Evidence map›Paper›PMID 38264240›Full record

ArticleFrontiers in public health2023

Measurement of the burdens of neonatal disorders in 204 countries, 1990-2019: a global burden of disease-based study.

Juan Xin, Yiwen Luo, Wanwan Xiang, Sijing Zhu, Hui Niu, Jiayuan Feng, Landi Sun, Boxing Zhang, Xihui Zhou, Wenfang Yang

Abstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 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

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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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

10 authors.

Juan Xin *Department of Obstetrics and Gynecology, Maternal and Child Health Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Yiwen Luo *School of Public Health, Jiaotong University Health Science Center, Xi'an, China.
Wanwan XiangDepartment of Obstetrics and Gynecology, Maternal and Child Health Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Sijing ZhuDepartment of Obstetrics and Gynecology, Maternal and Child Health Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Hui NiuDepartment of Obstetrics and Gynecology, Maternal and Child Health Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Jiayuan FengDepartment of Obstetrics and Gynecology, Maternal and Child Health Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Landi SunDepartment of Obstetrics and Gynecology, Maternal and Child Health Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Boxing ZhangDepartment of Obstetrics and Gynecology, Maternal and Child Health Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Xihui ZhouDepartment of Pediatrics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Wenfang YangDepartment of Obstetrics and Gynecology, Maternal and Child Health Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Neonatal disorders are facing serious public health challenges. Previous studies were based on limited data sources and had a narrow geographical scope. We aim to understand the trends of alteration in the burden of neonatal disorders from 1990 to 2019 in 204 countries and territories. Methods: Data were investigated from the Global Burden of Disease Study 2019. First, we visualized the burden of neonatal disorders using the number of cases and the age-standardized incidence rate (ASIR), death rate (ASDR), and disability-adjusted life years (ASR-DALYs) from 1990 to 2019. Second, estimated annual percentage changes (EAPCs) were used to evaluate the temporal trends of disease burden during different periods. Finally, the sociodemographic index (SDI) and human development index (HDI) were used to determine whether there exists a correlation between socioeconomic development level, human development level, and potential burden consequences. Results: Overall, in the past 30 years, the ASIR trends have remained relatively steady, whereas the ASDR and ASR-DALYs have declined. However, the burden of neonatal disorders varied greatly in various regions and countries. Among 21 regions, the ASIR trend had the largest increase in Central Latin America (EAPC = 0.42, 95%CI = 0.33-0.50). Conversely, the ASDR and ASR-DALYs experienced the largest decrease in Central Europe (EAPC = -5.10, 95%CI = -5.28 to 4.93) and East Asia (EAPC = -4.07, 95%CI = -4.41 to 3.73), respectively. Among 204 countries, the ASIR (EAPC = 3.35, 95%CI = 3.13-3.56) trend in Greece displayed the most significant increase, while the ASDR (EAPC = 1.26, 95%CI = 1.01-1.50) and ASR-DALYs (EAPC = 1.26, 95%CI = 1.03-1.49) trends in Dominica experienced the most substantial increase. Furthermore, there was a strong correlation between the EAPCs in ASIR, ASDR, ASR-DALYs, and SDI or HDI in 2019, with some exceptions. In addition, countries with elevated levels of HDI experienced a faster increase in ASDR and ASR-DALYs for neonatal disorders. Conclusion: Although the burden of neonatal disorders shows a downward trend from 1990 to 2019, it is still not optimistic. It is necessary to implement a multi-pronged approach to reduce the increasing burden of neonatal disorders.

Indexed as

Cost of IllnessGlobal Burden of DiseaseEuropeGreeceHumansInfant, NewbornPublic Healthdeath ratedisability-adjusted life yearsglobal trendincidenceneonatal disease burden

Identifiers

PMID38264240
PMCPMC10803531

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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.