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Are There Non-Invasive Biomarker(s) That Would Facilitate the Detection of Ovarian Torsion? A Systematic Review and Meta-Analysis

Naylor, Meg; Doherty, Grace; Draper, Hannah; Fletcher, Daniel M; Rigby, Alan; Adedipe, Tolu; Guinn, Barbara Ann

Authors

Meg Naylor

Grace Doherty

Hannah Draper

Daniel M Fletcher

Tolu Adedipe



Abstract

Ovarian torsion (OT) is a rare gynaecological emergency that requires a prompt diagnosis for optimal patient management. To determine whether there were any biomarkers suitable for the non-invasive detection of OT, two independent reviewers performed systematic searches of five literature databases (PubMed, Medline, Scopus, Cochrane, and CINAHL) from inception until October 1st, 2023. Following the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines, the search included patients with OT that had quantified biomarker expression with no age, geographical location, publication date, language, or setting restrictions. Articles were excluded if OT was found incidentally, was based on qualitative analyses, or were not primary research articles. Full texts of 23 selected articles were assessed for risk of bias and quality assurance using a modified Newcastle–Ottawa Scale (NOS) for clinical studies and SYRCLE’s risk of bias tool for the assessment of pre-clinical (animal) studies. A total of 11 articles described studies on animals and all described serum biomarkers comparing results between OT versus a sham operation, a control group, or readings before and after OT. Ischaemia-modified albumhumin (IMA), serum D-dimer (s-DD), heat shock protein-70 (hsp-70), Pentraxin-3 (PTX3), and c-reactive protein (CRP) each showed the most promise, with p-values for the difference between OT and control groups achieving ≤ 0.001. In studies of humans, the biomarkers ranged from 16.4 to 92.3% sensitivity and 77–100% specificity. The most promising biomarkers for the early prediction of OT in patients included s-DD, interleukin-6 (IL-6), IMA, and tumour necrosis factor-alpha (TNF-α). Signal peptide, CUB domain, and EGF-like domain-containing 1 (SCUBE1) had a high specificity at 93.3%, second only to s-DD and a positive likelihood ratio (LR) > 10. IMA was the only other biomarker that also had a positive LR > 10, making it a promising diagnostic biomarker. The studies identified by this systematic literature review each analysed small patient groups but IMA, DD, and SCUBE1 nevertheless showed promise as serum biomarkers with a pooled LR > 10. However, further well-designed studies are needed to identify and evaluate individual markers or diagnostic panels to help clinicians manage this important organ-threatening condition.

Citation

Naylor, M., Doherty, G., Draper, H., Fletcher, D. M., Rigby, A., Adedipe, T., & Guinn, B. A. (2024). Are There Non-Invasive Biomarker(s) That Would Facilitate the Detection of Ovarian Torsion? A Systematic Review and Meta-Analysis. International Journal of Molecular Sciences, 25(21), Article 11664. https://doi.org/10.3390/ijms252111664

Journal Article Type Review
Acceptance Date Oct 23, 2024
Online Publication Date Oct 30, 2024
Publication Date Nov 1, 2024
Deposit Date Oct 30, 2024
Publicly Available Date Nov 1, 2024
Journal International Journal of Molecular Sciences
Electronic ISSN 1422-0067
Publisher MDPI
Peer Reviewed Peer Reviewed
Volume 25
Issue 21
Article Number 11664
DOI https://doi.org/10.3390/ijms252111664
Keywords ovarian torsion; biomarker; non-invasive; blood; IL-6; systematic review
Public URL https://hull-repository.worktribe.com/output/4872971
This output contributes to the following UN Sustainable Development Goals:

SDG 3 - Good Health and Well-Being

Ensure healthy lives and promote well-being for all at all ages

SDG 5 - Gender Equality

Achieve gender equality and empower all women and girls

SDG 10 - Reduced Inequalities

Reduce inequality within and among countries

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Copyright Statement
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).






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