Evidence map›Paper›PMID 39965218›Full record

ReviewThe American journal of tropical medicine and hygiene2025

Epidemiological Characteristics of Severe Fever with Thrombocytopenia Syndrome.

Sakarn Charoensakulchai, Keita Matsuno, Emi E Nakayama, Tatsuo Shioda, Hisham A Imad

Abstract readReview
In one paragraph

Review in The American journal of tropical medicine and hygiene, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 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, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

5 authors.

Sakarn CharoensakulchaiThai Travel Clinic, Hospital for Tropical Diseases, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Keita MatsunoDivision of Risk Analysis and Management, International Institute for Zoonosis Control, Hokkaido University, Sapporo, Japan.
Emi E NakayamaCenter for Infectious Disease Education and Research, Department of Viral Infections, Research Institute for Microbial Diseases, Osaka University, Osaka, Japan.
Tatsuo ShiodaCenter for Infectious Disease Education and Research, Department of Viral Infections, Research Institute for Microbial Diseases, Osaka University, Osaka, Japan.
Hisham A ImadThai Travel Clinic, Hospital for Tropical Diseases, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe fever with thrombocytopenia syndrome (SFTS) is an emerging infectious disease primarily reported in Asia. This review aims to summarize studies on the epidemiological characteristics of SFTS. Literature from PubMed and Scopus was searched up to February 14, 2024. A total of 76 articles were eligible. Infections were reported in China, Japan, South Korea, and several other countries in Asia. The incidence of SFTS has been rising and reported from new areas across Asia. The incidence rate was highest in China, ranging from fewer than 0.1 to 4.2 cases per 100,000 population and reaching up to 127.6 cases per 100,000 population in some areas. Most cases occurred between April and December. Elderly farmers and veterinarians were the most affected group. Key epidemiological factors included direct contact with animals, outdoor work, vegetation near homes, rural or hilly residency, tick bites, and direct contact with blood or saliva from infected animals or humans.

Indexed as

Severe Fever with Thrombocytopenia SyndromeAnimalsAsiaChinaHumansIncidencePhlebovirus

Identifiers

PMID39965218
PMCPMC12062676

What OpenQuestion holds

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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.