Evidence map›Paper›PMID 33240318›Full record

ArticleFrontiers in genetics2020

Application of Next-Generation Sequencing for Genetic Diagnosis in Neonatal Intensive Care Units: Results of a Multicenter Study in China.

Tianwen Zhu, Xiaohui Gong, Fei Bei, Li Ma, Yan Chen, Yonghong Zhang, Xia Wang, Jingjing Sun, Jian Wang, Gang Qiu and 3 more

Abstract read
In one paragraph

Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
–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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  6. Article
  7. Article
  8. Article
  9. [Clinical practice of whole-genome sequencing in the rapid diagnosis of critically ill neonates].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2023
    Article
  10. A novelMolecular medicine reports · 2022
    Article
  11. Article
  12. Detection and impact of genetic disease in a level IV neonatal intensive care unit.Journal of perinatology : official journal of the California Perinatal Association · 2022
    Article
  13. 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

13 authors.

Tianwen ZhuDepartment of Neonatology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xiaohui GongDepartment of Neonatology, Shanghai Children's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Fei BeiDepartment of Neonatology, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Li MaDepartment of Neonatology, Shanghai Children's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yan ChenDepartment of Neonatology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yonghong ZhangDepartment of Neonatology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xia WangDepartment of Neonatology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jingjing SunDepartment of Neonatology, Shanghai Children's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jian WangDepartment of Medical Genetics and Molecular Diagnostic Laboratory, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Gang QiuDepartment of Neonatology, Shanghai Children's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jianhua SunDepartment of Neonatology, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yu SunDepartment of Pediatric Endocrinology/Genetics, Xinhua Hospital, Shanghai Institute for Pediatric Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yongjun ZhangDepartment of Neonatology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To identify next-generation-sequencing (NGS) clinical usability and to propose a standard diagnostic routine for critically ill infants, aged less than 100 days and suspected of having a genetically heterogeneous condition, a retrospective study was conducted between January 2016 and December 2018 at neonatal intensive care units (NICUs) of three tertiary hospitals in Shanghai, China. Whole-exome sequencing (WES) or panel sequencing was performed on 307 patients. Trio-WES, trio-panel, proband-WES, and proband-panel diagnostic yields were 39.71% (83/209), 68.75% (22/32), 59.09% (26/44), and 33.33% (4/12), respectively. Definitive molecular diagnoses of 142 infants (46.25%) uncovered 99 disorders; 21 disorders displayed on 44.37% of the diagnosed patients. Genetic etiologies were identified for 61.73% (50/81) of the deceased infants. One in three (29.58%) diagnosed infants exhibited one of the following four clinical traits which had a higher odds of diagnostic rate: integument abnormality (adjusted odds ratio [aOR], 19.7; 95% confidence interval [CI], 2.5-156.3), complex immune-related phenotypes (aOR, 9.2; 95% CI, 1.4-83.5), mixed nervous system phenotypes and congenital anomalies (aOR, 5.0; 95% CI, 1.3-19.1), or mixed metabolism and nervous system phenotypes (aOR, 4.5; 95% CI, 1.0-21.5). Our results demonstrated that NGS was an effective diagnostic tool. Infants exhibiting integument, complex immune-related conditions, metabolism, and nervous signs have higher chances of carrying variants in known disease-causing genes. The number of specific phenotypes could be used as an independent predictor of a positive molecular diagnosis, rather than an isolated abnormality. We developed a molecular diagnostic procedure for the use of NGS for diagnosis in Chinese NICU population based on individual characteristics.

Indexed as

critically ill infantsdiagnostic proceduregenetic etiologynext-generation sequencingNICUphenotyping

Identifiers

PMID33240318
PMCPMC7677510

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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.