Evidence map›Paper›PMID 35659298›Full record

ArticleBMC medical genomics2022

The effect of hemolysis on quality control metrics for noninvasive prenatal testing.

Yaya Guo, Dandan Yu, Kaisu Zhou, Jie Wang, Dongzhu Lei, Zhenpeng Xu, Weijiang Tang, Miaofeng Wu, Xingxing Fang, Jiankun Shen and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 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
1.1field-weighted citation impact, top 21% 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, 3 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.

Yaya Guo *BGI College, Zhengzhou University, Zhengzhou, 450007, China.
Dandan Yu *BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China.
Kaisu Zhou *Department of Obstetrics, Shenzhen Second People's Hospital, Shenzhen, 518000, China.
Jie WangDepartment of Genetics, Inner Mongolia Maternity and Child Health Care Hospital, Hohhot, 010020, China.
Dongzhu LeiCenter of Prenatal Diagnosis, Chenzhou No.1 People's Hospital, Chenzhou, 423000, China.
Zhenpeng XuBGI-Wuhan Clinical Laboratories, BGI-Shenzhen, Wuhan, 430074, China.
Weijiang TangBGI-Wuhan Clinical Laboratories, BGI-Shenzhen, Wuhan, 430074, China.
Miaofeng WuClinical Laboratory of BGI Health, BGI-Shenzhen, Shenzhen, 518083, China.
Xingxing FangBGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China.
Jiankun ShenBGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China.
Zhiyu PengBGI College, Zhengzhou University, Zhengzhou, 450007, China.ORCID 0000-0003-2349-750X
Jiale XiangBGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China. xiangjiale@bgi.com.ORCID 0000-0001-9338-5525
BGI Group (China) · CNChenzhou First People's Hospital · CNInner Mongolia Maternal and Child Health · CNShenzhen Second People's Hospital · CNZhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNoninvasive prenatal testing (NIPT) is the testing of blood samples from pregnant women to screen for fetal risk of chromosomal disorders. Even though in vitro hemolysis of blood specimens is common in clinical laboratories, its influence on NIPT has not been well investigated.

methodsPeripheral blood samples were collected from 205 pregnant women and categorized according to the concentration of free hemoglobin in the plasma. After performing NIPT using massively parallel sequencing, the quality control metrics were analyzed and compared with samples that did not undergo hemolysis or samples redrawn from the same women.

resultsThe specimens were divided into four groups based on the concentration of free hemoglobin: Group I (0-1 g/L, n = 53), Group II (1-2 g/L, n = 97), Group III (2-4 g/L, n = 30), and Group IV (> 4 g/L, n = 25). There was no significant difference in the quality control metrics of clinical samples with slight or moderate hemolysis (Group II and III). However, samples with severe hemolysis (Group IV) showed a significantly increased rate of duplicated reads (duplication rate) and fetal fraction, as well as decreased library concentration compared with samples without hemolysis. Moreover, the increase in fetal fraction caused by hemolysis was confirmed by redrawing blood samples in Group IV.

conclusionFor NIPT using massively parallel sequencing, samples with slight or moderate hemolysis (≤ 4 g/L) are acceptable. However, careful consideration should be taken regarding the use of severely hemolyzed samples (> 4 g/L), since they might increase the risk of test failure.

Indexed as

Noninvasive Prenatal TestingBenchmarkingFemaleHemoglobinsHemolysisHumansPregnancyPrenatal DiagnosisQuality ControlHemoglobinscfDNAHemoglobinHemolysisNoninvasive prenatal testingQuality control metrics

Identifiers

PMID35659298
PMCPMC9167518
OpenAlexW4281755559

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.