Evidence map›Paper›PMID 41601653›Full record

ArticleFrontiers in immunology2025

Interleukin-10 as a potential biomarker reflecting the multidimensional pathological network in patients with severe fever with thrombocytopenia syndrome: viral load, cytokine storm, organ damage, and immune suppression.

Ruihua Zhang, Jingxia Wang, Yanli Xu, Ruize Ma, Wan Peng, Zhouling Jiang, Hongxiao Wu, Chenxi Zhao, Ling Lin, Mengyuan Zhang and 3 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

13 authors.

Ruihua Zhang *National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Jingxia Wang *National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Yanli Xu *Department of Infectious Diseases, Yantai Qishan Hospital, Yantai, China.
Ruize MaNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Wan PengNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Zhouling JiangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Hongxiao WuDepartment of Respiratory Medicine, Binzhou Medical University Hospital, Binzhou, China.
Chenxi ZhaoNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Ling LinDepartment of Infectious Diseases, Yantai Qishan Hospital, Yantai, China.
Mengyuan ZhangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Zhihai ChenNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Jianping DuanDepartment of Infectious Diseases, Qingdao Sixth People's Hospital, Shandong, China.
Yaxian KongNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Severe fever with thrombocytopenia syndrome (SFTS) is a highly fatal infectious disease, potentially driven by cytokine storms. This study evaluates plasma interleukin-10 (IL-10) as a prognostic biomarker by analyzing its association with disease severity and outcomes, aiming to improve early risk stratification and clinical management. Methods: A retrospective study was conducted on SFTS admitted to Yantai Infectious Disease Hospital from 2022 to 2024. Patients were grouped into survivors (n=160) and non-survivors (n=55). Clinical data from the first 24 hours of admission were collected. To determine independent risk factors influencing prognosis, logistic regression analysis was utilized, particularly assessing the clinical predictive significance of IL-10. Results: This investigation assessed 215 SFTS patients, where 160 were placed in the survival category and 55 in the mortality category. Multivariate analysis identified IL-10 as an independent predictor of mortality in individuals with SFTS. Receiver Operating Characteristic curve analysis indicated that IL-10 possessed a strong predictive capability for patient mortality, achieving an area under the curve (AUC) of 0.8044 (95% Conclusion: Plasma IL-10 is an early prognostic biomarker for SFTS, with serial monitoring guiding clinical decisions to improve outcomes.

Indexed as

Cytokine Release SyndromeInterleukin-10Severe Fever with Thrombocytopenia SyndromeAdultAgedBiomarkersFemaleHumansMaleMiddle AgedPhlebovirusPrognosisRetrospective StudiesViral LoadBiomarkersIL10 protein, humanInterleukin-10biomarkerscytokine storminterleukin-10prognosissevere fever with thrombocytopenia syndrome

Identifiers

PMID41601653
PMCPMC12832826

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.