Evidence map›Paper›PMID 30916173›Full record

ReviewClinics (Sao Paulo, Brazil)2019

Metabolomics applied to maternal and perinatal health: a review of new frontiers with a translation potential.

Renato Teixeira Souza, Jussara Mayrink, Débora Farias Leite, Maria Laura Costa, Iracema Mattos Calderon, Edilberto Alves Rocha Filho, Janete Vettorazzi, Francisco Edson Feitosa, José Guilherme Cecatti, Preterm SAMBA Study Group

Open access · goldAbstract readReview
In one paragraph

Review in Clinics (Sao Paulo, Brazil), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
3.6field-weighted citation impact, top 7% 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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 35 citations in OpenAlex.

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  17. Capture and metabolomic analysis of the human endometrial epithelial organoid secretome.Proceedings of the National Academy of Sciences of the United States of America · 2021
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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 at 5 institutions in 1 country.

Renato Teixeira SouzaDepartamento de Ginecologia e Obstetricia, Faculdade de Ciencias Medicas, Universidade Estadual de Campinas, Campinas, SP, BR.
Jussara MayrinkDepartamento de Ginecologia e Obstetricia, Faculdade de Ciencias Medicas, Universidade Estadual de Campinas, Campinas, SP, BR.
Débora Farias LeiteDepartamento de Ginecologia e Obstetricia, Faculdade de Ciencias Medicas, Universidade Estadual de Campinas, Campinas, SP, BR.
Maria Laura CostaDepartamento de Ginecologia e Obstetricia, Faculdade de Ciencias Medicas, Universidade Estadual de Campinas, Campinas, SP, BR.
Iracema Mattos CalderonDepartamento de Ginecologia e Obstetricia, Faculdade de Medicina de Botucatu, Universidade Estadual de Sao Paulo (UNESP), Botucatu, SP, BR.
Edilberto Alves Rocha FilhoDepartamento Materno Infantil, Faculdade de Medicina, Universidade Federal de Pernambuco, Pernambuco, PE, BR.
Janete VettorazziDepartamento de Ginecologia e Obstetricia, Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Rio Grande do Sul, RS, BR.
Francisco Edson FeitosaDepartamento de Ginecologia e Obstetricia, Faculdade de Medicina, Universidade Federal do Ceara, Ceara, CE, BR.
José Guilherme CecattiDepartamento de Ginecologia e Obstetricia, Faculdade de Ciencias Medicas, Universidade Estadual de Campinas, Campinas, SP, BR.ORCID 0000-0003-1285-8445
Preterm SAMBA Study Group
Universidade Estadual de Campinas (UNICAMP) · BRUniversidade Estadual Paulista (Unesp) · BRUniversidade Federal de Pernambuco · BRUniversidade Federal do Ceará · BRUniversidade Federal do Rio Grande do Sul · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prediction or early diagnosis of maternal complications is challenging mostly because the main conditions, such as preeclampsia, preterm birth, fetal growth restriction, and gestational diabetes mellitus, are complex syndromes with multiple underlying mechanisms related to their occurrence. Limited advances in maternal and perinatal health in recent decades with respect to preventing these disorders have led to new approaches, and "omics" sciences have emerged as a potential field to be explored. Metabolomics is the study of a set of metabolites in a given sample and can represent the metabolic functioning of a cell, tissue or organism. Metabolomics has some advantages over genomics, transcriptomics, and proteomics, as metabolites are the final result of the interactions of genes, RNAs and proteins. Considering the recent "boom" in metabolomic studies and their importance in the research agenda, we here review the topic, explaining the rationale and theory of the metabolomic approach in different areas of maternal and perinatal health research for clinical practitioners. We also demonstrate the main exploratory studies of these maternal complications, commenting on their promising findings. The potential translational application of metabolomic studies, especially for the identification of predictive biomarkers, is supported by the current findings, although they require external validation in larger datasets and with alternative methodologies.

Indexed as

Maternal HealthPerinatal CareBiomarkersFemaleHumansInfant, NewbornMetabolomicsPregnancyPregnancy ComplicationsPregnancy Trimester, ThirdPremature BirthPrognosisTranslational Research, BiomedicalBiomarkers

Identifiers

PMID30916173
PMCPMC6438130
OpenAlexW2921239822

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.