Evidence map›Paper›PMID 42037914›Full record

ArticleCureus2026

Predicting the Outcome of Sick Neonates Using the Sick Neonate Score: A Prospective Observational Study.

Mohd Ashraf, Asma Wani, Parvez Ahmed, Waseem Shafi Sheikh, Mohsin Rashid

Abstract read
In one paragraph

Article in Cureus, 2026. 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
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0citing papers in PubMed
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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

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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

5 authors.

Mohd AshrafPediatric Nephrology, Government Medical College, Srinagar, IND.
Asma WaniPaediatrics, Government Medical College, Srinagar, IND.
Parvez AhmedPediatrics, Government Medical College, Srinagar, IND.
Waseem Shafi SheikhPediatrics, Government Medical College, Srinagar, IND.
Mohsin RashidPediatrics, Government Medical College, Srinagar, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAt the critical transition from intrauterine to extrauterine life, prompt and precise management by the healthcare team is of immense importance. Neonatal transport services play a vital role during this period. The aim of this study was to evaluate the association between the Sick Neonate Score (SNS) and mortality among extramural neonates admitted to the neonatal ICU (NICU).

methodsThis prospective observational study was conducted from November 2019 to October 2021. All extramural neonates admitted to the NICU were enrolled, excluding those with surgical conditions, congenital anomalies, or syndromic features. Demographic details of the neonate and mother, indications for referral, mode of transport, and the presence of accompanying trained personnel were documented. Each neonate was followed until discharge or death. The condition at arrival was assessed, and the SNS was used to predict outcomes.

resultsA total of 422 neonates met the inclusion criteria, with a mortality rate of 115 (27.3%). The most common reasons for referral were respiratory distress syndrome 119 (28.2%), hyperbilirubinemia 91 (21.6%), and sepsis 84 (19.9%). The SNS demonstrated high predictive value for mortality, with a sensitivity of 106/115 (91.3%), specificity of 254/307 (82.7%), and an area under the receiver operating characteristic (ROC) curve (AUC) of 0.913. A cut-off score of ≤7 was associated with a significantly poorer prognosis compared to scores >7.

conclusionThe SNS is simple to comprehend, easy to use, and requires minimal technology or expertise.

Indexed as

neonatal intensive care unit (nicu)neonatal mortalityneonatal transportrespiratory distress syndrome (rds)sick neonate score

Identifiers

PMID42037914
PMCPMC13108615

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