Evidence map›Paper›PMID 31907008›Full record

ArticleBMC public health2020

Neonatal mortality and associated factors in the specialized neonatal care unit Asmara, Eritrea.

Amanuel Kidane Andegiorgish, Mihreteab Andemariam, Sabela Temesghen, Liya Ogbai, Zemichael Ogbe, Lingxia Zeng

Abstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 2 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

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

58 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  19. Qualineo Strategy Indicators Associated with Neonatal Death: A Cross-Sectional Study.International journal of environmental research and public health · 2024
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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

6 authors.

Amanuel Kidane AndegiorgishDepartment of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, No 76 West Yanta Road, Xi'an, 710061, Shaanxi Province, People's Republic of China.
Mihreteab AndemariamDepartment of Epidemiology and Biostatistics, Asmara College of Health Sciences, School of Public Health, P.O.Box 8566, Asmara, Eritrea.
Sabela TemesghenDepartment of Epidemiology and Biostatistics, Asmara College of Health Sciences, School of Public Health, P.O.Box 8566, Asmara, Eritrea.
Liya OgbaiDepartment of Epidemiology and Biostatistics, Asmara College of Health Sciences, School of Public Health, P.O.Box 8566, Asmara, Eritrea.
Zemichael OgbeDepartment of Neonatology, Orotta School of Medicine and Health Sciences, Orotta National Referral Hospital, Asmara, Eritrea.
Lingxia ZengDepartment of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, No 76 West Yanta Road, Xi'an, 710061, Shaanxi Province, People's Republic of China. tjzlx@mail.xjtu.edu.cn.ORCID http://orcid.org/0000-0002-4649-9818

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLimited knowledge on the magnitude of neonatal mortality and associated factors is hampering early intervention in African countries.

objectiveTo determine neonatal mortality and associated factors in the Specialized Neonatal Care Unit Asmara, Eritrea.

methodsMedical records of all neonates admitted to the Specialized Neonatal Care Unit in 2016 were reviewed using a cross-sectional study. The most important causes of admission and mortality were analyzed. Univariate and multivariate logistic regression analysis was used to evaluate the strength of risk factors associated with neonatal mortality. Variables significant at P < 0.20 level in the univariate analysis were retained in the multivariate model. Model fit was evaluated using Hosmer and Lemeshow test (Chi-square = 12.89, df = 8; P = 0.116), implies the model's estimates fit the data at an acceptable level. Collinearity was assessed using variance inflation factor (VIF) < 4. P-value < 0.05 was considered statistically significant.

resultsOf the 1204 (59.9% boys and 40.1% girls) neonates admitted in 2016, 79 (65.6/1000 live births) died. The major causes of admission were sepsis (35.5%), respiratory distress syndrome (15.4%) and perinatal asphyxia (10%). Major causes of death were respiratory distress syndrome (48.1%); extremely low birth weight (40.9%) and very low birth weight (30.5%). After adjustment, low birth weight (Adjusted odds ratio (AOR) = 4.55, 95% CI,1.97-10.50), very low birth weight (AOR = 19.24, 95% CI, 5.80-63.78), late admission (24 h after diagnosis) (AOR = 2.96, 95% CI, 1.34-6.52), apgar score (in 1 min AOR = 2.28, 95% CI, 1.09-4.76, in 5 min AOR = 2.07, 95% CI, 1.02-4.22), and congenital abnormalities (AOR = 3.95, 95% CI, 1.59-9.85) were significantly associated with neonatal mortality. Neonates that stayed > 24 h in the Specialized Neonatal Care Unit (AOR = 0.23, 95% CI, 0.11-0.46) had a lower likelihood of death. Overall 95.8% of mothers of neonates attended antenatal care and 96.6% were facility delivered. None of the maternal conditions were associated with neonatal mortality in this study.

conclusionsLow birth weight, late admission, low apgar scores and congenital abnormalities were significantly associated with neonatal mortality in the Specialized Neonatal Care Unit. Early management of low birth weight, preterm births, and neonatal complications should be the priority issues for controlling local neonatal deaths.

Indexed as

Infant MortalityCross-Sectional StudiesEritreaFemaleHumansInfantInfant, Low Birth WeightInfant, NewbornIntensive Care Units, NeonatalMaleRisk FactorsAssociated factorsEritreaLow birth weightNeonatal mortalitySpecialized care unit

Identifiers

PMID31907008
PMCPMC6945585

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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.