Evidence map›Paper›PMID 33708835›Full record

ArticleAnnals of translational medicine2021

The predictive effect of the platelet-to-lymphocyte ratio (PLR) and the neutrophil-to-lymphocyte ratio (NLR) on the risk of death in patients with severe fever with thrombocytopenia syndrome (SFTS): a multi-center study in China.

Xiankun Wang, Ling Lin, Zhenghua Zhao, Wei Zhou, Zirou Ge, Yi Shen, Lin Wang, Wei Zhang, Rui Song, Di Tian and 12 more

Abstract read
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Article in Annals of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

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16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

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  16. Evaluation of Hemato-Inflammatory Parameters NLR, PLR and HPR in Patients with Immune Thrombocytopenic Purpura (ITP) in South-East Iran: A Retrospective Study.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    Article
4 · The record

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5 · Who and what money

Authors and funding

22 authors.

Xiankun WangCenter of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University. Beijing, China.
Ling LinDepartment of Infectious Diseases, Yantai City Hospital for Infectious Disease, Yantai, China.
Zhenghua ZhaoDepartment of Infectious Diseases, Taian City Central Hospital, Taian, China.
Wei ZhouDepartment of Infectious Diseases, Dalian sixth people's hospital, Dalian, China.
Zirou GeCenter of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University. Beijing, China.
Yi ShenDepartment of Infectious Diseases, Dandong Infectious Disease Hospital, Dandong, China.
Lin WangCenter of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University. Beijing, China.
Wei ZhangCenter of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University. Beijing, China.
Rui SongCenter of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University. Beijing, China.
Di TianCenter of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University. Beijing, China.
Jing WenCenter of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University. Beijing, China.
Shuping CuiCenter of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University. Beijing, China.
Xiaoli YuDepartment of Infectious Diseases, Dandong Infectious Disease Hospital, Dandong, China.
Yang FengDepartment of Infectious Diseases, Taian City Central Hospital, Taian, China.
Yuanni LiuDepartment of Infectious Diseases, Yantai City Hospital for Infectious Disease, Yantai, China.
Chunqian QiangDepartment of Infectious Diseases, Yantai City Hospital for Infectious Disease, Yantai, China.
Jianping DuanDepartment of Infectious Diseases, Qing Dao No. 6 People's Hospital, Qingdao, China.
Yanli MaDepartment of Infectious Diseases, Qing Dao No. 6 People's Hospital, Qingdao, China.
Xingwang LiCenter of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University. Beijing, China.
Tianli FanDepartment of Infectious Diseases, Qing Dao No. 6 People's Hospital, Qingdao, China.
Yongxiang ZhaoDepartment of Infectious Diseases, Dandong Infectious Disease Hospital, Dandong, China.
Zhihai ChenCenter of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University. Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSevere fever with thrombocytopenia syndrome is caused by infection with the severe fever with thrombocytopenia syndrome virus.

methodsBetween April 2011 and December 2019, data on consecutive patients who were diagnosed with severe fever with thrombocytopenia syndrome were prospectively collected from five medical centers in China. The score of the death risk model was correlated with the platelet-to-lymphocyte ratio and the neutrophil-to-lymphocyte ratio. Multivariable Cox analyses were used to identify the independent factors associated with mortality.

resultsDuring the study period, 763 patients were diagnosed with severe fever with thrombocytopenia syndrome; 415 of these patients were enrolled in our study. We found that the neutrophil-to-lymphocyte ratio of the group that died was significantly higher on admission (P=0.007) than that of the group that survived, and the neutrophil-to-lymphocyte ratio showed a positive correlation with the score of the death risk model. Multivariate Cox regression suggested that a neutrophil-to-lymphocyte ratio greater than 5.4 was an independent risk factor for survival time (HR=6.767, P=0.011). Platelet-to-lymphocyte ratio did not show a special role in this study.

conclusionsA neutrophil-to-lymphocyte ratio greater than 5.4 can increase the risk of death and decrease the survival time of patients. In summary, the neutrophil-to-lymphocyte ratio provides a supplementary means for effectively managing severe fever with thrombocytopenia syndrome (SFTS).

Indexed as

neutrophil-to-lymphocyte ratioplatelet-to-lymphocyte ratioSevere fever with thrombocytopenia syndrome (SFTS)

Identifiers

PMID33708835
PMCPMC7940944

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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.