Evidence map›Paper›PMID 31616598›Full record

ArticlePeerJ2019

Characterization of dengue cases among patients with an acute illness, Central Department, Paraguay.

Alejandra Rojas, Fátima Cardozo, César Cantero, Victoria Stittleburg, Sanny López, Cynthia Bernal, Francisco Eugenio Gimenez Acosta, Laura Mendoza, Benjamin A Pinsky, Ivalena Arévalo de Guillén and 2 more

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

5 citing papers in PubMed, 14 citations in OpenAlex.

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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

12 authors at 4 institutions in 2 countries.

Alejandra RojasDepartamento de Producción, Instituto de Investigaciones en Ciencias de la Salud, Universidad Nacional de Asunción, San Lorenzo, Paraguay.
Fátima CardozoDepartamento de Salud Pública, Instituto de Investigaciones en Ciencias de la Salud, Universidad Nacional de Asunción, San Lorenzo, Paraguay.
César CanteroDepartamento de Producción, Instituto de Investigaciones en Ciencias de la Salud, Universidad Nacional de Asunción, San Lorenzo, Paraguay.
Victoria StittleburgDepartment of Medicine, Division of Infectious Diseases, Emory University, Atlanta, GA, United States of America.
Sanny LópezDepartamento de Producción, Instituto de Investigaciones en Ciencias de la Salud, Universidad Nacional de Asunción, San Lorenzo, Paraguay.
Cynthia BernalDepartamento de Producción, Instituto de Investigaciones en Ciencias de la Salud, Universidad Nacional de Asunción, San Lorenzo, Paraguay.
Francisco Eugenio Gimenez AcostaÁrea Ambulatoria, Hospital Distrial de Villa Elisa, Asunción, Paraguay.
Laura MendozaDepartamento de Salud Pública, Instituto de Investigaciones en Ciencias de la Salud, Universidad Nacional de Asunción, San Lorenzo, Paraguay.
Benjamin A PinskyDepartment of Pathology, Stanford University School of Medicine, Stanford, CA, United States of America.
Ivalena Arévalo de GuillénDepartamento de Producción, Instituto de Investigaciones en Ciencias de la Salud, Universidad Nacional de Asunción, San Lorenzo, Paraguay.
Malvina PáezDepartamento de Salud Pública, Instituto de Investigaciones en Ciencias de la Salud, Universidad Nacional de Asunción, San Lorenzo, Paraguay.
Jesse WaggonerDepartment of Medicine, Division of Infectious Diseases, Emory University, Atlanta, GA, United States of America.
Universidad Nacional de Asunción · PYEmory University · USGuyra Paraguay · PYStanford University · US

Funding

Once Bitten: Detecting the World???s Most Common Vector-Borne PathogensK08AI110528 · NIAID · STANFORD UNIVERSITY · PI WAGGONER, JESSE · 2014 to 2018
$917k
NIAID NIH HHS K08 AI110528
6 · The paper itself

Abstract

backgroundIn 2018, Paraguay experienced a large dengue virus (DENV) outbreak. The primary objective of this study was to characterize dengue cases in the Central Department, where the majority of cases occur, and identify factors associated with DENV infection.

methodsPatients were enrolled from January-May 2018 if they presented with a suspected arboviral illness. Acute-phase specimens (≤8 days after symptom onset) were tested using rRT-PCR, a rapid diagnostic test for DENV nonstructural protein 1 (NS1) and anti-DENV IgM and IgG, and ELISA for IgG against NS1 from Zika virus (ZIKV).

resultsA total of 231 patients were enrolled (95.2% adults) at two sites: emergency care and an outpatient clinical site. Patients included 119 (51.5%) dengue cases confirmed by rRT-PCR (

conclusionsFindings from a predominantly adult population demonstrate clinical and laboratory factors associated with DENV infections and the potential severity of dengue in this group. The combination of viral load and specific IgG antibodies warrant further study as a prognostic to identify patients at risk for severe disease.

Indexed as

Anti-NS1 antibodyDengue virusDiagnosisHospitalizationNS1RT-PCRViral load

Identifiers

PMID31616598
PMCPMC6790102
OpenAlexW2980177908

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.