Evidence map›Paper›PMID 32024929›Full record

ArticleScientific reports2020

Poor maternal nutritional status before and during pregnancy is associated with suspected child developmental delay in 2-year old Brazilian children.

Paulo A R Neves, Giovanna Gatica-Domínguez, Iná S Santos, Andréa D Bertoldi, Marlos Domingues, Joseph Murray, Mariângela F Silveira

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.2field-weighted citation impact, top 6% 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

12 citing papers in PubMed, 28 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

7 authors at 1 institution in 1 country.

Paulo A R NevesPostgraduate Program in Epidemiology, School of Medicine, Universidade Federal de Pelotas. Rua Marechal Deodoro, 1160, Centro, 96020-220, Pelotas, Brazil. paugustorn@gmail.com.ORCID http://orcid.org/0000-0002-1200-4725
Giovanna Gatica-DomínguezPostgraduate Program in Epidemiology, School of Medicine, Universidade Federal de Pelotas. Rua Marechal Deodoro, 1160, Centro, 96020-220, Pelotas, Brazil.
Iná S SantosPostgraduate Program in Epidemiology, School of Medicine, Universidade Federal de Pelotas. Rua Marechal Deodoro, 1160, Centro, 96020-220, Pelotas, Brazil.
Andréa D BertoldiPostgraduate Program in Epidemiology, School of Medicine, Universidade Federal de Pelotas. Rua Marechal Deodoro, 1160, Centro, 96020-220, Pelotas, Brazil.
Marlos DominguesPostgraduate Program in Epidemiology, School of Medicine, Universidade Federal de Pelotas. Rua Marechal Deodoro, 1160, Centro, 96020-220, Pelotas, Brazil.
Joseph MurrayPostgraduate Program in Epidemiology, School of Medicine, Universidade Federal de Pelotas. Rua Marechal Deodoro, 1160, Centro, 96020-220, Pelotas, Brazil.
Mariângela F SilveiraPostgraduate Program in Epidemiology, School of Medicine, Universidade Federal de Pelotas. Rua Marechal Deodoro, 1160, Centro, 96020-220, Pelotas, Brazil.
Universidade Federal de Pelotas · BR

Funding

Wellcome Trust
6 · The paper itself

Abstract

Inadequate pre-pregnancy BMI and gestational weight gain (GWG) have been associated with sub-optimal child development. We used data from the 2015 Pelotas (Brazil) Birth Cohort Study. Maternal anthropometry was extracted from antenatal/hospital records. BMI (kg/m

Indexed as

AdultAnthropometryBody Mass IndexBrazilChildChild DevelopmentCohort StudiesDevelopmental DisabilitiesFemaleGestational Weight GainHumansLogistic ModelsMaleMaternal Nutritional Physiological PhenomenaNutritional StatusObesity

Identifiers

PMID32024929
PMCPMC7002477
OpenAlexW3005327319

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.