Evidence map›Paper›PMID 37773990›Full record

ArticleQJM : monthly journal of the Association of Physicians2024

Global burden and inequality of maternal and neonatal disorders: based on data from the 2019 Global Burden of Disease study.

R Peng, Y Tong, M Yang, J Wang, L Yang, J Zhu, Yu Liu, H Wang, Z Shi, Ya Liu

Open access · hybridAbstract read
In one paragraph

Article in QJM : monthly journal of the Association of Physicians, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
11.6field-weighted citation impact, top 1% 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

14 citing papers in PubMed, 20 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

10 authors at 2 institutions in 1 country.

R PengClinical Medical College & Affiliated Hospital of Chengdu University, Chengdu, Sichuan, 610081, China.ORCID 0000-0001-5247-277X
Y TongClinical Medical College & Affiliated Hospital of Chengdu University, Chengdu, Sichuan, 610081, China.
M YangClinical Medical College & Affiliated Hospital of Chengdu University, Chengdu, Sichuan, 610081, China.
J WangClinical Medical College & Affiliated Hospital of Chengdu University, Chengdu, Sichuan, 610081, China.
L YangClinical Medical College & Affiliated Hospital of Chengdu University, Chengdu, Sichuan, 610081, China.
J ZhuClinical Medical College & Affiliated Hospital of Chengdu University, Chengdu, Sichuan, 610081, China.
Yu LiuClinical Medical College & Affiliated Hospital of Chengdu University, Chengdu, Sichuan, 610081, China.
H WangDepartment of Pediatrics, West China Second University Hospital, Sichuan University, Sichuan, 610041, China.
Z ShiClinical Medical College & Affiliated Hospital of Chengdu University, Chengdu, Sichuan, 610081, China.
Ya LiuClinical Medical College & Affiliated Hospital of Chengdu University, Chengdu, Sichuan, 610081, China.
Chengdu Medical College · CNSichuan University · CN

Funding

Chengdu Municipal Health Commission 2023073Clinical Medical college & Affiliated hospital of Chengdu University CDFYCX202202Clinical Medical college & Affiliated hospital of Chengdu University Y202232Excellent Talents in Clinical Medical college & Affiliated hospital of Chengdu UniversitySichuan Provincial Science and Technology Foundation 22NZZH0031
6 · The paper itself

Abstract

backgroundMaternal and neonatal disorders account for substantial health loss across the lifespan from early childhood. These problems may be related to health inequality.

aimTo provide evidence for improvement in health policies regarding maternal and neonatal disorder inequity.

designThis was a population-based cross-sectional study based on 2019 Global Burden of Disease data.

methodsAnnual cases and age-standardized rates (ASRs) of incidence, prevalence, death, and disability-adjusted life-years (DALYs) in maternal and neonatal disorders between 1990 and 2019 were collected from the 2019 Global Burden of Disease study. Concentration curves and concentration indices were used to summarize the degree of socioeconomic-related inequality.

resultsFor maternal disorders, the global ASRs of incidence, prevalence, death and DALYs were 2889.4 (95% uncertainty interval (UI), 2562.9-3251.9), 502.9 (95% UI 418.7-598.0), 5.0 (95% UI 4.4-5.8) and 324.9 (95% UI 284.0-369.1) per 100 000 women in 2019, respectively. The ASRs of maternal disorders were all obviously reduced and remained pro-poor from 1990 to 2019. In neonatal disorders, the global ASRs of incidence, prevalence, death and DALYs were 363.3 (95% UI 334.6-396.8), 1239.8 (95% UI 1142.1-1356.7), 29.1 (95% UI 24.8-34.5) and 2828.3 (95% UI 2441.6-3329.6) per 100 000 people in 2019, respectively. The global ASRs of incidence, death and DALYs in neonatal disorders have remained pro-poor. However, the socioeconomic-related fairness in the ASR of neonatal disorder prevalence is being levelled.

conclusionsThe global burden of maternal and neonatal disorders has remained high, and socioeconomic-related inequality (pro-poor) tended not to change between 1990 and 2019.

Indexed as

Global Burden of DiseaseHealth Status DisparitiesChild, PreschoolCross-Sectional StudiesFemaleGlobal HealthHumansIncidenceInfant, NewbornPrevalenceQuality-Adjusted Life Years

Identifiers

PMID37773990
PMCPMC10849872
OpenAlexW4387164594

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.