Evidence map›Paper›PMID 38253981›Full record

ArticleReproductive sciences (Thousand Oaks, Calif.)2024

Novel Associations Between Mid-Pregnancy Cardiovascular Biomarkers and Preeclampsia: An Explorative Nested Case-Control Study.

Paliz Nordlöf Callbo, Katja Junus, Katja Gabrysch, Lina Bergman, Inger Sundström Poromaa, Susanne Lager, Anna-Karin Wikström

Open access · hybridAbstract read
In one paragraph

Article in Reproductive sciences (Thousand Oaks, Calif.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.9field-weighted citation impact, top 10% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

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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

7 authors at 1 institution in 2 countries.

Paliz Nordlöf CallboDepartment of Women's and Children's Health, Uppsala University, Akademiska sjukhuset, SE 751 85, Uppsala, Sweden. Paliz.Nordlof_Callbo@kbh.uu.se.ORCID 0000-0002-4308-3745
Katja JunusDepartment of Women's and Children's Health, Uppsala University, Akademiska sjukhuset, SE 751 85, Uppsala, Sweden.
Katja GabryschUppsala Clinical Research Centre, Uppsala, Sweden.
Lina BergmanDepartment of Women's and Children's Health, Uppsala University, Akademiska sjukhuset, SE 751 85, Uppsala, Sweden.
Inger Sundström PoromaaDepartment of Women's and Children's Health, Uppsala University, Akademiska sjukhuset, SE 751 85, Uppsala, Sweden.
Susanne LagerDepartment of Women's and Children's Health, Uppsala University, Akademiska sjukhuset, SE 751 85, Uppsala, Sweden.
Anna-Karin WikströmDepartment of Women's and Children's Health, Uppsala University, Akademiska sjukhuset, SE 751 85, Uppsala, Sweden.
Uppsala University Hospital · SE

Funding

Region Uppsala LUL-915281Svenska Sällskapet för Medicinsk Forskning P180029Swedish clinical research agreement ALFGBG942685Vetenskapsrådet 2020-01026Vetenskapsrådet 2020-01640
6 · The paper itself

Abstract

Prediction of women at high risk of preeclampsia is important for prevention and increased surveillance of the disease. Current prediction models need improvement, particularly with regard to late-onset preeclampsia. Preeclampsia shares pathophysiological entities with cardiovascular disease; thus, cardiovascular biomarkers may contribute to improving prediction models. In this nested case-control study, we explored the predictive importance of mid-pregnancy cardiovascular biomarkers for subsequent preeclampsia. We included healthy women with singleton pregnancies who had donated blood in mid-pregnancy (~ 18 weeks' gestation). Cases were women with subsequent preeclampsia (n = 296, 10% of whom had early-onset preeclampsia [< 34 weeks]). Controls were women who had healthy pregnancies (n = 333). We collected data on maternal, pregnancy, and infant characteristics from medical records. We used the Olink cardiovascular II panel immunoassay to measure 92 biomarkers in the mid-pregnancy plasma samples. The Boruta algorithm was used to determine the predictive importance of the investigated biomarkers and first-trimester pregnancy characteristics for the development of preeclampsia. The following biomarkers had confirmed associations with early-onset preeclampsia (in descending order of importance): placental growth factor (PlGF), matrix metalloproteinase (MMP-12), lectin-like oxidized LDL receptor 1, carcinoembryonic antigen-related cell adhesion molecule 8, serine protease 27, pro-interleukin-16, and poly (ADP-ribose) polymerase 1. The biomarkers that were associated with late-onset preeclampsia were BNP, MMP-12, alpha-L-iduronidase (IDUA), PlGF, low-affinity immunoglobulin gamma Fc region receptor II-b, and T cell surface glycoprotein. Our results suggest that MMP-12 is a promising novel preeclampsia biomarker. Moreover, BNP and IDUA may be of value in enhancing prediction of late-onset preeclampsia.

Indexed as

BiomarkersPre-EclampsiaAdultCase-Control StudiesFemaleHumansPregnancyPregnancy Trimester, SecondBiomarkersAlpha-L-iduronidaseBoruta algorithmMatrix metalloproteinase-12Natriuretic peptide BPredictive biomarkersPreeclampsia

Identifiers

PMID38253981
PMCPMC11090924
OpenAlexW4391092002

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.