SynthesisScientific reports2023
Early biomarkers for prediction of severe manifestations of dengue fever: a systematic review and a meta-analysis.
Synthesis in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.
What it found
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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.
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Who cites it
29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 43 citations in OpenAlex.
- Systematic review and meta-analysis of circulating microRNAs in dengue infection: biomarkers, pathogenesis, and clinical implications.Functional & integrative genomics · 2026Pooled it
- Complete blood count-based inflammatory ratios in people with bipolar disorder: a systematic review and meta-analysis of neutrophil-to-lymphocyte, monocyte-to-lymphocyte, and platelet-to-lymphocyte ratios.European psychiatry : the journal of the Association of European Psychiatrists · 2026Pooled it
- A multicenter prospective observational multi-omics study protocol to identify biomarkers for severe dengue: COMBAT study clinical protocol.BMC infectious diseases · 2026Observational
- Article
- Assessment of IL-6 and IL-8 Levels and Other Bio Markers in Predicting Dengue Severity Across Serotypes.Pathogens (Basel, Switzerland) · 2026Article
- Characterising secondary dengue infections in Saudi Arabia using combined IgG and PCR testing.Transactions of the Royal Society of Tropical Medicine and Hygiene · 2026Article
- Monocyte TLR2/4 as predictive biomarkers for progression from dengue warning signs to severe disease.Frontiers in immunology · 2026Article
- Mortality predictors, hepatic involvement patterns, and the steatotic liver paradox in 1,484 hospitalized Dengue patients.PloS one · 2026Article
- Urinary Neutrophil Mediators as Predictive Biomarkers for Severe Dengue in Adults.Open forum infectious diseases · 2026Article
- Hybrid Feature Selection-Based Machine Learning and Deep Learning Framework for Biomarker Prediction From RNA-seq Data During Dengue Fever to Severe Dengue Progression.Evolutionary bioinformatics online · 2026Article
- Integrating the Wei-Qi-Ying-Blood Theory with Modern Pathophysiology: A Multitarget Translational Framework for Dengue Management.International journal of general medicine · 2026Review
- Dengue severity and profiles of complement activation and immune mediators: A multicenter cohort study in Indonesia.PloS one · 2026Article
- Early and late biomarkers as predictors of severe dengue: a comprehensive umbrella review protocol.BMJ open · 2025Article
- Integrating machine learning and time-to-event models to explain and predict risk of hospitalization due to dengue in Colombia.Scientific reports · 2025Article
- Clinical characteristics, complications and outcomes of critically ill patients with Dengue in Brazil, 2012-2024: A nationwide, multicenter cohort study.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2025Article
- Exploiting host kinases to combat dengue virus infection and disease.Antiviral research · 2025Review
- Risk Stratification of Dengue Cases Requiring Hospitalization.Journal of medical virology · 2025Article
- Machine Learning and Artificial Intelligence for Infectious Disease Surveillance, Diagnosis, and Prognosis.Viruses · 2025Review
- Review
- Cytokine and chemokine kinetics in natural human dengue infection as predictors of disease outcome.Scientific reports · 2025Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Early identification of dengue patients at risk of adverse outcomes is important to prevent hospital overcrowding in low- to middle- income countries during epidemics. We performed a systematic review to identify which biomarkers measured in first 96 h of fever could predict dengue haemorrhagic fever (DHF, World Health Organization 1997 clinical classification) or severe dengue (SD, WHO 2009, clinical classification). PubMed, Scopus, CINAHL, Web of Science, and EMBASE databases were searched for prospective cohort and nested case-control studies published from 1997 to Feb 27, 2022. The protocol for the study was registered in PROSPERO (ID: CRD42021230053). After screening 6747 publications, and analysing 37 eligible studies reporting on 5925 patients, elevated C-reactive protein, aspartate aminotransferase, interleukin-8 and decreased albumin levels were strongly associated with dengue haemorrhagic fever (by meta-analyses of multiple studies, p < 0.05), while elevated vascular cell adhesion protein 1, syndecan-1, aspartate aminotransferase and C-reactive protein levels were strongly associated with severe dengue (by meta-analyses of multiple studies, p < 0.05). Further 44 and 28 biomarkers were associated with the risk of DHF and SD respectively, but only in a single study. The meta-analyses suggest the importance of early acute inflammation with hepatic involvement in determining the subsequent course of illness in dengue.
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