Evidence map›Paper›PMID 30819993›Full record

ArticleIndian pediatrics2019

Extended Sick Neonate Score (ESNS) for Clinical Assessment and Mortality Prediction in Sick Newborns referred to Tertiary Care.

Somosri Ray, Rakesh Mondal, Kaushani Chatterjee, Moumita Samanta, Avijit Hazra, Tapas Kumar Sabui

Abstract read
PubMed
In one paragraph

Article in Indian pediatrics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
  3. Article
  4. Article
  5. Observational
  6. Article
  7. Article
  8. Article
  9. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Somosri RayDepartment of Neonatology, Calcutta Medical College, Kolkata, West Bengal, India.
Rakesh MondalDepartment of Pediatric Medicine, Calcutta Medical College, Kolkata, West Bengal, India. Correspondence to: Dr Rakesh Mondal, Department of Pediatrics, Medical College, 88 College Street, Kolkata 700 073, West Bengal, India. ivanrakesh2001@gmail.com.
Kaushani ChatterjeeDepartment of Pediatric Medicine, Calcutta Medical College, Kolkata, West Bengal, India.
Moumita SamantaDepartment of Pediatric Medicine, Calcutta Medical College, Kolkata, West Bengal, India.
Avijit HazraDepartment of Pharmacology, Institute of Postgraduate Medical Education and Research (IPGMER), Kolkata, West Bengal, India.
Tapas Kumar SabuiDepartment of Neonatology, Calcutta Medical College, Kolkata, West Bengal, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate utility of a new Extended Sick Neonate Score (ESNS). to predict 'in-hospital mortality' and compare with Score for Neonatal Acute Physiology - Perinatal Extension II (SNAPPE II) and Sick Neonate Score (SNS).

designProspective observational study.

methodsAll extramural sick newborns transported to the neonatology unit of a tertiary care teaching hospital over a period of one year. Correlation between ESNS, SNAPPE-II and SNS scoring, and sensitivity/specificity of each score to predict mortality were determined.

results961 newborns were enrolled in the study. ESNS, SNAPPE II and SNS were strongly correlated, even when stratified by gestation. ESNS of ≤11 had the best sensitivity (85.9%) and specificity (89.8%). For preterms, ESNS ≤12 had the best sensitivity (92.3%) and specificity (76.7%).

conclusionESNS can predict 'in-hospital mortality' outcome with satisfactory sensitivity and specificity.

Indexed as

Severity of Illness IndexFemaleHumansIndiaInfant, NewbornInfant, Newborn, DiseasesIntensive Care, NeonatalMalePregnancyPrognosisProspective StudiesSensitivity and SpecificityTertiary Health Care

Identifiers

PMID30819993

What OpenQuestion holds

Textmetadata
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.