Evidence map›Paper›PMID 33374620›Full record

ArticleViruses2020

Prognostic Factors of Severe Fever with Thrombocytopenia Syndrome in South Korea.

Misun Kim, Sang Taek Heo, Hyunjoo Oh, Suhyun Oh, Keun Hwa Lee, Jeong Rae Yoo

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.1field-weighted citation impact, top 40% of its field
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

10 citing papers in PubMed, 11 citations in OpenAlex.

  1. A Novel Machine Learning Approach for Predicting Prognosis of SFTS Patients in the Early Stages of Disease.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2026
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  10. Seroreactivity toPathogens (Basel, Switzerland) · 2021
    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

6 authors at 2 institutions in 1 country.

Misun KimDepartment of Internal Medicine, Jeju National University Hospital, Jeju 63241, Korea.ORCID 0000-0003-3771-6101
Sang Taek HeoDepartment of Internal Medicine, Jeju National University Hospital, Jeju 63241, Korea.ORCID 0000-0001-8947-5069
Hyunjoo OhDepartment of Internal Medicine, Jeju National University Hospital, Jeju 63241, Korea.
Suhyun OhDepartment of Internal Medicine, College of Medicine and Graduate School of Medicine, Jeju National University, Jeju 63241, Korea.
Keun Hwa LeeDepartment of Microbiology, College of Medicine, Hanyang University, Seoul 04763, Korea.ORCID 0000-0001-9600-461X
Jeong Rae YooDepartment of Internal Medicine, Jeju National University Hospital, Jeju 63241, Korea.ORCID 0000-0002-5488-7925
Jeju National University Hospital · KRHanyang University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe fever with thrombocytopenia syndrome (SFTS), a tick-borne infectious disease, is difficult to differentiate from other common febrile diseases. Clinically distinctive features and climate variates associated with tick growth can be useful predictors for SFTS. This retrospective study (2013-2019) demonstrated the role of climatic factors as predictors of SFTS and developed a clinical scoring system for SFTS using climate variables and clinical characteristics. The presence of the SFTS virus was confirmed using reverse transcription polymerase chain reaction (RT-PCR) tests. In the univariate analysis, the SFTS-positive group was significantly associated with higher mean ambient temperature and humidity compared with the SFTS-negative group (22.5 °C vs. 18.9 °C; 77.9% vs. 70.7%, all

Indexed as

PhlebovirusAgedFemaleGenetic TestingGenome, ViralGeography, MedicalHumansMaleMiddle AgedOdds RatioPrognosisPublic Health SurveillanceRepublic of KoreaRisk FactorsROC CurveSevere Fever with Thrombocytopenia Syndromeambient temperatureclinical characteristicssevere fever with thrombocytopenia syndrome

Identifiers

PMID33374620
PMCPMC7822455
OpenAlexW3116811271

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.