou 215000, Jiangsu Province, China.
Yinghua LiuAffiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital Suzhou 215000, Jiangsu Province, China.
Xiaoyan SongAffiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital Suzhou 215000, Jiangsu Province, China.
Hui TangAffiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital Suzhou 215000, Jiangsu Province, China.
Qing ZhangAffiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital Suzhou 215000, Jiangsu Province, China.
Hong LiAffiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital Suzhou 215000, Jiangsu Province, China.
Yaojuan LuShenzhen Academy of Peptide Targeting Technology at Pingshan Shenzhen 518118, China.
Yuting LiangCenter for Clinical Laboratory, The First Affiliated Hospital of Soochow University Suzhou 215025, Jiangsu Province, China.
Ting WangAffiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital Suzhou 215000, Jiangsu Province, China.
Suzhou Municipal Hospital · CNShenzhen Academy of Aerospace Technology · CNSoochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Every year, 4-6 million pregnant women undergo noninvasive prenatal testing (NIPT), which is used worldwide for fetal aneuploidy screening. Adequate fetal cell-free DNA (cfDNA) is the critically important factor to ensure high sensitivity and specificity. In this study, we sought to increase the fetal fraction by adjusting experimental factors in the size selection for NIPT. CfDNA was extracted from 1495 pregnant women at 12-26 weeks of gestation for sequencing of shorter cfDNA NIPT (< 140 bp). Multivariable linear regression models were used to evaluate the association between experimental factors and fetal fraction. Nomograms for the likelihood of high fetal fraction (> 20%) were constructed according to significant factors in multivariable regression models. Our results suggested that cfDNA and library concentrations were negatively correlated with fetal fraction, and uniquely mapped reads were positively correlated with fetal fraction. Lower cfDNA and library concentrations, shorter cfDNA fragments, and higher uniquely mapped reads may be more conducive to obtaining higher fetal fractions. Furthermore, we constructed easy-to-use nomograms incorporating the maternal, fetal characteristics and experimental factors to precisely predict the probability of high fetal fraction with an area under the curve (AUC) of 0.773 (95% confidence interval: 0.749-0.797). Collectively, our maternal plasma cfDNA-based nomograms consider experimental factors that can be adjusted and may improve a laboratory's ability to obtain higher fetal cfDNA concentrations.

Indexed as

experimental factorsfetal fractionNoninvasive prenatal testing

Identifiers

PMID31737189
PMCPMC6834515
OpenAlexW3005195058

What OpenQuestion holds

Textmetadata
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.