Evidence map›Paper›PMID 32659951›Full record

ReviewInternational journal of molecular sciences2020

Metabolomic Insight into Polycystic Ovary Syndrome-An Overview.

Anna Rajska, Magdalena Buszewska-Forajta, Dominik Rachoń, Michał Jan Markuszewski

Registry-linked trialAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07687264 (METabolic FLEXibility in PMOS), which is not on this map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing 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.

NCT07687264 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

METabolic FLEXibility in PMOS

TypeinterventionalSponsorUniversity of ZurichRan2026 to 2029Enrolled40ConditionsPCOS (Polycystic Ovary Syndrome), Insulinemic Response, Overweight (BMI > 25)ArmsOral Clucose Tolerance Test (oGTT)
3 · Its place in the literature

Who cites it

55 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Polycystic ovary syndrome as a metabolic disease.Nature reviews. Endocrinology · 2025
    Review
  10. Polycystic Ovarian Syndrome: A Review of Multi-omics Analyses.Reproductive sciences (Thousand Oaks, Calif.) · 2025
    Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
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.

Anna RajskaDepartment of Biopharmaceutics and Pharmacodynamics, Medical University of Gdańsk, Hallera 107, 80-416 Gdańsk, Poland.
Magdalena Buszewska-ForajtaDepartment of Biopharmaceutics and Pharmacodynamics, Medical University of Gdańsk, Hallera 107, 80-416 Gdańsk, Poland.
Dominik RachońDepartment of Clinical and Experimental Endocrinology, Medical University of Gdańsk, Dębinki 7, 80-211 Gdańsk, Poland.ORCID 0000-0002-8300-7026
Michał Jan MarkuszewskiDepartment of Biopharmaceutics and Pharmacodynamics, Medical University of Gdańsk, Hallera 107, 80-416 Gdańsk, Poland.ORCID 0000-0003-1166-4817

Funding

Narodowe Centrum Nauki 2018/31/N/NZ7/03781
6 · The paper itself

Abstract

Searching for the mechanisms of the polycystic ovary syndrome (PCOS) pathophysiology has become a crucial aspect of research performed in the last decades. However, the pathogenesis of this complex and heterogeneous endocrinopathy remains unknown. Thus, there is a need to investigate the metabolic pathways, which could be involved in the pathophysiology of PCOS and to find the metabolic markers of this disorder. The application of metabolomics gives a promising insight into the research on PCOS. It is a valuable and rapidly expanding tool, enabling the discovery of novel metabolites, which may be the potential biomarkers of several metabolic and endocrine disorders. The utilization of this approach could also improve the process of diagnosis and therefore, make treatment more effective. This review article aims to summarize actual and meaningful metabolomic studies in PCOS and point to the potential biomarkers detected in serum, urine, and follicular fluid of the affected women.

Indexed as

BiomarkersFemaleHumansMetabolic Networks and PathwaysMetabolomicsPolycystic Ovary SyndromeBiomarkersbiomarkersmass spectrometrymetabolitesmetabolomicspolycystic ovary syndrome (PCOS)

Identifiers

PMID32659951
PMCPMC7402307

What OpenQuestion holds

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Registered trials

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.