Evidence map›Paper›PMID 42861295›Full record

ArticleResearch and practice in thrombosis and haemostasis2026

SFTSV infection drives platelet-associated fibrinogen accumulation and platelet-mediated coagulopathy.

Chenhui Lin, Ling Xu, Chaoxiong Yue, Yaohui Fang, Jingyuan Zhang, Jie Fu, Hanxin Li, Xiaoyu Hu, Jianlun Xu, Haixia Yang and 6 more

Abstract read
In one paragraph

Article in Research and practice in thrombosis and haemostasis, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Chenhui LinState Key Laboratory of Virology and Biosafety and National Virus Resource Center, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, Hubei, China.
Ling XuDepartment of Infectious Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Chaoxiong YueState Key Laboratory of Virology and Biosafety and National Virus Resource Center, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, Hubei, China.
Yaohui FangState Key Laboratory of Virology and Biosafety and National Virus Resource Center, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, Hubei, China.
Jingyuan ZhangState Key Laboratory of Virology and Biosafety and National Virus Resource Center, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, Hubei, China.
Jie FuState Key Laboratory of Virology and Biosafety and National Virus Resource Center, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, Hubei, China.
Hanxin LiDepartment of Infectious Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Xiaoyu HuWuhan Blood Center, Wuhan, Hubei, China.
Jianlun XuState Key Laboratory of Virology and Biosafety and National Virus Resource Center, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, Hubei, China.
Haixia YangState Key Laboratory of Virology and Biosafety and National Virus Resource Center, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, Hubei, China.
Chunxia GuoDepartment of Infectious Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Yan MaWuhan Blood Center, Wuhan, Hubei, China.
Fei DengState Key Laboratory of Virology and Biosafety and National Virus Resource Center, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, Hubei, China.
Xin ZhengDepartment of Infectious Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Fengwu QiuWuhan Blood Center, Wuhan, Hubei, China.
Shu ShenState Key Laboratory of Virology and Biosafety and National Virus Resource Center, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Severe fever with thrombocytopenia syndrome (SFTS) is an emerging viral hemorrhagic fever characterized by high mortality, thrombocytopenia, and coagulation abnormalities. Unlike other inflammatory conditions where plasma fibrinogen rises, patients with SFTS exhibit normal fibrinogen levels despite evidence of consumptive coagulopathy and hepatocyte injury. Objectives: The aim of this study was to investigate whether platelets contribute to fibrinogen dysregulation and coagulopathy in SFTS. Methods: We enrolled 102 patients with SFTS stratified by clinical symptoms (mild vs severe) and by platelet count (<50 × 10 Results: Patients with SFTS exhibited significant platelet activation and elevated platelet-associated fibrinogen levels despite normal plasma levels. Patients with severe thrombocytopenia (platelet count <50 × 10 Conclusion: SFTSV infection drives platelet activation and fibrinogen association, potentially leading to enhanced clot formation and contributing to thrombocytopenia. This platelet-centric pathway provides a mechanistic explanation for the distinct coagulopathy of SFTS and identifies platelet fibrinogen as a potential therapeutic target.

Indexed as

Blood CoagulationBlood Coagulation DisordersBlood PlateletsFibrinogenPhlebovirusSevere Fever with Thrombocytopenia SyndromeAdultAgedAnimalsFemaleHumansMaleMiceMice, Inbred C57BLMiddle AgedPlatelet ActivationFibrinogenPlatelet Glycoprotein GPIIb-IIIa ComplexP-SelectinSELP protein, humancoagulopathyfibrinogenplateletssevere fever with thrombocytopenia syndrome virusthrombocytopenia

Identifiers

PMID42861295
PMCPMC13654574

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.