Evidence map›Paper›PMID 25010515›Full record

ArticlePLoS neglected tropical diseases2014

Predictive tools for severe dengue conforming to World Health Organization 2009 criteria.

Luis R Carrasco, Yee Sin Leo, Alex R Cook, Vernon J Lee, Tun L Thein, Chi Jong Go, David C Lye

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 4 pooled it
5.1field-weighted citation impact, top 5% 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

33 citing papers in PubMed, 4 syntheses or guidelines pooled it, 72 citations in OpenAlex.

  1. Prognostic Models in Patients with Dengue: A Systematic Review.The American journal of tropical medicine and hygiene · 2025
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  10. Predictors of Clinically Significant Bleeding in Thrombocytopenic Dengue Patients Admitted to Intensive Care Unit: A Retrospective Study.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2023
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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

7 authors at 3 institutions in 1 country.

Luis R CarrascoDepartment of Biological Sciences, National University of Singapore, Singapore.
Yee Sin LeoCommunicable Disease Centre, Tan Tock Seng Hospital, Singapore; Saw Swee Hock School of Public Health, National University of Singapore, Singapore.
Alex R CookSaw Swee Hock School of Public Health, National University of Singapore, Singapore; Program in Health Services and Systems Research, Duke-NUS Graduate Medical School, Singapore; Biodefence Centre, Ministry of Defence, Singapore, Singapore.
Vernon J LeeSaw Swee Hock School of Public Health, National University of Singapore, Singapore; Biodefence Centre, Ministry of Defence, Singapore, Singapore; Centre for Health Services Research, National University of Singapore, Singapore.
Tun L TheinCommunicable Disease Centre, Tan Tock Seng Hospital, Singapore.
Chi Jong GoCommunicable Disease Centre, Tan Tock Seng Hospital, Singapore.
David C LyeCommunicable Disease Centre, Tan Tock Seng Hospital, Singapore; Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
National University Health System · SGNational Centre for Infectious Diseases · SGNational University of Singapore · SG

Funding

PHS HHS R154000556112
6 · The paper itself

Abstract

backgroundDengue causes 50 million infections per year, posing a large disease and economic burden in tropical and subtropical regions. Only a proportion of dengue cases require hospitalization, and predictive tools to triage dengue patients at greater risk of complications may optimize usage of limited healthcare resources. For severe dengue (SD), proposed by the World Health Organization (WHO) 2009 dengue guidelines, predictive tools are lacking.

methodsWe undertook a retrospective study of adult dengue patients in Tan Tock Seng Hospital, Singapore, from 2006 to 2008. Demographic, clinical and laboratory variables at presentation from dengue polymerase chain reaction-positive and serology-positive patients were used to predict the development of SD after hospitalization using generalized linear models (GLMs). PRINCIPAL

findingsPredictive tools compatible with well-resourced and resource-limited settings--not requiring laboratory measurements--performed acceptably with optimism-corrected specificities of 29% and 27% respectively for 90% sensitivity. Higher risk of severe dengue (SD) was associated with female gender, lower than normal hematocrit level, abdominal distension, vomiting and fever on admission. Lower risk of SD was associated with more years of age (in a cohort with an interquartile range of 27-47 years of age), leucopenia and fever duration on admission. Among the warning signs proposed by WHO 2009, we found support for abdominal pain or tenderness and vomiting as predictors of combined forms of SD.

conclusionsThe application of these predictive tools in the clinical setting may reduce unnecessary admissions by 19% allowing the allocation of scarce public health resources to patients according to the severity of outcomes.

Indexed as

Severe DengueAbdominal PainAdultFemaleHumansMaleMiddle AgedRetrospective StudiesSingaporeVomitingWorld Health Organization

Identifiers

PMID25010515
PMCPMC4091876
OpenAlexW2010405059

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.