Evidence map›Paper›PMID 25500154›Full record

ArticleParasites & vectors2014

Evaluation of host and viral factors associated with severe dengue based on the 2009 WHO classification.

Jorge O Pozo-Aguilar, Verónica Monroy-Martínez, Daniel Díaz, Jacqueline Barrios-Palacios, Celso Ramos, Armando Ulloa-García, Janet García-Pillado, Blanca H Ruiz-Ordaz

Open access · goldAbstract read
In one paragraph

Article in Parasites & vectors, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 pooled it
2.9field-weighted citation impact, top 9% 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

28 citing papers in PubMed, 2 syntheses or guidelines pooled it, 38 citations in OpenAlex.

  1. Pooled it
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  16. MARCOThe EMBO journal · 2021
    Article
  17. Dengue: A Minireview.Viruses · 2020
    Review
  18. Article
  19. Kinetics of CD4Frontiers in immunology · 2020
    Article
  20. 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

8 authors at 2 institutions in 1 country.

Jorge O Pozo-AguilarDepartamento de Biología Molecular y Biotecnología, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México (UNAM), Código Postal 04510, México, DF, México. jomarpoa@hotmail.com.
Verónica Monroy-MartínezDepartamento de Biología Molecular y Biotecnología, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México (UNAM), Código Postal 04510, México, DF, México. veromon@yahoo.com.
Daniel DíazDepartamento de Biología Celular y Fisiología, Instituto de Investigaciones Biomédicas, UNAM, Sede del tercer Circuito Exterior, México, DF, México. ddiaz@ciencias.unam.mx.
Jacqueline Barrios-PalaciosDepartamento de Biología Molecular y Biotecnología, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México (UNAM), Código Postal 04510, México, DF, México. barriosjacqueline22@gmail.com.
Celso RamosCentro de Investigación sobre Enfermedades Infecciosas, Instituto Nacional de Salud Pública (INSP), Av. Universidad 655, Col. Santa María Ahuacatitlán 62508, Cuernavaca, Morelos, México. cramos@insp.mx.
Armando Ulloa-GarcíaCentro Regional de Investigación en Salud Pública, INSP. 4ª. Norte esquina con 19 Poniente, Código Postal 30700, Tapachula, Chiapas, México. aulloa@insp.mx.
Janet García-PilladoDepartamento de Biología Molecular y Biotecnología, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México (UNAM), Código Postal 04510, México, DF, México. sorjuana@ciencias.unam.mx.
Blanca H Ruiz-OrdazDepartamento de Biología Molecular y Biotecnología, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México (UNAM), Código Postal 04510, México, DF, México. bhro@unam.mx.
Universidad Nacional Autónoma de México · MXInstituto Nacional de Salud Pública · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDengue fever (DF) is the most prevalent arthropod-borne viral disease affecting humans. The World Health Organization (WHO) proposed a revised classification in 2009 to enable the more effective identification of cases of severe dengue (SD). This was designed primarily as a clinical tool, but it also enables cases of SD to be differentiated into three specific subcategories (severe vascular leakage, severe bleeding, and severe organ dysfunction). However, no study has addressed whether this classification has advantage in estimating factors associated with the progression of disease severity or dengue pathogenesis. We evaluate in a dengue outbreak associated risk factors that could contribute to the development of SD according to the 2009 WHO classification.

methodsA prospective cross-sectional study was performed during an epidemic of dengue in 2009 in Chiapas, Mexico. Data were analyzed for host and viral factors associated with dengue cases, using the 1997 and 2009 WHO classifications. The cost-benefit ratio (CBR) was also estimated.

resultsThe sensitivity in the 1997 WHO classification for determining SD was 75%, and the specificity was 97.7%. For the 2009 scheme, these were 100% and 81.1%, respectively. The 2009 classification showed a higher benefit (537%) with a lower cost (10.2%) than the 1997 WHO scheme. A secondary antibody response was strongly associated with SD. Early viral load was higher in cases of SD than in those with DF. Logistic regression analysis identified predictive SD factors (secondary infection, disease phase, viral load) within the 2009 classification. However, within the 1997 scheme it was not possible to differentiate risk factors between DF and dengue hemorrhagic fever or dengue shock syndrome. The critical clinical stage for determining SD progression was the transition from fever to defervescence in which plasma leakage can occur.

conclusionsThe clinical phenotype of SD is influenced by the host (secondary response) and viral factors (viral load). The 2009 WHO classification showed greater sensitivity to identify SD in real time. Timely identification of SD enables accurate early decisions, allowing proper management of health resources for the benefit of patients at risk for SD. This is possible based on the 2009 WHO classification.

Indexed as

AdolescentAdultAgedAntibodies, ViralChildChild, PreschoolCross-Sectional StudiesDengue VirusDisease ProgressionFemaleHumansInfantMaleMexicoMiddle AgedProspective StudiesAntibodies, Viral

Identifiers

PMID25500154
PMCPMC4274692
OpenAlexW2147777481

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.