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Publication Name World Journal of Meta-Analysis
Manuscript ID 112603
Country Singapore
Category Infectious Diseases
Manuscript Type Systematic Reviews
Article Title Clinical prognostic scores for dengue fever: A systematic review
Manuscript Source Invited Manuscript
All Author List Keerthana Thangaraja, Jun Yi Jonathan Heng, Gayathri Basker, Shu Ting Chong and Kay Choong See
Funding Agency and Grant Number
Corresponding Author Keerthana Thangaraja, Medicine, Yong Loo Lin School of Medicine, 10 Medical Dr, Singapore 117597, Singapore 117597, Singapore. thangaraja.keerthana@u.nus.edu
Key Words Dengue; Severe dengue; Systematic review; Prognostic scores
Core Tip This is a comprehensive systematic review to evaluate and compare the accuracy of prognostic models in both adult and paediatric populations with dengue fever. Out of 29 included studies comprising over 17000 patients, we highlight models that demonstrated high specificity and sensitivity. Notably, the Bedside Dengue Severity Score by Gayathri et al and the nomogram by Nguyen et al performed best among paediatric models, while Leo et al’s and Lee et al’s models showed outstanding performance in adult populations. This nuanced breakdown by demographic and model performance offers actionable insights not previously synthesized in the literature.
Citation

Thangaraja K, Heng JYJ, Basker G, Chong ST, See KC. Clinical prognostic scores for dengue fever: A systematic review. World J Meta-Anal 2025; 13(4): 112603

Received
2025-08-01 03:58
Peer-Review Started
2025-08-01 03:59
First Decision by Editorial Office Director
2025-08-14 08:29
Return for Revision
2025-08-14 08:29
Revised
2025-08-22 16:35
Publication Fee Transferred
Second Decision by Editor
2025-12-05 02:34
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director
2025-12-05 03:54
Articles in Press
2025-12-05 03:54
Edit the Manuscript by Language Editor
Typeset the Manuscript
2025-12-15 15:13
ISSN 2308-3840 (online)
Open Access This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Copyright The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
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