Evidence map›Paper›PMID 28764747›Full record

ArticleInfectious diseases of poverty2017

Dengue-specific serotype related to clinical severity during the 2012/2013 epidemic in centre of Brazil.

Benigno A M Rocha, Adriana O Guilarde, Angela F L T Argolo, Marianna Peres Tassara, Lucimeire A da Silveira, Isabela C Junqueira, Marília D Turchi, Valéria C R Féres, Celina M T Martelli

Abstract read
In one paragraph

Article in Infectious diseases of poverty, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

20 citing papers in PubMed.

  1. Review
  2. Time series analysis (2015-2022): dengue risk scenario in Goiás, Brazil.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2026
    Article
  3. Review
  4. Article
  5. Transplacental transmission of dengue infection.World journal of virology · 2024
    Article
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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

9 authors.

Benigno A M RochaInstitute of Tropical Pathology and Public Health, Federal University of Goiás, Goiânia, Brazil. benigno.rocha@gmail.com.
Adriana O GuilardeInstitute of Tropical Pathology and Public Health, Federal University of Goiás, Goiânia, Brazil.
Angela F L T ArgoloInstitute of Tropical Pathology and Public Health, Federal University of Goiás, Goiânia, Brazil.
Marianna Peres TassaraInstitute of Tropical Pathology and Public Health, Federal University of Goiás, Goiânia, Brazil.
Lucimeire A da SilveiraInstitute of Tropical Pathology and Public Health, Federal University of Goiás, Goiânia, Brazil.
Isabela C JunqueiraInstitute of Tropical Pathology and Public Health, Federal University of Goiás, Goiânia, Brazil.
Marília D TurchiInstitute of Tropical Pathology and Public Health, Federal University of Goiás, Goiânia, Brazil.
Valéria C R FéresFaculty of Pharmacy, Federal University of Goiás, Goiânia, Brazil.
Celina M T MartelliInstitute of Tropical Pathology and Public Health, Federal University of Goiás, Goiânia, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Please see Additional file 1 for translations of the abstract into the five official working languages of the United Nations.

backgroundCurrently, in Brazil, there is a co-circulation of the four dengue (DENV-1 to DENV-4) serotypes. This study aimed to assess whether different serotypes and antibody response patterns were associated with the severity of the disease during a dengue outbreak, which occurred in 2012/2013 in centre of Brazil.

methodsWe conducted a prospective study with 452 patients with laboratory confirmed dengue in central Brazil, from January 2012 to July 2013. The clinical outcome was the severity of cases: dengue, dengue with warning signs, and severe dengue. The patients were evaluated at three different moments. Blood sampling for laboratory testing and confirmatory tests for dengue infection were performed. We performed a multinomial analysis considering the three categories of the dependent variable, as outlined above. The odds ratios (ORs) were calculated. A multinomial logistic regression model was applied for variables with a P-value <0.20. Statistical analysis was performed with STATA 12.0 software.

resultsFour hundred fifty-two patients (452/632, 71.5%) were diagnosed with dengue. The dengue virus (DENV) serotypes were identified in 243 cases. DENV-4 was detected in 135 patients (55.6%), DENV-1 in 91 (37.4%), DENV-3 in 13 (5.3%), and DENV-2 in 4 (1.6%). Patients with the DENV-1 serotype were more prone to present with several clinical and laboratory features as compared with DENV-4 patients, including spontaneous bleeding (P = 0.03), intense abdominal pain (P = 0.004), neurological symptoms (P = 0.09), and thrombocytopenia (P = 0.01). Secondary infection was more predominant among DENV-4 cases (80.0%) compared with DENV-1 cases (62.3%) (P = 0.03). The univariate analysis showed that females (OR = 2.12; 95% CI: 1.44-3.13; P < 0.01) had a higher risk of having dengue with warning signs. The multinomial analysis showed that severe dengue cases with secondary infection had an adjusted OR of 2.80 (95% CI: 0.78-10.00; P = 0.113) as compared with dengue fever with primary infection when adjusted for age and sex.

conclusionThe current data show that 5.8% of patients recruited for treatment in healthcare centres and hospitals during the study period had severe dengue. DENV-4 was the predominant serotype, followed by DENV-1, in a large outbreak of dengue in central Brazil. Our findings contribute to the understanding of clinical differences and immune status related to the serotypes DENV-1 and DENV-4 in central of Brazil.

Indexed as

Disease OutbreaksSerogroupAdolescentAdultAgedBrazilChildChild, PreschoolCoinfectionDengueDengue VirusFemaleHumansInfantMaleMiddle AgedBrazilDengueDengue type 4Secondary infectionSevere dengue

Identifiers

PMID28764747
PMCPMC5540539

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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.