Evidence map›Paper›PMID 26826157›Full record

ArticleBMJ open2016

Chiba study of Mother and Children's Health (C-MACH): cohort study with omics analyses.

Kenichi Sakurai, Hidenobu Miyaso, Akifumi Eguchi, Yoshiharu Matsuno, Midori Yamamoto, Emiko Todaka, Hideoki Fukuoka, Akira Hata, Chisato Mori, Chiba study of Mother and Children's Health Group

Registry-linked trialAbstract readMulticenter Study
In one paragraph

Article in BMJ open, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05215080 (The Tolerance of Organic Formula Milk and Its Fecal Microbiome Characteristic in Infants), which is not on this map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
–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.

NCT05215080 nacompletednot on this mapstarted 2021, after this paper: background citation

The Tolerance of Organic Formula Milk and Its Fecal Microbiome Characteristic in Infants

TypeinterventionalSponsorHasanuddin UniversityRan2021 to 2022Enrolled50ConditionsFood Allergy in InfantsArmsOrganic Formula Milk
3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  13. Association ofNutrients · 2023
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  14. Hypertensive disorders of pregnancy: definition, management, and out-of-office blood pressure measurement.Hypertension research : official journal of the Japanese Society of Hypertension · 2022
    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

10 authors.

Kenichi SakuraiCenter for Preventive Medical Sciences, Chiba University, Chiba, Japan.
Hidenobu MiyasoCenter for Preventive Medical Sciences, Chiba University, Chiba, Japan.
Akifumi EguchiCenter for Preventive Medical Sciences, Chiba University, Chiba, Japan.
Yoshiharu MatsunoCenter for Preventive Medical Sciences, Chiba University, Chiba, Japan.
Midori YamamotoCenter for Preventive Medical Sciences, Chiba University, Chiba, Japan.
Emiko TodakaCenter for Preventive Medical Sciences, Chiba University, Chiba, Japan.
Hideoki FukuokaResearch Institute for Science and Engineering, Waseda University, Tokyo, Japan.
Akira HataDepartment of Public Health, Graduate School of Medicine, Chiba University, Chiba, Japan.
Chisato MoriCenter for Preventive Medical Sciences, Chiba University, Chiba, Japan Department of Bioenvironmental Medicine, Graduate School of Medicine, Chiba University, Chiba, Japan.
Chiba study of Mother and Children's Health Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeRecent epidemiological studies have shown that environmental factors during the fetal period to early childhood might affect the risk of non-communicable diseases in adulthood. This is referred to as the developmental origins of health and disease (DOHaD) concept. The Chiba study of Mother and Children's Health (C-MACH) is a birth cohort study based on the DOHaD hypothesis and involves multiomics analysis. This study aims to explore the effects of genetic and environmental factors--particularly the fetal environment and postbirth living environment--on children's health, and to identify potential biomarkers for these effects.

participantsThe C-MACH consists of three hospital-based cohorts. The study participants are pregnant women at <13 weeks gestation. Women who underwent an examination in one of the three hospitals received an explanation of the study. The participants consented to completing questionnaire surveys and the collection and storage of biological and house/environmental samples. Participants were provided unique study numbers. All of the data and biological specimens will be stored in the Chiba University Center for Preventive Medical Sciences and Chiba University Center for Preventive Medical Sciences BioBank, respectively. FINDINGS TO DATE: Consent to participate was obtained from 433 women. Of these women, 376 women completed questionnaires in the early gestational period. The mean age was 32.5 (4.4) years. The mean body mass index (BMI) was 21.1 (3.0) kg/m(2). Before pregnancy, 72.3% of the women had a BMI of 18.5-24.9 kg/m(2). During early pregnancy, 5.0% of the participants smoked. FUTURE PLANS: Primary outcomes are allergy, obesity, endocrine and metabolic disorders, and developmental disorders. Genome-level, metabolome-level, umbilical cord DNA methylation (epigenome), gut microbiota and environmental chemical exposure variables will be evaluated. We will analyse the relationships between the outcomes and analytical variables.

Indexed as

BiomarkersChild HealthChild, PreschoolDevelopmental DisabilitiesEnvironmental PollutantsEpigenesis, GeneticFemaleFetal BloodFollow-Up StudiesGastrointestinal MicrobiomeGene-Environment InteractionGenomicsHumansInfantInfant, NewbornJapanBiomarkersEnvironmental PollutantsPolychlorinated BiphenylsBirth cohortChildrenEnvironmental chemicalsPregnant women

Identifiers

PMID26826157
PMCPMC4735302

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Registered trials

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.