Evidence map›Paper›PMID 38892323›Full record

ReviewInternational journal of molecular sciences2024

First Trimester Placental Biomarkers for Pregnancy Outcomes.

Martina Cristodoro, Martina Messa, Giovanni Tossetta, Daniela Marzioni, Marinella Dell'Avanzo, Annalisa Inversetti, Nicoletta Di Simone

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Observational
  16. Article
  17. Review
  18. Preeclampsia and eclampsia: Enhanced detection and treatment for morbidity reduction.Best practice & research. Clinical anaesthesiology · 2024
    Review
  19. Editorial: Gestational diabetes: where are we and where are we going?Frontiers in clinical diabetes and healthcare · 2024
    Article
  20. Review
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.

Martina CristodoroDepartment of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20072 Milano, Italy.
Martina MessaDepartment of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20072 Milano, Italy.ORCID 0009-0007-9845-7744
Giovanni TossettaDepartment of Experimental and Clinical Medicine, Università Politecnica delle Marche, 60126 Ancona, Italy.ORCID 0000-0001-7003-1230
Daniela MarzioniDepartment of Experimental and Clinical Medicine, Università Politecnica delle Marche, 60126 Ancona, Italy.ORCID 0000-0002-2267-0270
Marinella Dell'AvanzoHumanitas San Pio X, Via Francesco Nava 31, 20159 Milan, Italy.
Annalisa InversettiDepartment of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20072 Milano, Italy.
Nicoletta Di SimoneDepartment of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20072 Milano, Italy.ORCID 0000-0003-1273-3335

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The placenta plays a key role in several adverse obstetrical outcomes, such as preeclampsia, intrauterine growth restriction and gestational diabetes mellitus. The early identification of at-risk pregnancies could significantly improve the management, therapy and prognosis of these pregnancies, especially if these at-risk pregnancies are identified in the first trimester. The aim of this review was to summarize the possible biomarkers that can be used to diagnose early placental dysfunction and, consequently, at-risk pregnancies. We divided the biomarkers into proteins and non-proteins. Among the protein biomarkers, some are already used in clinical practice, such as the sFLT1/PLGF ratio or PAPP-A; others are not yet validated, such as HTRA1, Gal-3 and CD93. In the literature, many studies analyzed the role of several protein biomarkers, but their results are contrasting. On the other hand, some non-protein biomarkers, such as miR-125b, miR-518b and miR-628-3p, seem to be linked to an increased risk of complicated pregnancy. Thus, a first trimester heterogeneous biomarkers panel containing protein and non-protein biomarkers may be more appropriate to identify and discriminate several complications that can affect pregnancies.

Indexed as

BiomarkersPlacentaPregnancy OutcomePregnancy Trimester, FirstDiabetes, GestationalFemaleHumansMicroRNAsPre-EclampsiaPregnancyPregnancy-Associated Plasma Protein-ABiomarkersMicroRNAsPregnancy-Associated Plasma Protein-Agestational diabetes mellitusintrauterine growth restrictionpreeclampsiapregnancy outcomes

Identifiers

PMID38892323
PMCPMC11172712

What OpenQuestion holds

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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.