Evidence map›Paper›PMID 31048433›Full record

ArticleBMJ open2019

Gestational route to healthy birth (GaRBH): protocol for an Indian prospective cohort study.

Vipin Gupta, Ruchi Saxena, Gagandeep Kaur Walia, Tripti Agarwal, Harsh Vats, Warwick Dunn, Caroline Relton, Ulla Sovio, Aris Papageorghiou, George Davey Smith and 2 more

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

1 citing paper in PubMed, 42 citations in OpenAlex.

  1. 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 at 8 institutions in 2 countries.

Vipin Gupta *Department of Anthropology, University of Delhi, Delhi, India.
Ruchi Saxena *Department of Obstetrics and Gynaecology, Sardar Patel Medical College, Bikaner, Rajasthan, India.
Gagandeep Kaur Walia *Public Health Foundation of India, New Delhi, India.
Tripti AgarwalPublic Health Foundation of India, New Delhi, India.
Harsh VatsDepartment of Anthropology, University of Delhi, Delhi, India.
Warwick DunnSchool of Biosciences, Phenome Centre Birmingham and Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK.
Caroline ReltonMRC Integrative Epidemiology Unit and Bristol Medical School, University of Bristol, Bristol, UK.
Ulla SovioObstetrics and Gyneacology, University of Cambridge, Cambridge, UK.
Aris PapageorghiouNuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, United Kingdom.
George Davey SmithMRC Integrative Epidemiology Unit and Bristol Medical School, University of Bristol, Bristol, UK.
Rajesh KhadgawatAll India Institute of Medical Sciences, New Delhi, India.
Mohinder Pal SachdevaDepartment of Anthropology, University of Delhi, Delhi, India.
University of Delhi · INPublic Health Foundation of India · INUniversity of Bristol · GBAll India Institute of Medical Sciences · INSardar Patel Medical College · INUniversity of Birmingham · GBUniversity of Cambridge · GBUniversity of Oxford · GB

Funding

DBT-Wellcome Trust India Alliance IA/CPHI/16/1/502623Medical Research Council MC_UU_00011/5Medical Research Council MC_UU_12013/2Medical Research Council MR/M009157/1
6 · The paper itself

Abstract

introductionPregnancy is characterised by a high rate of metabolic shifts from early to late phases of gestation in order to meet the raised physiological and metabolic needs. This change in levels of metabolites is influenced by gestational weight gain (GWG), which is an important characteristic of healthy pregnancy. Inadequate/excessive GWG has short-term and long-term implications on maternal and child health. Exploration of gestational metabolism is required for understanding the quantitative changes in metabolite levels during the course of pregnancy. Therefore, our aim is to study trimester-specific variation in levels of metabolites in relation to GWG and its influence on fetal growth and newborn anthropometric traits at birth. METHODS AND ANALYSIS: A prospective longitudinal study is planned (start date: February 2018; end date: March 2023) on pregnant women that are being recruited in the first trimester and followed in subsequent trimesters and at the time of delivery (total 3 follow-ups). The study is being conducted in a hospital located in Bikaner district (66% rural population), Rajasthan, India. The estimated sample size is of 1000 mother-offspring pairs. Information on gynaecological and obstetric history, socioeconomic position, diet, physical activity, tobacco and alcohol consumption, depression, anthropometric measurements and blood samples is being collected for metabolic assays in each trimester using standardised methods. Mixed effects regression models will be used to assess the role of gestational weight in influencing metabolite levels in each trimester. The association of maternal levels of metabolites with fetal growth, offspring's weight and body composition at birth will be investigated using regression modelling. ETHICS AND DISSEMINATION: The study has been approved by the ethics committees of the Department of Anthropology, University of Delhi and Sardar Patel Medical College, Rajasthan. We are taking written informed consent after discussing the various aspects of the study with the participants in the local language.

Indexed as

AdultBirth WeightFemaleGestational Weight GainHumansMetabolomePregnancyPregnancy TrimestersProspective StudiesRegression AnalysisYoung Adultbirth cohortepidemiology and developmental originfoetal growthindiametabolomics in pregnancy

Identifiers

PMID31048433
PMCPMC6501957
OpenAlexW2942756813

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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.