Evidence map›Paper›PMID 41088243›Full record

ArticleBMC medicine2025

Mortality and risk factors of small vulnerable newborns in 32 low- and middle-income countries.

Yizhao Huang, Hongling Zhang, Zhaoying Xiong, Yiqing Lv, Zhenxian Jia, Hongxiu Liu, Wei Xia, Shunqing Xu, Tian Chen, Yuanyuan Li

Abstract read
In one paragraph

Article in BMC medicine, 2025. 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
–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

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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

10 authors.

Yizhao HuangKey Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Hongling ZhangWuchang University of Technology, Wuhan, Hubei, China.
Zhaoying XiongKey Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Yiqing LvKey Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Zhenxian JiaKey Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Hongxiu LiuKey Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Wei XiaKey Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Shunqing XuSchool of Environmental Science and Engineering, Hainan University, Haikou, Hainan, China.
Tian ChenDepartment of Environmental Health, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, 200336, China. chentian@scdc.sh.cn.
Yuanyuan LiKey Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China. liyuanyuan@hust.edu.cn.

Funding

National Key Research and Development Program of China 2022YFE0132900National Natural Science Foundation of China U23A20493Wuhan Preventive Medicine Research Project WY22B05
6 · The paper itself

Abstract

backgroundIn 2022, 2.3 million neonatal deaths occurred globally, the majority of which were in low- and middle-income countries (LMICs). Preterm birth, small for gestational age (SGA), and low birth weight (LBW) are leading causes of neonatal mortality. The Small Vulnerable Newborn (SVN) framework was introduced to unify preterm birth, SGA, and LBW under a single concept. SVNs face significant mortality risks and are predominantly found in LMICs. Understanding the prevalence, mortality risks, and associated factors of SVNs is essential for targeted intervention efforts.

methodsThis study analyzed nationally representative survey data from the Demographic and Health Surveys (DHSs) conducted between 2008 and 2022 in 32 LMICs, covering 197,405 weighted live births among mothers aged 15-49 years. SVN prevalence, neonatal mortality, infant mortality, and associated risk factors were examined using modified Poisson regression and multinomial logistic regression. Population attributable fractions (PAFs) estimated the contribution of modifiable factors.

resultsThe overall SVN prevalence was 23.91% across 32 LMICs. Preterm-SGA showed the highest mortality risks compared to term-nonSGA newborns (neonatal: adjusted RR = 17.51 [95% CI, 12.95-23.67]; infant: adjusted RR = 11.86 [95% CI, 9.20-15.29]). Preterm-nonSGA contributed most to overall mortality (neonatal PAF: 11.72%; infant PAF: 8.15%). Risk patterns varied by subtypes: first parity was primary for preterm-nonSGA (PAF: 14.25%), poverty for term-SGA (PAF: 7.95%), while both insufficient antenatal care (< 4 visits) and first parity were major contributors for preterm-SGA (PAF: 22.68% and 20.41%). Adolescent pregnancy showed the strongest association with overall SVNs (adjusted RR = 1.37 [95% CI, 1.33-1.40]).

conclusionsSVNs remain a significant public health challenge in LMICs, with distinct risk patterns among subtypes suggesting the importance of targeted interventions focusing on antenatal care, socioeconomic factors and adolescent pregnancy prevention.

Indexed as

Developing CountriesInfant MortalityInfant, Small for Gestational AgeAdolescentAdultFemaleHumansInfantInfant, Low Birth WeightInfant, NewbornMaleMiddle AgedPregnancyPremature BirthPrevalenceRisk FactorsInfant mortalityLow- and middle-income countriesNeonatal mortalityRisk factorsSmall Vulnerable Newborns

Identifiers

PMID41088243
PMCPMC12522232

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.