Evidence map›Paper›PMID 33376166›Full record

ArticleBMJ open2020

Metabolomics for prediction of hypertension in pregnancy: a systematic review and meta-analysis protocol.

Jussara Mayrink, Debora Farias Batista Leite, Maria Laura Costa, Jose Guilherme Cecatti

Abstract 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 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

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, 1 synthesis or guideline pooled it.

  1. Pooled it
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

4 authors.

Jussara MayrinkDepartment of Gynecology and Obstetrics, State University of Campinas, Campinas, Brazil.
Debora Farias Batista LeiteDepartment of Gynecology and Obstetrics, State University of Campinas, Campinas, Brazil.ORCID 0000-0001-8839-3934
Maria Laura CostaDepartment of Gynecology and Obstetrics, State University of Campinas, Campinas, Brazil.
Jose Guilherme CecattiDepartment of Gynecology and Obstetrics, State University of Campinas, Campinas, Brazil cecatti@unicamp.br.ORCID 0000-0003-1285-8445

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHypertension is a very important cause of maternal morbidity and mortality worldwide, despite efforts on prevention. The lack of a tool to provide effective and early prediction of hypertension for a high-risk group may contribute to improving maternal and fetal outcomes. Metabolomics has figured out as a promised technology to contribute to the improvement of hypertension in pregnancy prediction. METHODS AND ANALYSIS: Our primary outcome is hypertensive disorders of pregnancy. A detailed systematic literature search will be performed in electronic databases PubMed, EMBASE, Scopus, Web of Science, Latin America and Caribbean Health Sciences Literature, Scientific Electronic Library Online, Health Technology Assessment and Database of Abstracts of Reviews of Effects using controlled terms 'pre-eclampsia', 'hypertensive disorders', 'metabolomics' and 'prediction' (and their variations). Studies from the latest 20 years will be included, except case reports, reviews, cross-sectional studies, letter to editors, expert opinions, commentaries papers or non-human research. If possible, we will perform a meta-analysis. Two peer-reviewers will independently perform the search and in cases of discordance, a third reviewer will be consulted. ETHICS AND DISSEMINATION: As a systematic review, ethics approval is not required. The results of this review will present the current use and performance of metabolomics for predicting gestational hypertension. Such data could potentially guide future studies and interventions to improve existing prediction models. PROSPERO REGISTRATION NUMBER: CRD42018097409.

Indexed as

Hypertension, Pregnancy-InducedCaribbean RegionCross-Sectional StudiesFemaleHumansLatin AmericaMeta-Analysis as TopicMetabolomicsPregnancyResearch DesignSystematic Reviews as Topicepidemiologyhypertensionprenatal diagnosis

Identifiers

PMID33376166
PMCPMC7778786

What OpenQuestion holds

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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.