ArticleActa paediatrica (Oslo, Norway : 1992)2017
The Global Network Neonatal Cause of Death algorithm for low-resource settings.
Article in Acta paediatrica (Oslo, Norway : 1992), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03438110 (Project to Understand & Research Preterm Pregnancy Outcomes-South Asia), which is not on this map. Cited by 13 papers.
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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.
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.
Project to Understand & Research Preterm Pregnancy Outcomes-South Asia (PURPOSe)
Who cites it
13 citing papers in PubMed, 28 citations in OpenAlex.
- Birth weight and gestational age distributions in a rural Kenyan population.BMC pediatrics · 2023Trial
- Risk factors and mortality in infants who received bag and mask ventilation at birth: a secondary analysis from the global network maternal newborn health registry.Journal of perinatology : official journal of the California Perinatal Association · 2026Article
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- Prevalence and presentation of neonatal sepsis at a paediatric emergency department in Johannesburg, South Africa.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2022Article
- Early neonatal mortality is modulated by gestational age, birthweight and fetal heart rate abnormalities in the low resource setting in Tanzania - a five year review 2015-2019.BMC pediatrics · 2022Article
- Prevalence and risk factors for antimicrobial resistance among newborns with gram-negative sepsis.PloS one · 2021Article
- Neonatal deaths in rural Karnataka, India 2014-2018: a prospective population-based observational study in a low-resource setting.Reproductive health · 2020Observational
- Prevalence of clinically-evident congenital anomalies in the Western highlands of Guatemala.Reproductive health · 2020Article
- The Global Network Maternal Newborn Health Registry: a multi-country, community-based registry of pregnancy outcomes.Reproductive health · 2020Article
- Enabling change in public health services: Insights from the implementation of nurse mentoring interventions to improve quality of obstetric and newborn care in two North Indian states.Gates open research · 2020Article
- Congenital obstructive bowel anomalies presenting after neonatal age.Malawi medical journal : the journal of Medical Association of Malawi · 2019Article
- Improving pregnancy outcomes in low- and middle-income countries.Reproductive health · 2018Article
Corrections and comments
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Authors and funding
25 authors at 17 institutions in 7 countries.
Funding
Abstract
aimThis study estimated the causes of neonatal death using an algorithm for low-resource areas, where 98% of the world's neonatal deaths occur.
methodsWe enrolled women in India, Pakistan, Guatemala, the Democratic Republic of Congo, Kenya and Zambia from 2014 to 2016 and tracked their delivery and newborn outcomes for up to 28 days. Antenatal care and delivery symptoms were collected using a structured questionnaire, clinical observation and/or a physical examination. The Global Network Cause of Death algorithm was used to assign the cause of neonatal death, analysed by country and day of death.
resultsOne-third (33.1%) of the 3068 neonatal deaths were due to suspected infection, 30.8% to prematurity, 21.2% to asphyxia, 9.5% to congenital anomalies and 5.4% did not have a cause of death assigned. Prematurity and asphyxia-related deaths were more common on the first day of life (46.7% and 52.9%, respectively), while most deaths due to infection occurred after the first day of life (86.9%). The distribution of causes was similar to global data reported by other major studies.
conclusionThe Global Network algorithm provided a reliable cause of neonatal death in low-resource settings and can be used to inform public health strategies to reduce mortality.
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Registered trials
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