Evidence map›Paper›PMID 41811916›Full record

ArticleJournal of immunology research2026

Integration of SFTSV Viral Load, Age, and Double-Negative B-Cells as Prognostic Biomarkers for Severe Fever With Thrombocytopenia Syndrome Outcomes.

Wei Wei, Qian Tai, Heng Liu, Rujia Chen, Yun Wang, Ting Wang, Renren Ouyang, Shiji Wu, Feng Wang, Hongyan Hou

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of immunology research, 2026. 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

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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Wei WeiDepartment of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China, hust.edu.cn.
Qian TaiDepartment of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China, hust.edu.cn.
Heng LiuDepartment of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China, hust.edu.cn.
Rujia ChenDepartment of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China, hust.edu.cn.
Yun WangDepartment of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China, hust.edu.cn.
Ting WangDepartment of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China, hust.edu.cn.
Renren OuyangDepartment of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China, hust.edu.cn.
Shiji WuDepartment of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China, hust.edu.cn.ORCID https://orcid.org/0000-0002-0238-6926
Feng WangDepartment of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China, hust.edu.cn.ORCID https://orcid.org/0000-0001-6324-9135
Hongyan HouDepartment of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China, hust.edu.cn.ORCID https://orcid.org/0000-0003-2337-0509

Funding

National Key Research and Development Program of China 2022YFA1303500National Natural Science Foundation of China 82,502,807
6 · The paper itself

Abstract

backgroundSevere fever with thrombocytopenia syndrome (SFTS) is a tick-borne viral illness with high mortality, yet early risk stratification remains challenging. Recent evidence suggests that B-cell dysregulation contributes to disease severity.

methodsA cohort of 168 patients with confirmed SFTS was retrospectively analyzed. Flow cytometry was used to quantify B-cell subsets in peripheral blood at admission. Laboratory markers, viral load, and B-cell phenotypes were evaluated for prognostic relevance using univariate and multivariate Cox regression analyses. Receiver operating characteristic (ROC) curves and nomogram models were employed to assess predictive value.

resultsDeceased patients exhibited significantly higher viral loads, elevated proinflammatory cytokines (interleukin-6 (IL-6), IL-10, and tumor necrosis factor-alpha (TNF-α)), and markers of multiorgan dysfunction. Immunophenotyping revealed a reduction in naïve B-cells (IgD

conclusionThis study demonstrates that integrating B-cell subset profiling with laboratory indicators significantly improves early prognostic assessment in SFTS. These findings provide insights into immune-pathological mechanisms and support timely risk stratification and intervention to reduce mortality.

Indexed as

B-LymphocytesB-Lymphocyte SubsetsPhlebovirusSevere Fever with Thrombocytopenia SyndromeViral LoadAgedAge FactorsBiomarkersCytokinesFemaleHumansImmunophenotypingMaleMiddle AgedPrognosisRetrospective StudiesBiomarkersCytokinesageB-celldouble negative B-cellsprognosissevere fever with thrombocytopenia syndromeSFTSV

Identifiers

PMID41811916
PMCPMC13140936

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Registered trials

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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.