Evidence map›Paper›PMID 41907190›Full record

ArticleSAGE open nursing

Neonatal Survival and Predictors of Mortality Among Neonates Admitted at Neonatal Intensive Care Unit in Ethiopia: A Prospective Cohort Study.

Gemechu Dereje Feyissa, Daniel G/Tsadik, Tilaye Workneh, Endashaw Mandefro Kidane, Mokonnen Dereje

Abstract read
In one paragraph

Article in SAGE open nursing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Gemechu Dereje FeyissaPublic Health Department, Faculty of Health Sciences, Rift Valley University, Adama, Ethiopia.ORCID https://orcid.org/0009-0009-9248-4084
Daniel G/TsadikNursing Department, School of Health Sciences, Arsi University, Asella, Ethiopia.
Tilaye WorknehDepartment of Public Health, Adama Hospital Medical College, Adama, Ethiopia.
Endashaw Mandefro KidanePublic Health Department, Faculty of Health Sciences, Rift Valley University, Adama, Ethiopia.
Mokonnen DerejeDepartment of Health Policy and Management, Health Monitoring and Evaluation Unit, Jimma University, Jimma, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Globally, neonatal mortality remains a significant challenge, with Sub-Saharan Africa bearing the highest burden. Ethiopia ranks among countries with the highest neonatal mortality rates, but limited data exist on timing and predictors of neonatal deaths in the study setting. Objectives: To assess neonatal survival and identify predictors of mortality among neonates admitted to the neonatal intensive care unit (NICU). Methods: A prospective cohort study was conducted on 504 neonates admitted to NICU. Adjusted hazard ratios (AHRs) with 95% confidence intervals (CIs) were calculated to evaluate associations between potential predictors and mortality. Results: At study end, 23.6% (95% CI: 19.8, 27.4) of neonates died, with a mortality rate of 35.5 per 1,000 neonate-days. Neonatal survival declined from 90% on day 1 to 66% by day 28. Significant predictors of mortality included lack of antenatal care (ANC) (AHR = 3.09), failure to cry immediately at birth (AHR = 2.61), respiratory distress syndrome (AHR = 6.96), and meconium aspiration syndrome (AHR = 9.16). Conclusion: Neonatal mortality remains high in the study setting. Strengthening maternal and neonatal care, especially ANC and institutional delivery, is vital to improve neonatal survival.

Indexed as

Ethiopianeonatal intensive care unitneonatal mortalitypredictorssurvival

Identifiers

PMID41907190
PMCPMC13018706

What OpenQuestion holds

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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.