Evidence map›Paper›PMID 31545803›Full record

ArticlePLoS neglected tropical diseases2019

Impact evaluation of Zika epidemic on congenital anomalies registration in Brazil: An interrupted time series analysis.

Enny S Paixão, Moreno S Rodrigues, Luciana L Cardim, Juliane F Oliveira, Catharina L C, Maria da Conceição N Costa, Maurício L Barreto, Laura C Rodrigues, Liam Smeeth, Roberto F S Andrade and 2 more

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 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
–field-weighted citation impact
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.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Spatiotemporal Analysis of the Population Risk of Congenital Microcephaly in Pernambuco State, Brazil.International journal of environmental research and public health · 2020
    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

12 authors.

Enny S PaixãoCentro de Integração de Dados e Conhecimentos para Saúde, Centro de Pesquisas Gonçalo Muniz, Fiocruz, Salvador,Brazil.ORCID 0000-0002-4797-908X
Moreno S RodriguesCentro de Integração de Dados e Conhecimentos para Saúde, Centro de Pesquisas Gonçalo Muniz, Fiocruz, Salvador,Brazil.
Luciana L CardimCentro de Integração de Dados e Conhecimentos para Saúde, Centro de Pesquisas Gonçalo Muniz, Fiocruz, Salvador,Brazil.
Juliane F OliveiraCentro de Integração de Dados e Conhecimentos para Saúde, Centro de Pesquisas Gonçalo Muniz, Fiocruz, Salvador,Brazil.
Catharina L CCentro de Integração de Dados e Conhecimentos para Saúde, Centro de Pesquisas Gonçalo Muniz, Fiocruz, Salvador,Brazil.
Maria da Conceição N CostaInstituto de Saúde Coletiva, Universidade Federal da Bahia, Salvador, Bahia, Brazil.
Maurício L BarretoCentro de Integração de Dados e Conhecimentos para Saúde, Centro de Pesquisas Gonçalo Muniz, Fiocruz, Salvador,Brazil.
Laura C RodriguesEpidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Liam SmeethEpidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Roberto F S AndradeCentro de Integração de Dados e Conhecimentos para Saúde, Centro de Pesquisas Gonçalo Muniz, Fiocruz, Salvador,Brazil.
Wanderson K OliveiraSecretaria de Vigilância em Saúde, Ministério da Saúde, Brasília, Distrito Federal, Brazil.
Maria Glória TeixeiraEpidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.

Funding

Wellcome TrustWellcome Trust 213589/Z/18/Z
6 · The paper itself

Abstract

This study aimed to assess the impact of the Zika epidemic on the registration of birth defects in Brazil. We used an interrupted time series analysis design to identify changes in the trends in the registration of congenital anomalies. We obtained monthly data from Brazilian Live Birth Information System and used two outcome definitions: 1) rate of congenital malformation of the brain and eye (likely to be affected by Zika and its complications) 2) rate of congenital malformation not related to the brain or eye unlikely to be causally affected by Zika. The period between maternal infection with Zika and diagnosis of congenital abnormality attributable to the infection is around six months. We therefore used September 2015 as the interruption point in the time series, six months following March 2015 when cases of Zika started to increase. For the purposes of this analysis, we considered the period from January 2010 to September 2015 to be "pre-Zika event," and the period from just after September 2015 to December 2017 to be "post-Zika event." We found that immediately after the interruption point, there was a great increase in the notification rate of congenital anomalies of 14.9/10,000 live births in the brain and eye group and of 5.2/10,000 live births in the group not related with brain or eye malformations. This increase in reporting was in all regions of the country (except in the South) and especially in the Northeast. In the period "post-Zika event", unlike the brain and eye group which showed a monthly decrease, the group without brain or eye malformations showed a slow but significant increase (relative to the pre-Zika trend) of 0.2/10,000 live births. These findings suggest an overall improvement in the registration of birth malformations, including malformations that were not attributed to Zika, during and after the Zika epidemic.

Indexed as

BrainBrazilCongenital AbnormalitiesData CollectionEpidemicsEye AbnormalitiesFemaleHumansInterrupted Time Series AnalysisPregnancyPregnancy Complications, InfectiousRegistriesZika VirusZika Virus Infection

Identifiers

PMID31545803
PMCPMC6776346

What OpenQuestion holds

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LicenceCC BY
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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.