ArticleBMC pediatrics2021
Determination of neonatal case-specific fatality rates in a tertiary health institution in North Central Nigeria.
Article in BMC pediatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed.
- Incidence, risk factors and outcomes of neonatal near miss in Lagos, Nigeria: a prospective case-control study.BMC pediatrics · 2025Article
- Women's empowerment as a determinant of neonatal mortality in Sub-Saharan Africa: a narrative review focused on Nigeria.Global health action · 2024Review
- Article
- Predictors of Death in Patients with Neonatal Sepsis in a Peruvian Hospital.Tropical medicine and infectious disease · 2022Article
- Neonatal mortality in a public referral hospital in southern Haiti: a retrospective cohort study.BMC pediatrics · 2022Observational
- Prediction for late-onset sepsis in preterm infants based on data from East China.Frontiers in pediatrics · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe current neonatal mortality rate in Nigeria (37/1000) is among the highest in the world and the major causes have consistently been reported as sepsis, perinatal asphyxia and prematurity. However, case-specific fatality which defines the risk of dying from these and other neonatal morbidities is rarely emphasized. Determination of case-specific fatality rates (CSFR) may inform a change in our current approach to neonatal care interventions which may eventually bring about the much-needed reduction in our neonatal mortality rate. Our aim was to determine the case-specific fatality rates for the common causes of mortality among hospitalized neonates at the National Hospital Abuja (NHA).
methodsRelevant demographic and clinical data on all neonates admitted into the NICU at the NHA over a period of 13 months (January 2017 to February 2018) were extracted from the Neonatal Registry database and analyzed using appropriate statistical methods with the SPSS version 20 software. The case-specific fatality rates were computed for the predominant morbidities in addition to determination of the neonatal mortality rates and associated risk factors. RESULTS AND
conclusionA total of 730 neonates were admitted, out of which 391 (53.6%) were females, 396 (54.5%) were inborn and 396 (54.2%) were term. The three most prevalent morbidities were prematurity 272(37.2%), neonatal Jaundice 208(28.4%) and perinatal asphyxia 91(12.5%) while the most common causes of mortality were prematurity 47/113(41.6%), congenital malformations 27/113(23.9%) and perinatal asphyxia 26/113(23%). Congenital malformations had the highest case-specific fatality 27/83(32.5%) followed by Perinatal Asphyxia 26/91(28.6%) and prematurity 47/272(20.7%). The mortality pattern differed between inborn and out born babies. Implications of these case-specific fatality rates for targeted interventions are discussed.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.