Evidence map›Paper›PMID 31345962›Full record

ArticleBMJ open2019

Dengue during pregnancy and live birth outcomes: a cohort of linked data from Brazil.

Enny S Paixão, Oona M Campbell, Maria Gloria Teixeira, Maria Cn Costa, Katie Harron, Mauricio L Barreto, Maira B Leal, Marcia F Almeida, Laura C Rodrigues

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
5.5field-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

18 citing papers in PubMed, 37 citations in OpenAlex.

  1. Dengue and severe dengue.Clinical microbiology reviews · 2025
    Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Per vaginal bleeding-an important but ignored feature of dengue.medRxiv : the preprint server for health sciences · 2024
    Article
  8. Article
  9. Review
  10. Article
  11. Prevention, diagnosis, and treatment protocol of dengue during pregnancy and the postpartum period.Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2024
    Review
  12. Severe dengue in the intensive care unit.Journal of intensive medicine · 2024
    Review
  13. Dengue in Pregnancy: A Southeast Asian Perspective.Tropical medicine and infectious disease · 2023
    Review
  14. Review
  15. Article
  16. Dengue and COVID-19: two sides of the same coin.Journal of biomedical science · 2022
    Review
  17. Review
  18. Vector-borne diseases in pregnancy.Therapeutic advances in infectious disease
    Review
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 at 4 institutions in 2 countries.

Enny S PaixãoIDE, London School of Hygiene & Tropical Medicine Faculty of Epidemiology and Population Health, London, UK.ORCID 0000-0002-4797-908X
Oona M CampbellIDE, London School of Hygiene & Tropical Medicine Faculty of Epidemiology and Population Health, London, UK.
Maria Gloria TeixeiraInstituto de Saúde Coletiva, Federal University of Bahia, Salvador, Brazil.
Maria Cn CostaInstituto de Saúde Coletiva, Federal University of Bahia, Salvador, Brazil.
Katie HarronDepartment of Health Services Research and Policy, London School of Hygiene & Tropical Medicine, London, UK.ORCID 0000-0002-3418-2856
Mauricio L BarretoCentro de Integração de Dados e Conhecimento para Saúde, Fiocruz, Salvador, Bahia, Brazil.
Maira B LealInstituto de Saúde Coletiva, Federal University of Bahia, Salvador, Brazil.
Marcia F AlmeidaSchool of Public Health, Universidade de São Paulo, São Paulo, Brazil.
Laura C RodriguesIDE, London School of Hygiene & Tropical Medicine Faculty of Epidemiology and Population Health, London, UK.
London School of Hygiene & Tropical Medicine · GBUniversidade Federal da Bahia · BRFundação Oswaldo Cruz · BRUniversidade de São Paulo · BR

Funding

Wellcome TrustWellcome Trust 103975/Z/14/Z
6 · The paper itself

Abstract

objectivesDengue is the most common viral mosquito-borne disease, and women of reproductive age who live in or travel to endemic areas are at risk. Little is known about the effects of dengue during pregnancy on birth outcomes. The objective of this study is to examine the effect of maternal dengue severity on live birth outcomes. DESIGN AND

settingWe conducted a population-based cohort study using routinely collected Brazilian data from 2006 to 2012. PARTICIPATING: We linked birth registration records and dengue registration records to identify women with and without dengue during pregnancy. Using multinomial logistic regression and Firth method, we estimated risk and ORs for preterm birth (<37 weeks' gestation), low birth weight (<2500 g) and small for gestational age (<10thcentile). We also investigated the effect of time between the onset of the disease and each outcome.

resultsWe included 16 738 000 live births. Dengue haemorrhagic fever was associated with preterm birth (OR=2.4; 95% CI 1.3 to 4.4) and low birth weight (OR=2.1; 95% CI 1.1 to 4.0), but there was no evidence of effect for small for gestational age (OR=2.1; 95% CI 0.4 to 12.2). The magnitude of the effects was higher in the acute disease period.

conclusionThis study showed an increased risk of adverse birth outcomes in women with severe dengue during pregnancy. Medical intervention to mitigate maternal risk during severe acute dengue episodes may improve outcomes for infants born to exposed mothers.

Indexed as

Infant, Low Birth WeightLive BirthAdultBrazilCohort StudiesDengueFemaleGestational AgeHumansInfant, NewbornInfant, Small for Gestational AgeLogistic ModelsPregnancyPregnancy Complications, InfectiousPremature BirthSemantic Webbirth outcomesdenguepregnancy

Identifiers

PMID31345962
PMCPMC6661644
OpenAlexW2964118664

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.