Evidence map›Paper›PMID 31777191›Full record

ArticleMaternal & child nutrition2020

A maternal "mixed, high sugar" dietary pattern is associated with fetal growth.

Stephanie V Wrottesley, Alessandra Prioreschi, Sarah H Kehoe, Kate A Ward, Shane A Norris

Open access · hybridAbstract read
In one paragraph

Article in Maternal & child nutrition, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.4field-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

15 citing papers in PubMed, 20 citations in OpenAlex.

  1. Trial
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  7. Development, Implementation, and Process Evaluation ofGlobal implementation research and applications · 2023
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  15. Pilot implementation ofSAGE open medicine · 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

5 authors at 2 institutions in 2 countries.

Stephanie V WrottesleySAMRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.ORCID 0000-0002-5419-2920
Alessandra PrioreschiSAMRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Sarah H KehoeMRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK.ORCID 0000-0003-2584-7999
Kate A WardMRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK.
Shane A NorrisSAMRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
South African Medical Research Council · ZASouthampton General Hospital · GB

Funding

Medical Research Council MC_UP_A620_1016Medical Research Council MC_UU_12011/3
6 · The paper itself

Abstract

This study examined associations between a maternal "mixed, high sugar" dietary pattern during pregnancy and ultrasound-determined fetal growth in 495 urban African women and explored whether these associations were independent of maternal baseline body mass index (BMI) and gestational weight gain (GWG). Linear mixed effects modelling (LMM) was used to test the associations between maternal mixed, high sugar dietary pattern score, baseline BMI (kg/m

Indexed as

AdultAfricaBody Mass IndexBody Weights and MeasuresDietDietary SugarsFemaleFetal DevelopmentHumansLongitudinal StudiesMaleMaternal Nutritional Physiological PhenomenaPregnancySex FactorsUltrasonography, PrenatalUrban PopulationDietary Sugarsdietary patternsfetal growthobesitypreconception nutritionpregnancyweight gain

Identifiers

PMID31777191
PMCPMC7083459
OpenAlexW2989895034

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.