ReviewMolecular diagnosis & therapy2026
Dengue Fever Diagnosis: Performance Characteristics of Current Tests and Emerging Detection Technologies.
Review in Molecular diagnosis & therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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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0 citing papers in PubMed.
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Authors and funding
4 authors.
Funding
Abstract
Dengue fever, caused by the dengue virus and transmitted primarily by Aedes mosquitoes, poses significant public health challenges across tropical and subtropical regions. With rising temperatures, changing mosquito habitats, and increasing global dengue incidence including to countries previously dengue-naive, accurate and timely diagnosis is crucial for effective disease management and outbreak control. This review explores the current state of both laboratory and point-of-care (POC) tests for dengue fever diagnosis. We discuss the performance characteristics, specifically sensitivity and specificity, of commercially available diagnostic options, highlighting their strengths and limitations. Additionally, we discuss emerging biosensor technologies designed for POC dengue diagnosis, which hold promise but are largely still in development. This overview aims to highlight the evolving landscape of dengue diagnostics and the potential impact of novel technologies.
Indexed as
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Registered trials
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.