Evidence map›Paper›PMID 40693037›Full record

ArticleBiosafety and health2025

The holistic rehabilitation from acute severe fever with thrombocytopenia syndrome virus infection to 10 years after recovery: A cross-sectional study.

Min Li, Yalan Wang, Peiwen Qiao, Yaxin Guo, Peipei Guo, Tian Ma, Shaobo Dong, Jianbo Zhan, Jun Liu, Guizhen Wu

Abstract read
In one paragraph

Article in Biosafety and health, 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

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.

Min LiNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China.
Yalan WangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China.
Peiwen QiaoNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China.
Yaxin GuoNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China.
Peipei GuoNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China.
Tian MaNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China.
Shaobo DongOffice of Health Emergency, Macheng Center for Disease Control and Prevention, Macheng 421181, China.
Jianbo ZhanHubei Provincial Center for Disease Control and Prevention, Wuhan 430079, China.
Jun LiuStrategic Pandemic Action and Research Center (SPARC), Guangzhou National Laboratory, Guangzhou 510005, China.
Guizhen WuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute viral infections may lead to long-term adverse health effects. Investigating the hematological and biochemical profiles during recovery can provide valuable insights into the prognosis of severe fever with thrombocytopenia syndrome (SFTS) virus infection. Herein, we performed a cross-sectional analysis of 24 hematological parameters and 12 liver and kidney function-related indicators in 143 naturally infected SFTS patients from the acute phase to 10 years post-recovery. Statistical analyses were performed using the Chi-square test (

Indexed as

Blood biochemistryCross-sectional studyHematological parametersSevere fever with thrombocytopenia syndrome (SFTS)

Identifiers

PMID40693037
PMCPMC12276564

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.