Evidence map›Paper›PMID 41390541›Full record

ArticleScientific reports2025

Clinical-radiological profile and risk factors for early mortality in preterm neonates with respiratory distress syndrome in Hoima, Western Uganda.

Abdirahman Hussein Addow, Mohamed Jayte, Geoffrey Ofumbi Oburu, Simon Odoch, Jolly Kaharuza, Bappah Alkali, Yasin Ahmed H Abshir, Hasssan Omar Ali, Walyeldin Elfakey

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Abdirahman Hussein AddowDepartment of Paedtrics and Child Health, Faculty of Clinical Medicine and Dentistry, Kampala International University, Ishaka, Bushenyi, Kampala, Uganda. Cadoow72@gmail.com.
Mohamed JayteDepartment of Internal Medicine, Faculty of Clinical Medicine and Dentistry, Kampala International University, Ishaka, Bushenyi, Kampala, Uganda.
Geoffrey Ofumbi OburuDepartment of Paedtrics and Child Health, Faculty of Clinical Medicine and Dentistry, Kampala International University, Ishaka, Bushenyi, Kampala, Uganda.
Simon OdochDepartment of Paedtrics and Child Health, Faculty of Clinical Medicine and Dentistry, Kampala International University, Ishaka, Bushenyi, Kampala, Uganda.
Jolly KaharuzaDepartment of Paedtrics and Child Health, Faculty of Clinical Medicine and Dentistry, Kampala International University, Ishaka, Bushenyi, Kampala, Uganda.
Bappah AlkaliDepartment of Paedtrics and Child Health, Faculty of Clinical Medicine and Dentistry, Kampala International University, Ishaka, Bushenyi, Kampala, Uganda.
Yasin Ahmed H AbshirDepartment of Paedtrics and Child Health, Faculty of Clinical Medicine and Dentistry, Kampala International University, Ishaka, Bushenyi, Kampala, Uganda.
Hasssan Omar AliDepartment of Internal Medicine, Faculty of Clinical Medicine and Dentistry, Kampala International University, Ishaka, Bushenyi, Kampala, Uganda.
Walyeldin ElfakeyDepartment of Paedtrics and Child Health, Faculty of Clinical Medicine and Dentistry, Kampala International University, Ishaka, Bushenyi, Kampala, Uganda.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Respiratory distress syndrome (RDS) is the leading cause of respiratory failure and neonatal mortality, particularly in preterm infants. Despite global advances in neonatal care, RDS remains a significant problem in low-resource settings such as Uganda, where limited evidence exists on clinical profiles, mortality, and associated risk factors. Although these advances have greatly reduced mortality in high-income settings, their limited availability in Uganda contributes to the continued high burden of RDS-related deaths. To determine the clinical-radiological profile, early mortality, and risk factors for mortality among preterm neonates admitted with RDS at Hoima Regional Referral Hospital. A prospective cohort study was conducted among 150 preterm neonates with clinically and radiologically confirmed RDS. Data on sociodemographic, clinical, and obstetric characteristics were collected using structured questionnaires and chest X-rays. Participants were followed for seven days to determine outcomes. Descriptive statistics summarized baseline characteristics, while Poisson regression identified independent predictors of mortality. Of the 150 neonates, 62.7% were male and 70.7% were born before 32 weeks of gestation. Tachypnea (84.7%) and intercostal/subcostal retractions (71.3%) were the most frequent clinical features, while ground-glass patterns were the predominant radiological finding. Twenty-nine neonates died within the first seven days, giving an early mortality rate of 19.3%. Independent predictors of mortality were delayed presentation beyond six hours of life (aRR = 1.72, 95% CI: 1.43-2.07, p < 0.001) and birth weight < 1.5 kg (aRR = 1.12, 95% CI: 1.02-1.22, p = 0.015). RDS contributes substantially to early neonatal mortality in Uganda. Prompt recognition, early referral, and improved neonatal care-particularly for very low birth weight infants-are critical to improving outcomes. Although not directly measured in this study, improving access to antenatal corticosteroids and respiratory support-well-established interventions-remains essential for broader improvement of RDS outcomes.

Indexed as

Infant, PrematureRespiratory Distress Syndrome, NewbornFemaleHumansInfant MortalityInfant, NewbornMaleProspective StudiesRisk FactorsUgandaEarly mortalityPreterm neonatesRespiratory distress syndromeRisk factorsUganda

Identifiers

PMID41390541
PMCPMC12804951

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.