Evidence map›Paper›PMID 35726737›Full record

ArticleEpidemiology and infection2022

A ten-year assessment of the epidemiological features and fatal risk factors of hospitalised severe fever with thrombocytopenia syndrome in Eastern China.

Zhipeng Zu, Yafei Hu, Xiang Zheng, Cairong Chen, Yishuang Zhao, Yan Jin, Haijiang Lin, Na He

Abstract read
In one paragraph

Article in Epidemiology and infection, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
–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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Review
  5. Epidemiological Characteristics of Severe Fever with Thrombocytopenia Syndrome.The American journal of tropical medicine and hygiene · 2025
    Review
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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

8 authors.

Zhipeng ZuSchool of Public Health, and the Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China.
Yafei HuTaizhou City Center for Disease Control and Prevention, Taizhou, Zhejiang Province, China.
Xiang ZhengTaizhou City Center for Disease Control and Prevention, Taizhou, Zhejiang Province, China.
Cairong ChenTaizhou City Center for Disease Control and Prevention, Taizhou, Zhejiang Province, China.
Yishuang ZhaoTaizhou City Center for Disease Control and Prevention, Taizhou, Zhejiang Province, China.
Yan JinTaizhou City Center for Disease Control and Prevention, Taizhou, Zhejiang Province, China.
Haijiang LinSchool of Public Health, and the Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China.
Na HeSchool of Public Health, and the Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China.ORCID 0000-0001-5560-5312

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe fever with thrombocytopenia syndrome (SFTS) virus has caused a large number of human infections since discovered in 2009. This study elucidated epidemiological features and fatal risk factors of SFTS cases accumulated up to ten years in Taizhou, a coastal prefecture of Zhejiang Province in Eastern China. A total of 188 hospitalised SFTS cases (including 40 deaths) reported to Taizhou Center for Disease Control and Prevention (CDC) during 2011-2020 were enrolled in the study. In the past decade, the annual incidence of SFTS increased over the years (

Indexed as

Bunyaviridae InfectionsPhlebovirusSevere Fever with Thrombocytopenia SyndromeThrombocytopeniaChinaFemaleFeverHumansMaleMiddle AgedRisk FactorsEpidemiologyfamily clustersrisk factorssevere fever with thrombocytopenia syndrome (SFTS)

Identifiers

PMID35726737
PMCPMC9306006

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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.