Evidence map›Paper›PMID 36605076›Full record

ArticleCardiovascular diagnosis and therapy2022

The implications of an integrated management model of prenatal diagnosis/postnatal treatment for premature infants with critical congenital heart disease-a case-control study.

Yi-Jing Liang, Jing-Xuan Fang, Yun-Xia Sun, Zhi-Chun Feng, Cai-Sheng Liu, Xiao-Hui Zhang, Min-Qiao Jian, Jin Zhong, Xi-Meng Wang, Yu-Mei Liu and 1 more

Open access · diamondAbstract read
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Article in Cardiovascular diagnosis and therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 4 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors at 4 institutions in 1 country.

Yi-Jing LiangDepartment of NICU, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of South China Structural Heart Disease, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Jing-Xuan FangDepartment of NICU, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of South China Structural Heart Disease, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Yun-Xia SunDepartment of NICU, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangdong Cardiovascular Institute, Guangzhou, China.
Zhi-Chun FengDepartment of Neonatology, Senior Department of Pediatrics, the Seventh Medical Center of PLA General Hospital, Beijing, China.
Cai-Sheng LiuDepartment of NICU, Guangdong Provincial People's Hospital, School of Medicine, South China University of Technology, Guangzhou, China.
Xiao-Hui ZhangDepartment of NICU, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of South China Structural Heart Disease, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Min-Qiao JianDepartment of NICU, Guangdong Provincial People's Hospital, School of Medicine, South China University of Technology, Guangzhou, China.
Jin ZhongDepartment of NICU, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangdong Cardiovascular Institute, Guangzhou, China.
Xi-Meng WangPrevention and Treatment Research Office for Cardiovascular Diseases and Epidemiological Research Office, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Yu-Mei LiuDepartment of NICU, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangdong Cardiovascular Institute, Guangzhou, China.
Shao-Ru HeDepartment of NICU, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of South China Structural Heart Disease, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Guangdong Academy of Medical Sciences · CNGuangdong Provincial People's Hospital · CNSouth China University of Technology · CNChinese PLA General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The high death rate and medical costs of critical congenital heart disease (CCHD) in preterm infants has resulted in significant burdens on both countries and individuals. It is unclear how this affects the mortality of the integrated management model of prenatal diagnosis/postnatal treatment. This study explored the effects of the delivery classification scale for fetal heart and postnatal infants' CCHD on prenatal and postnatal integrated treatment strategies to improve the effectiveness of disease management in CCHD. Methods: This study was a case-control study, which retrospectively analyzed the clinical data of 79 preterm infants (<37 weeks) who underwent prenatal diagnosis and postpartum treatment in Guangdong Provincial People' s Hospital (China) from June 2017 to June 2019. According to the diagnostic and exclusion criteria, the subjects were divided into prenatal and postpartum diagnostic groups. The clinical characteristics and survival outcomes of patients were collected and compared. The delivery classification scale was used for risk stratification and patient management. Results: Among the 79 patients included in this study, 48 (60.76%) were diagnosed prenatally, and 31 (39.24%) were diagnosed postpartum. The prenatal diagnosis group was born slightly earlier during the gestation period [35.00 (33.29-35.86) Conclusions: The results indicated that the integrated management of a prenatal diagnosis/postnatal treatment approach in premature infants may be effective. Furthermore, the delivery classification scale has a particular prognostic value for CCHD. The authors anticipate that their management model will be able to contribute to the shift from a reactive monodisciplinary system to a proactive, multidisciplinary and dynamic management paradigm in premature infants with CCHD in the near future.

Indexed as

critical congenital heart disease (CCHD)integrated managementprenatal diagnosisPreterm

Identifiers

PMID36605076
PMCPMC9808112
OpenAlexW4311831370

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LicenceCC BY-NC-ND
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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.