Evidence map›Paper›PMID 33550236›Full record

ArticleBMJ open2021

Neonatal Severe Hyperbilirubinemia Online Registry in Jiangsu Province: protocol for a multicentre, prospective, open, observational cohort study.

Qianqian Li, Xiaoyi Deng, Junmei Yan, Xiaofan Sun, Xiaoyue Dong, Xiaohui Chen, Shuping Han, Jie Huo, Zhangbin Yu

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04251286 (Screening and Follow-up Study of Neonatal Jaundice Based on Mobile Network:A Multicentrd, Prospective, Open, Clinical Study), which is not on this map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.3field-weighted citation impact, top 19% 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.

NCT04251286 unknown statusnot on this map

Screening and Follow-up Study of Neonatal Jaundice Based on Mobile Network:A Multicentrd, Prospective, Open, Clinical Study

Typeobservational_patient_registrySponsorNanjing Medical UniversityRan2020 to 2025Enrolled4,000ConditionsHyperbilirubinemia, Neonatal
3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 8 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

9 authors at 3 institutions in 1 country.

Qianqian LiNeonatology, Xuzhou Maternity and Child Health Care Hospital, Xuzhou, China.ORCID 0000-0002-1676-131X
Xiaoyi DengNeonatology, Xuzhou Maternity and Child Health Care Hospital, Xuzhou, China.
Junmei YanNeonatology, Xuzhou Maternity and Child Health Care Hospital, Xuzhou, China.
Xiaofan SunNeonatology, Nanjing Maternity and Child Health Care Hospital, Nanjing, China.
Xiaoyue DongNeonatology, Nanjing Maternity and Child Health Care Hospital, Nanjing, China.
Xiaohui ChenNeonatology, Nanjing Maternity and Child Health Care Hospital, Nanjing, China.
Shuping HanNeonatology, Nanjing Maternity and Child Health Care Hospital, Nanjing, China.
Jie HuoNeonatology, Yangzhou Maternity and Child Health Care Hospital, Yangzhou, China.
Zhangbin YuNeonatology, Nanjing Maternity and Child Health Care Hospital, Nanjing, China zhangbinyu@njmu.edu.cn.
Nanjing Maternity and Child Health Care Hospital · CNMaternal and Child Health Hospital of Xuzhou · CNHangzhou Women’s Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSevere hyperbilirubinaemia in newborns can be easily complicated by acute bilirubin encephalopathy or even kernicterus, which could lead to neurological sequelae or death. However, there is no systematic study of the management of severe hyperbilirubinaemia in China. The Neonatal Severe Hyperbilirubinemia Online Registry study aims to investigate the management of jaundice before admission, risk factors and outcomes of severe hyperbilirubinaemia in a real-world setting in China. METHODS AND ANALYSIS: This is a prospective, multicentre, open, observational cohort study. From May 2020 to April 2023, more than 2000 patients with neonatal severe hyperbilirubinaemia from 13 tertiary hospitals in Jiangsu Province will join the study. Demographic data and treatment information will be collected from their clinical data. Management measures for jaundice before admission will be collected by the WeChat applet (called 'Follow-up of jaundice') after being provided by the patient's guardian using a mobile phone. Follow-up data will include cranial MRI examination results, brainstem auditory-evoked potential or automatic auditory brainstem response, physical examination results and Griffiths Development Scales-Chinese at the corrected ages of 3-6 months and 1 and 2 years. Results and conclusions will be recorded using 'Follow-up of jaundice.' In-hospital outcomes, including severity of hyperbilirubinaemia (severe, extreme, hazardous), acute bilirubin encephalopathy (mild, moderate, severe) and survival status (death or survival), will be collected at discharge. Follow-up outcomes will include loss to follow-up, survival status and kernicterus (yes or no) at 2 years. The research will enhance our comprehensive knowledge of jaundice management before admission, risk factors and outcomes of severe hyperbilirubinaemia in China, which will ultimately help to reduce the incidence of neonatal severe hyperbilirubinaemia. ETHICS AND DISSEMINATION: Our protocol has been approved by the Medical Ethics Committee of Nanjing Maternity and Child Health Care Hospital. We will present our findings at national conferences and peer-reviewed paediatrics journals. TRIAL REGISTRATION NUMBER: NCT04251286.

Indexed as

Hyperbilirubinemia, NeonatalBilirubinChildChinaFemaleHumansInfant, NewbornMulticenter Studies as TopicObservational Studies as TopicPregnancyProspective StudiesRegistriesBilirubinneonatologypaediatricsprotocols & guidelines

Identifiers

PMID33550236
PMCPMC7925859
OpenAlexW3126616423

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.