Evidence map›Paper›PMID 32566487›Full record

ArticleAnnals of global health2020

Rio Birth Cohort Study on Environmental Exposure and Childhood Development - PIPA Project.

Carmen Ildes R Fróes Asmus, Arnaldo Prata Barbosa, Armando Meyer, Nataly Damasceno, Ana Cristina Simões Rosa, Roberto Medronho, Antônio Jose Ledo A da Cunha, Josino Costa Moreira, Thatiana V R de B Fernandes, Marlos Martins and 2 more

Open access · goldAbstract read
In one paragraph

Article in Annals of global health, 2020. 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
1.2field-weighted citation impact, top 23% 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, 16 citations in OpenAlex.

  1. Review
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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 3 countries.

Carmen Ildes R Fróes AsmusFederal University of Rio de Janeiro, School of Medicine, Rio de Janeiro, BR.
Arnaldo Prata BarbosaFederal University of Rio de Janeiro, School of Medicine, Rio de Janeiro, BR.
Armando MeyerFederal University of Rio de Janeiro, Public Health Institute, Rio de Janeiro, BR.
Nataly DamascenoFederal University of Rio de Janeiro, Public Health Institute, Rio de Janeiro, BR.
Ana Cristina Simões RosaOswaldo Cruz Foundation, National School of Public Health, Rio de Janeiro, BR.
Roberto MedronhoFederal University of Rio de Janeiro, School of Medicine, Rio de Janeiro, BR.
Antônio Jose Ledo A da CunhaFederal University of Rio de Janeiro, School of Medicine, Rio de Janeiro, BR.
Josino Costa MoreiraOswaldo Cruz Foundation, National School of Public Health, Rio de Janeiro, BR.
Thatiana V R de B FernandesFederal University of Rio de Janeiro, Public Health Institute, Rio de Janeiro, BR.
Marlos MartinsFederal University of Rio de Janeiro, School of Medicine, Rio de Janeiro, BR.
Ronir Raggio LuizFederal University of Rio de Janeiro, Public Health Institute, Rio de Janeiro, BR.
Volney de Magalhães CâmaraFederal University of Rio de Janeiro, Public Health Institute, Rio de Janeiro, BR.
Universidade Federal do Rio de Janeiro · BRFundação Oswaldo Cruz · BRRio de Janeiro Federal Institute of Education, Science and Technology · BRPublic Health Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/Objective: As a developing country, Brazil presents a wide range of environmental risks that can constitute hazards to child health. The country also presents different socio-economic-cultural conditions that could be responsible for determining different vulnerability and susceptibility levels for the population, which can potentiate the effects of the environmental pollutants. The Rio Birth Cohort Study (PIPA project) is a prospective maternal-infant health study, hosted in the city of Rio de Janeiro (Southeastern Brazil), designed to investigate separate and combined effects of environmental chemical pollutants, as well as the interactions between these exposures and sociocultural environment and epigenetic patterns. This paper presents the learned lessons and strategies to address the shortcomings detected from this pilot study. Methods: The study population will be all children born at the Federal University of Rio de Janeiro Maternity Hospital from July 1st, 2020 to June 30th, 2021. The estimated population is of 2,500 children. The study will collect social, demographic, and health information from pregnant women and their children up to four years of age. Biological samples from both mothers and newborns will be collected to assess metal, pesticide and plasticizer exposure. All newborns will have their landmarks of physical, neurological, psychological, and cognitive development recorded at specific ages. Findings: A pilot study was carried out between September 2017 and August 2018, totaling 142 enrolled pregnant women, leading to 135 (95%) births and the collection of umbilical cord (126-93%,) and mother (139-98%) blood samples, as well as both mother (142-100%) and newborn (54-40%) urine samples and newborn meconium samples (117-86.7%). Conclusions: The study proposes a comprehensive assessment of pre- and postnatal exposure to environmental chemicals at multiple time points in a population living in a highly urbanized developing country. As far as we know, this is the only birth cohort in Brazil specifically designed for this purpose.

Indexed as

Child DevelopmentAdolescentAdultArsenicBrazilCadmiumChild, PreschoolCohort StudiesEnvironmental ExposureEnvironmental PollutantsEpigenesis, GeneticExposure to ViolenceFemaleFetal BloodHumansInfantArsenicCadmiumEnvironmental PollutantsLeadMercuryMetalsPesticidesPlasticizers

Identifiers

PMID32566487
PMCPMC7292139
OpenAlexW3034252744

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.