Evidence map›Paper›PMID 29211743›Full record

ArticlePLoS neglected tropical diseases2017

Symptoms associated with adverse dengue fever prognoses at the time of reporting in the 2015 dengue outbreak in Taiwan.

Chun-Yin Yeh, Po-Lin Chen, Kun-Ta Chuang, Yu-Chen Shu, Yu-Wen Chien, Guey Chuen Perng, Wen-Chien Ko, Nai-Ying Ko

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Risk factors associated with dengue lethality: case-control study, Joinville, Brazil.Revista da Sociedade Brasileira de Medicina Tropical · 2026
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  15. Cytokine Signature of Dengue Patients at Different Severity of the Disease.International journal of molecular sciences · 2021
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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.

Chun-Yin YehInstitute of Allied Health Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Po-Lin ChenDepartment of Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Kun-Ta ChuangDepartment of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan.
Yu-Chen ShuDepartment of Mathematics, National Cheng Kung University, Tainan, Taiwan.
Yu-Wen ChienDepartment of Public Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Guey Chuen PerngDepartment of Microbiology and Immunology, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Wen-Chien KoDepartment of Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Nai-Ying KoInstitute of Allied Health Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan.ORCID http://orcid.org/0000-0002-3007-2537

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTainan experienced the most severe dengue epidemic in Taiwan in 2015. This study investigates the association between the signs and symptoms at the time of reporting with the adverse dengue prognoses.

methodsA descriptive study was conducted using secondary data from the Dengue Disease Reporting System in Tainan, Taiwan, between January 1 and December 31, 2015. A multivariate stepwise logistic regression was used to identify the risk factors for the adverse prognoses: ICU admissions and mortality.

resultsThere were 22,777 laboratory-confirmed reported cases (mean age 45.6 ± 21.2 years), of which 3.7% were admitted to intensive care units (ICU), and 0.8% were fatal. The most common symptoms were fever (92.8%), myalgia (26.6%), and headache (22.4%). The prevalence of respiratory distress, altered consciousness, shock, bleeding, and thrombocytopenia increased with age. The multivariate analysis indicated that being in 65-89 years old age group [Adjusted Odds Ratio (aOR):4.95], or the 90 years old and above age group (aOR: 9.06), and presenting with shock (aOR: 8.90) and respiratory distress (aOR: 5.31) were significantly associated with the risk of ICU admission. While old age (aOR: 1.11), respiratory distress (aOR: 9.66), altered consciousness (aOR: 7.06), and thrombocytopenia (aOR: 2.55) were significantly associated with the risk of mortality.

conclusionsDengue patients older than 65 and those with severe and non-specific signs and symptoms at the time of reporting were at a higher risk of ICU admission and mortality. First-line healthcare providers need to be aware of the varied presentations between the different age groups to allow early diagnosis and in-time management, which would prevent ICU admissions and fatalities in dengue patients.

Indexed as

Disease OutbreaksRegistriesAdolescentAdultAgedAged, 80 and overDengueEpidemicsFemaleFeverHospitalizationHumansIntensive Care UnitsLogistic ModelsMaleMiddle Aged

Identifiers

PMID29211743
PMCPMC5718413

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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.