Evidence map›Paper›PMID 37318723›Full record

ArticleWorld journal of pediatrics : WJP2023

Risk stratification of hemodynamically significant patent ductus arteriosus by clinical and genetic factors.

Yu-Xi Chen, Tian-Tian Xiao, Hui-Yao Chen, Xiang Chen, Ya-Qiong Wang, Qi Ni, Bing-Bing Wu, Hui-Jun Wang, Yu-Lan Lu, Li-Yuan Hu and 7 more

Abstract read
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In one paragraph

Article in World journal of pediatrics : WJP, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 43% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Review
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

17 authors at 1 institution in 1 country.

Yu-Xi ChenCenter for Molecular Medicine of Children's Hospital of Fudan University, Institutes of Biomedical Sciences, Fudan University, 138 Yi Xue Yuan Road, Shanghai, China.
Tian-Tian XiaoDepartment of Neonatology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
Hui-Yao ChenCenter for Molecular Medicine, Children's Hospital of Fudan University, 399 Wanyuan Road, Shanghai, 201102, China.
Xiang ChenDepartment of Neonatology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
Ya-Qiong WangCenter for Molecular Medicine, Children's Hospital of Fudan University, 399 Wanyuan Road, Shanghai, 201102, China.
Qi NiCenter for Molecular Medicine, Children's Hospital of Fudan University, 399 Wanyuan Road, Shanghai, 201102, China.
Bing-Bing WuCenter for Molecular Medicine, Children's Hospital of Fudan University, 399 Wanyuan Road, Shanghai, 201102, China.
Hui-Jun WangCenter for Molecular Medicine, Children's Hospital of Fudan University, 399 Wanyuan Road, Shanghai, 201102, China.
Yu-Lan LuCenter for Molecular Medicine, Children's Hospital of Fudan University, 399 Wanyuan Road, Shanghai, 201102, China.
Li-Yuan HuDepartment of Neonatology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
Yun CaoDepartment of Neonatology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
Guo-Qiang ChengDepartment of Neonatology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
Lai-Shuan WangDepartment of Neonatology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
Fei-Fan XiaoCenter for Molecular Medicine, Children's Hospital of Fudan University, 399 Wanyuan Road, Shanghai, 201102, China.
Lin YangCenter for Molecular Medicine, Children's Hospital of Fudan University, 399 Wanyuan Road, Shanghai, 201102, China.
Xin-Ran DongCenter for Molecular Medicine, Children's Hospital of Fudan University, 399 Wanyuan Road, Shanghai, 201102, China. xrdong@fudan.edu.cn.
Wen-Hao ZhouCenter for Molecular Medicine of Children's Hospital of Fudan University, Institutes of Biomedical Sciences, Fudan University, 138 Yi Xue Yuan Road, Shanghai, China. zhouwenhao@fudan.edu.cn.ORCID 0000-0001-8956-7238
Children's Hospital of Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHemodynamically significant patent ductus arteriosus (hsPDA) is associated with increased comorbidities in neonates. Early evaluation of hsPDA risk is critical to implement individualized intervention. The aim of the study was to provide a powerful reference for the early identification of high-risk hsPDA population and early treatment decisions.

methodsWe enrolled infants who were diagnosed with PDA and performed exome sequencing. The collapsing analyses were used to find the risk gene set (RGS) of hsPDA for model construction. The credibility of RGS was proven by RNA sequencing. Multivariate logistic regression was performed to establish models combining clinical and genetic features. The models were evaluated by area under the receiver operating curve (AUC) and decision curve analysis (DCA).

resultsIn this retrospective cohort study of 2199 PDA patients, 549 (25.0%) infants were diagnosed with hsPDA. The model [all clinical characteristics selected by least absolute shrinkage and selection operator regression (all CCs)] based on six clinical variables was acquired within three days of life, including gestational age (GA), respiratory distress syndrome (RDS), the lowest platelet count, invasive mechanical ventilation, and positive inotropic and vasoactive drugs. It has an AUC of 0.790 [95% confidence interval (CI) = 0.749-0.832], while the simplified model (basic clinical characteristic model) including GA and RDS has an AUC of 0.753 (95% CI = 0.706-0.799). There was a certain consistency between RGS and differentially expressed genes of the ductus arteriosus in mice. The AUC of the models was improved by RGS, and the improvement was significant (all CCs vs. all CCs + RGS: 0.790 vs. 0.817, P < 0.001). DCA demonstrated that all models were clinically useful.

conclusionsModels based on clinical factors were developed to accurately stratify the risk of hsPDA in the first three days of life. Genetic features might further improve the model performance. Video Abstract (MP4 86834 kb).

Indexed as

Ductus Arteriosus, PatentHemodynamicsAnimalsExome SequencingFemaleHumansInfant, NewbornMaleRetrospective StudiesRisk AssessmentExome sequencingHemodynamically significant patent ductus arteriosusMultivariate logistic regressionNeonatesRisk stratification

Identifiers

PMID37318723
OpenAlexW4380677053

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.