Evidence map›Paper›PMID 41277128›Full record

ArticleAnnals of medicine2025

A prediction model to discriminate severe fever with thrombocytopenia syndrome with hemorrhagic fever with renal syndrome.

Xiaoyu Xue, Xiaolei Wang, Wenjing Niu, Zhouling Jiang, Kehang Liu, Ling Lin, Jianping Duan, Zhihai Chen

Abstract read
In one paragraph

Article in Annals of medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Generation and Characterization of the Human Anti-HTNV Antibody KJJ4.International journal of molecular sciences · 2026
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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Xiaoyu XueDepartment of Infectious Disease, Beijing Ditan Hospital, Peking University, Beijing, China.ORCID 0009-0007-1633-9446
Xiaolei WangDepartment of Infectious Disease, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Wenjing NiuDepartment of Infectious Disease, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Zhouling JiangDepartment of Infectious Disease, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Kehang LiuDepartment of Infectious Disease, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Ling LinDepartment of Infectious Diseases, Yantai Qishan Hospital, Yantai, China.
Jianping DuanDepartment of Infectious Disease, Qingdao No 6 People's Hospital, Qingdao, China.
Zhihai ChenDepartment of Infectious Disease, Beijing Ditan Hospital, Peking University, Beijing, China.ORCID 0000-0001-6481-4781

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Bunyavirales order encompasses hantavirus and severe fever with thrombocytopenia syndrome virus (SFTSV), which could cause hemorrhagic fever with renal syndrome (HFRS) and severe fever with thrombocytopenia syndrome (SFTS), respectively. Both are types of viral hemorrhagic fever (VHF), posing challenges for early differentiation. We focused on identifying predictors for two diseases, assisting clinicians to make diagnosis.

methodsWe conducted a retrospective analysis of clinical records from patients with SFTS and HFRS patients who were hospitalized at Qingdao No. 6 People's Hospital and Yantai Qishan Hospital between 2021 and 2023. Independent factors were explored by logistic regression and Lasso regression analysis, following a model was established. The model's performance was carried out by the receiver operating characteristic curve (ROC) and the area under the curve (AUC), with predictors visualized by nomogram and clinical benefit assessed by decision curve analysis.

resultsOur study included 129 SFTS patients and 89 HFRS patients. Independent predictors included headache (OR: 0.098, 95% CI: 0.015-0.624,

conclusionEffective predictors were CD4+ T cells, WBC (elevated in HFRS, decreased in SFTS), headache and hemorrhage symptoms.

Indexed as

Hemorrhagic Fever with Renal SyndromeSevere Fever with Thrombocytopenia SyndromeAdultAgedChinaDiagnosis, DifferentialFemaleHumansMaleMiddle AgedNomogramsRetrospective StudiesROC Curvedifferential diagnosishemorrhagic fever with renal syndromepredictionSevere fever with thrombocytopenia syndrome

Identifiers

PMID41277128
PMCPMC12646096

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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.