Evidence map›Paper›PMID 32933964›Full record

ArticleBMJ open2020

Microbiome Understanding in Maternity Study (MUMS), an Australian prospective longitudinal cohort study of maternal and infant microbiota: study protocol.

Daniella Susic, Gregory Davis, Anthony J O' Sullivan, Emily McGovern, Katie Harris, Lynne M Roberts, Maria E Craig, George Mangos, Georgina L Hold, Emad M El-Omar and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Antenatal diet quality and perinatal depression: the Microbiome Understanding in Maternity Study (MUMS) cohort.Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Gynecology Meets Big Data in the Disruptive Innovation Medical Era: State-of-Art and Future Prospects.International journal of environmental research and public health · 2021
    Review
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

11 authors at 3 institutions in 1 country.

Daniella SusicSchool of Women's and Children's Health, University of New South Wales Faculty of Medicine, Sydney, New South Wales, Australia d.susic@unsw.edu.au.ORCID 0000-0002-5607-5154
Gregory DavisSchool of Women's and Children's Health, University of New South Wales Faculty of Medicine, Sydney, New South Wales, Australia.ORCID 0000-0003-1856-3058
Anthony J O' SullivanSt George and Sutherland Clinical School, University of New South Wales Faculty of Medicine, Sydney, New South Wales, Australia.ORCID 0000-0002-2244-330X
Emily McGovernMicrobiome Research Centre, University of New South Wales Faculty of Medicine, Sydney, New South Wales, Australia.ORCID 0000-0002-1865-7727
Katie HarrisThe George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia.ORCID 0000-0003-2444-2869
Lynne M RobertsSchool of Women's and Children's Health, University of New South Wales Faculty of Medicine, Sydney, New South Wales, Australia.ORCID 0000-0003-2339-3761
Maria E CraigSchool of Women's and Children's Health, University of New South Wales Faculty of Medicine, Sydney, New South Wales, Australia.ORCID 0000-0001-6004-576X
George MangosSt George and Sutherland Clinical School, University of New South Wales Faculty of Medicine, Sydney, New South Wales, Australia.ORCID 0000-0001-5700-5417
Georgina L HoldMicrobiome Research Centre, University of New South Wales Faculty of Medicine, Sydney, New South Wales, Australia.ORCID 0000-0001-7573-3397
Emad M El-OmarMicrobiome Research Centre, University of New South Wales Faculty of Medicine, Sydney, New South Wales, Australia.ORCID 0000-0002-0011-3924
Amanda HenrySchool of Women's and Children's Health, University of New South Wales Faculty of Medicine, Sydney, New South Wales, Australia.ORCID 0000-0002-7351-8922
Sutherland Hospital · AUUNSW Sydney · AUThe University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPregnancy induces significant physiological and cardiometabolic changes, and is associated with alterations in the maternal microbiota. Increasing rates of prepregnancy obesity, metabolic abnormalities and reduced physical activity, all impact negatively on the microbiota causing an imbalance between the commensal microorganisms (termed dysbiosis), which may drive complications, such as gestational diabetes or hypertensive disorders. Considerable work is needed to define the inter-relationships between the microbiome, nutrition, physical activity and pregnancy outcomes. The role of the microbiota during pregnancy remains unclear. The aim of the study is to define microbiota signatures longitudinally throughout pregnancy and the first year post birth, and to identify key clinical and environmental variables that shape the female microbiota profile during and following pregnancy. METHODS AND ANALYSIS: The Microbiome Understanding in Maternity Study (MUMS) is an Australian prospective longitudinal cohort study involving 100 mother-infant pairs. Women are enrolled in their first trimester and followed longitudinally. Assessment occurs at <13+0, 20+0-24+6 and 32+0-36+6 weeks gestation, birth and 6 weeks, 6 months and 12 months postpartum. At each assessment, self-collected oral, vaginal and faecal samples are collected with an additional postpartum skin swab and breastmilk sample. Each infant will have oral, faecal and skin swab samples collected. Measurements include anthropometrics, body composition, blood pressure, serum hormonal and metabolic parameters and vaginal pH. Dietary intake, physical activity and psychological state will be assessed using validated self-report questionnaires, and pregnancy and infant outcomes recorded. Parametric and non-parametric hypothesis tests will be used to test the association between high-risk and low-risk pregnancies and their outcomes. ETHICS AND DISSEMINATION: The study received the following approval: South Eastern Sydney Local Health District Research Ethics Committee (17/293 (HREC/17/POWH/605). Results will be made available to the participants of MUMS, their families and the funding bodies; in the form of a summary document. Results for the greater maternity care community and other researchers will be disseminated through conferences, local, national and international presentations and peer-reviewed publications. TRIAL REGISTRATION NUMBER: ACTRN12618000471280 (prospectively registered).

Indexed as

Maternal Health ServicesMicrobiotaAustraliaCohort StudiesFemaleHumansInfantLongitudinal StudiesPregnancyProspective Studiesmaternal medicinemicrobiologyobstetricspaediatrics

Identifiers

PMID32933964
PMCPMC7493111
OpenAlexW3087448208

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.