Evidence map›Paper›PMID 39415051›Full record

ReviewJournal of human hypertension2024

Arterial stiffness as a novel tool for the early prediction of preeclampsia: a perspective.

Mekayla Forrest, Maria Matossian, Brenda Valdes Sustaita, Helena Papacostas Quintanilla, Bart Spronck, James Sharman, Stella S Daskalopoulou

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of human hypertension, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Mekayla ForrestVascular Health Unit, Research Institute of McGill University Health Centre (RI-MUHC), Montreal, QC, Canada.ORCID 0009-0004-6376-2851
Maria MatossianVascular Health Unit, Research Institute of McGill University Health Centre (RI-MUHC), Montreal, QC, Canada.
Brenda Valdes SustaitaVascular Health Unit, Research Institute of McGill University Health Centre (RI-MUHC), Montreal, QC, Canada.
Helena Papacostas QuintanillaVascular Health Unit, Research Institute of McGill University Health Centre (RI-MUHC), Montreal, QC, Canada.
Bart SpronckDepartment of Biomedical Engineering, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, Netherlands.ORCID 0000-0003-1076-1922
James SharmanMenzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia.ORCID 0000-0003-2792-0811
Stella S DaskalopoulouVascular Health Unit, Research Institute of McGill University Health Centre (RI-MUHC), Montreal, QC, Canada. stella.daskalopoulou@mcgill.ca.ORCID 0000-0003-4774-2549

Funding

Fonds de Recherche du Québec - Santé (Fonds de la recherche en sante du Quebec) Doctoral Training Award
6 · The paper itself

Abstract

Preeclampsia is a leading complication of pregnancy that lacks accurate tools for its early prediction. Improved risk stratification tools early in pregnancy would enable more efficient allocation of limited healthcare resources while ensuring that pregnant women destined to develop preeclampsia receive appropriate care. This brief perspective highlights the current state of first-trimester preeclampsia prediction. We focus on arterial stiffness, an important hemodynamic indicator of vascular health that has shown promising results for improved early prediction of preeclampsia by our and independent research groups. Further, we outline the promise, applicability, and feasibility of integrating arterial stiffness assessments into clinical practice.

Indexed as

Pre-EclampsiaVascular StiffnessEarly DiagnosisFemaleHumansPredictive Value of TestsPregnancyPregnancy Trimester, FirstPrognosisRisk AssessmentRisk Factors

Identifiers

What OpenQuestion holds

Textmetadata
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.