Gynaecology

Systematic Review Collaboration – TVUS (MUSA) for Adenomyosis

Skills / interests: Risk of Bias assessment, Clinical peer review, Screening and selecting studies, Data extraction

Methodological skills / interests: Screening and diagnostic test reviews, Bias, Statistics

 

 

Systematic review protocol investigating the diagnostic accuracy of transvaginal ultrasound (TVUS) using MUSA criteria for the detection of adenomyosis.

 

This work is being developed as part of an MSc Medical Ultrasound dissertation (University of Cumbria), with the explicit intention of producing a publication-quality systematic review. The aim is to submit the completed review to a peer-reviewed journal in women’s health imaging, with potential alignment to Cochrane methodological standards where appropriate.

 

The review will follow established guidance for diagnostic test accuracy (DTA) reviews, including QUADAS-2 for risk of bias and hierarchical modelling approaches for meta-analysis.

 

Collaboration is sought to support rigorous study selection, data extraction, and methodological quality.

 

Ideal applicant

I am looking for a motivated collaborator with some experience in systematic reviews or evidence synthesis, particularly in areas such as study screening, data extraction, or risk of bias assessment. Experience with diagnostic test accuracy reviews, statistical analysis, or GRADE methodology would be highly valuable but is not essential. An interest in women’s health, ultrasound, or diagnostic imaging would be beneficial. Reliability, good communication, and the ability to contribute consistently over the project timeline are important. This opportunity would suit an early-career researcher, clinician, or postgraduate student looking to contribute to a publication-focused systematic review.

Think you've got what it takes to get the job done for Dejalmo?

Log in
to respond

Questions & comments