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Clinical prognostic models for severe dengue: a systematic review protocol.

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This systematic review identifies and describes prognostic models for severe dengue. It also explores combining these models to improve early identification of severe dengue cases, aiding clinical decision-making.

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Area of Science:

  • * Tropical Medicine
  • * Epidemiology
  • * Biostatistics

Background:

  • * Dengue fever poses a significant global health burden, particularly in tropical regions, necessitating early identification of severe cases.
  • * Existing multivariable prognostic models aim to predict severe dengue outcomes, but their effectiveness and potential for combination require systematic evaluation.

Purpose of the Study:

  • * To systematically identify and describe clinical multivariable prognostic models for severe dengue.
  • * To assess the feasibility of combining existing models to enhance predictive power.
  • * To guide future research directions in severe dengue prognostication.

Main Methods:

  • * Adherence to Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocol (PRISMA-P) guidelines.
  • * Comprehensive literature search across PubMed, Embase, and Web of Science.
  • * Data extraction using the Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies (CHARMS) checklist and risk of bias assessment using PROBAST tool.

Main Results:

  • * This section will summarize the characteristics of identified prognostic models.
  • * It will report on the quality and risk of bias of the included studies.
  • * The potential for meta-analysis or model combination will be explored.

Conclusions:

  • * The review will provide a comprehensive overview of current prognostic models for severe dengue.
  • * Findings will highlight gaps in research and inform the development of more robust prediction tools.
  • * This work aims to improve early detection and management of severe dengue cases.