Evidence map›Paper›PMID 37443659›Full record

ReviewDiagnostics (Basel, Switzerland)2023

New Insights into Genetics of Endometriosis-A Comprehensive Literature Review.

Diana Maria Chiorean, Melinda-Ildiko Mitranovici, Havva Serap Toru, Titiana Cornelia Cotoi, Alexandru Nicușor Tomuț, Sabin Gligore Turdean, Ovidiu Simion Cotoi

Open access · goldAbstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
9.6field-weighted citation impact, top 1% 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

18 citing papers in PubMed, 35 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Endometriosis MDC: role of the radiologist.Abdominal radiology (New York) · 2025
    Review
  6. Unraveling the Core of Endometriosis: The Impact of Endocrine Disruptors.International journal of molecular sciences · 2025
    Review
  7. Article
  8. Review
  9. Review
  10. Review
  11. Review
  12. Endometriosis: Future Biological Perspectives for Diagnosis and Treatment.International journal of molecular sciences · 2024
    Review
  13. Article
  14. Article
  15. Review
  16. Positive correlation betweenInternational journal of reproductive biomedicine · 2024
    Article
  17. Review
  18. 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

7 authors at 4 institutions in 2 countries.

Diana Maria ChioreanDepartment of Pathology, County Clinical Hospital of Targu Mures, 540072 Targu Mures, Romania.ORCID 0000-0002-7024-2916
Melinda-Ildiko MitranoviciDepartment of Obstetrics and Gynecology, Emergency County Hospital Hunedoara, 14 Victoriei Street, 331057 Hunedoara, Romania.ORCID 0000-0003-1596-6353
Havva Serap ToruDepartment of Pathology, Akdeniz University School of Medicine, Antalya Pinarbasi Konyaalti, 07070 Antalya, Turkey.ORCID 0000-0002-4438-0434
Titiana Cornelia CotoiDepartment of Pharmaceutical Technology, "George Emil Palade" University of Medicine, Pharmacy, Sciences and Technology, 540142 Targu Mures, Romania.
Alexandru Nicușor TomuțFaculty of Medicine, "George Emil Palade" University of Medicine, Pharmacy, Sciences and Technology, 540142 Targu Mures, Romania.ORCID 0009-0009-3734-5305
Sabin Gligore TurdeanDepartment of Pathology, County Clinical Hospital of Targu Mures, 540072 Targu Mures, Romania.ORCID 0000-0001-7085-4755
Ovidiu Simion CotoiDepartment of Pathology, County Clinical Hospital of Targu Mures, 540072 Targu Mures, Romania.
Universitatea de Medicină, Farmacie, Științe și Tehnologie „George Emil Palade” din Târgu Mureș · ROSpitalul Clinic Judetean de Urgenta Târgu Mureş · ROAkdeniz University · TRInstitutul de Cercetari Electrotehnice · RO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This comprehensive review explores the genetic contributions to endometriosis and their potential impact on improving diagnostic techniques. The review begins by defining endometriosis and discussing its prevalence, emphasizing the need for a deeper understanding of the genetic basis of the condition. It highlights recent genome-wide association studies (GWAS) that have identified specific genetic variants associated with endometriosis, shedding light on the molecular pathways and mechanisms involved. The review addresses genetic heterogeneity across different populations and ethnicities, emphasizing the importance of considering population-specific markers in diagnostic approaches. It explores the diagnostic implications of genetic insights, including the potential use of genetic markers for precise and early detection, as well as risk prediction. The review also delves into the integration of genetic information with clinical parameters and imaging findings, and the exploration of multi-omics approaches for a comprehensive understanding of endometriosis. It discusses recent studies on genetic and epigenetic biomarkers, their potential as diagnostic tools, and the need for validation in independent cohorts. The review highlights the impact of new genomic technologies, such as next-generation sequencing, in improving diagnostic accuracy and personalized management. It identifies the challenges and future directions in translating genetic findings into diagnostic tools and emphasizes the transformative potential of genetic insights in endometriosis diagnosis. This review provides a roadmap for future research and underscores the significance of genetic insights in improving diagnostic precision and personalized care for individuals with endometriosis.

Indexed as

diagnostic techniquesendometriosisgenetic heterogeneitygenetic markersgeneticsmolecular pathwaysmulti-omicspersonalized management

Identifiers

PMID37443659
PMCPMC10340419
OpenAlexW4383226739

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.