Evidence map›Paper›PMID 35343768›Full record

Trial reportMicrobiology spectrum2022

Distinct Diet-Microbiota-Metabolism Interactions in Overweight and Obese Pregnant Women: a Metagenomics Approach.

Mrunalini Lotankar, Kati Mokkala, Noora Houttu, Ella Koivuniemi, Nikolaj Sørensen, Henrik Bjørn Nielsen, Eveliina Munukka, Leo Lahti, Kirsi Laitinen

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Microbiology spectrum, 2022. 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
1.2field-weighted citation impact, top 22% 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, 12 citations in OpenAlex.

  1. Article
  2. 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

9 authors at 2 institutions in 2 countries.

Mrunalini LotankarInstitute of Biomedicine, Research Centre for Integrative Physiology and Pharmacology, University of Turkugrid.1374.1, Turku, Finland.
Kati MokkalaInstitute of Biomedicine, Research Centre for Integrative Physiology and Pharmacology, University of Turkugrid.1374.1, Turku, Finland.
Noora HouttuInstitute of Biomedicine, Research Centre for Integrative Physiology and Pharmacology, University of Turkugrid.1374.1, Turku, Finland.
Ella KoivuniemiInstitute of Biomedicine, Research Centre for Integrative Physiology and Pharmacology, University of Turkugrid.1374.1, Turku, Finland.
Nikolaj SørensenClinical Microbiomics, Copenhagen, Denmark.
Henrik Bjørn NielsenClinical Microbiomics, Copenhagen, Denmark.
Eveliina MunukkaMedical Faculty, University of Turkugrid.1374.1, Turku, Finland.
Leo LahtiDepartment of Computing, Faculty of Technology, University of Turkugrid.1374.1, Turku, Finland.ORCID 0000-0001-5537-637X
Kirsi LaitinenInstitute of Biomedicine, Research Centre for Integrative Physiology and Pharmacology, University of Turkugrid.1374.1, Turku, Finland.ORCID 0000-0001-5245-8118
University of Turku · FIClinical Microbiomics (Denmark) · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diet and gut microbiota are known to modulate metabolic health. Our aim was to apply a metagenomics approach to investigate whether the diet-gut microbiota-metabolism and inflammation relationships differ in pregnant overweight and obese women. This cross-sectional study was conducted in overweight (

Indexed as

MicrobiotaOverweightCross-Sectional StudiesDietFecesFemaleHumansInflammationMetagenomicsObesityPregnancyPregnant Peoplediet qualitymetabolismmetagenomicmicrobiota diversityobeseobesityoverweight

Identifiers

PMID35343768
PMCPMC9045358
OpenAlexW4220946976

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.