ArticleIDCases2025
Severe fever with thrombocytopenia syndrome (Dabie bandavirus infection).
Article in IDCases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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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Who cites it
1 citing paper in PubMed.
- An Explainable Machine Learning Model for Early Prediction of Incident Myocardial Injury in Patients With Severe Fever With Thrombocytopenia Syndrome.Journal of medical virology · 2026Article
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This paper introduced the diagnosis and treatment of a case of severe Dabie bandavirus infection. The disease is called severe fever with thrombocytopenia syndrome (SFTS). The disease is an acute natural epidemic disease. The disease is usually endemic in mountainous and hilly areas, in summer and autumn. Most often associated with tick bites. The main clinical manifestations of SFTS are fever, leukopenia and/or thrombocytopenia, lymphadenopathy, fatigue and gastrointestinal symptoms. The most of the prognosis is good. Aged, with underlying diseases or delay seeking medical attention, the disease can progress to a severe state. In severe cases, death can result from multiple organ failure.
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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.