Evidence map›Paper›PMID 36757000›Full record

ArticleIndian pediatrics2023

Development and Validation of a Bedside Dengue Severity Score for Predicting Severe Dengue in Children.

Vaitheeswaran Gayathri, Shanmugavel Velmurugan Lakshmi, Sivaraman Senthil Murugan, Varadarajan Poovazhagi, Sivasambo Kalpana

Abstract read
In one paragraph

Article in Indian pediatrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

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3citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

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

  1. Prognostic Models in Patients with Dengue: A Systematic Review.The American journal of tropical medicine and hygiene · 2025
    Pooled it
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Vaitheeswaran GayathriInstitute of Child Health and Hospital for Children, Madras Medical College, Chennai, Tamil Nadu.
Shanmugavel Velmurugan LakshmiInstitute of Child Health and Hospital for Children, Madras Medical College, Chennai, Tamil Nadu.
Sivaraman Senthil MuruganInstitute of Child Health and Hospital for Children, Madras Medical College, Chennai, Tamil Nadu.
Varadarajan PoovazhagiInstitute of Child Health and Hospital for Children, Madras Medical College, Chennai, Tamil Nadu.
Sivasambo KalpanaInstitute of Child Health and Hospital for Children, Madras Medical College, Chennai, Tamil Nadu. Correspondence to: Dr Sivasambo Kalpana, No 1, Second Cross Street, 3rd Main Road, Nolambur Phase 1, Chennai 600 037, Tamil Nadu. drskalpana@yahoo.co.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop and validate a bedside dengue severity score in children less than 12 years for predicting severe dengue disease.

methodsWe carried out an analysis of data on the clinical and laboratory parameters of patients with confirmed dengue, hospitalized in October, 2019 at our center. A comprehensive patient's score was developed. Predictive models for severity were built using a forward step-wise method. This model was validated on the data of 312 children with dengue admitted during September- October, 2021.

resultsSevere dengue was predicted by the dengue severity score with a sensitivity of 86.75% (95% CI 77.52%-93.19%), specificity of 98.25% (95% CI 95.56-99.52%), a positive predictive value of 95.34% (95% CI 92.18%-97.26%) and a negative predictive value of 94.74% (95% CI 87.16%-97.95%). The overall predictive accuracy was 95.2% (95% CI 92.19%-97.28%).

conclusionThe proposed bedside dengue severity scoring system was found to have good validity. Validating the score in different settings and patient populations is suggested.

Indexed as

Severe DengueChildHospitalizationHumansPredictive Value of Tests

Identifiers

PMID36757000
PMCPMC10185942

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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.