Simon M. Scheck, Claire Henry, Nick Bedford, Jason Abbott, Michael Wynn-Williams, Anusch Yazdani, Simon McDowell
{"title":"子宫内膜异位症的非侵入性检查在这里；它们的可靠性有多高，我们应该如何处理结果？","authors":"Simon M. Scheck, Claire Henry, Nick Bedford, Jason Abbott, Michael Wynn-Williams, Anusch Yazdani, Simon McDowell","doi":"10.1111/ajo.13765","DOIUrl":null,"url":null,"abstract":"<p>A reliable non-invasive biomarker for endometriosis is highly likely in the coming years. In the lead-up to this, clinicians need to be aware of commercially available tests as they become accessible, be aware of the level of evidence to support them and be prepared to counsel and manage patients who present with the results of such tests. One such test gaining popularity in Europe was developed using a machine-based learning algorithm to analyse thousands of microRNAs based on a 200-patient cohort with suspected endometriosis in France. We explore the background science for this commercially available test; outline the questions that remain to be answered; and caution against its use outside of a research setting.</p>","PeriodicalId":55429,"journal":{"name":"Australian & New Zealand Journal of Obstetrics & Gynaecology","volume":null,"pages":null},"PeriodicalIF":1.4000,"publicationDate":"2023-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ajo.13765","citationCount":"0","resultStr":"{\"title\":\"Non-invasive tests for endometriosis are here; how reliable are they, and what should we do with the results?\",\"authors\":\"Simon M. Scheck, Claire Henry, Nick Bedford, Jason Abbott, Michael Wynn-Williams, Anusch Yazdani, Simon McDowell\",\"doi\":\"10.1111/ajo.13765\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>A reliable non-invasive biomarker for endometriosis is highly likely in the coming years. In the lead-up to this, clinicians need to be aware of commercially available tests as they become accessible, be aware of the level of evidence to support them and be prepared to counsel and manage patients who present with the results of such tests. One such test gaining popularity in Europe was developed using a machine-based learning algorithm to analyse thousands of microRNAs based on a 200-patient cohort with suspected endometriosis in France. We explore the background science for this commercially available test; outline the questions that remain to be answered; and caution against its use outside of a research setting.</p>\",\"PeriodicalId\":55429,\"journal\":{\"name\":\"Australian & New Zealand Journal of Obstetrics & Gynaecology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2023-11-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ajo.13765\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Australian & New Zealand Journal of Obstetrics & Gynaecology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/ajo.13765\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"OBSTETRICS & GYNECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Australian & New Zealand Journal of Obstetrics & Gynaecology","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/ajo.13765","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"OBSTETRICS & GYNECOLOGY","Score":null,"Total":0}
Non-invasive tests for endometriosis are here; how reliable are they, and what should we do with the results?
A reliable non-invasive biomarker for endometriosis is highly likely in the coming years. In the lead-up to this, clinicians need to be aware of commercially available tests as they become accessible, be aware of the level of evidence to support them and be prepared to counsel and manage patients who present with the results of such tests. One such test gaining popularity in Europe was developed using a machine-based learning algorithm to analyse thousands of microRNAs based on a 200-patient cohort with suspected endometriosis in France. We explore the background science for this commercially available test; outline the questions that remain to be answered; and caution against its use outside of a research setting.
期刊介绍：
The Australian and New Zealand Journal of Obstetrics and Gynaecology (ANZJOG) is an editorially independent publication owned by the Royal Australian and New Zealand College of Obstetricians and Gynaecologists (RANZCOG) and the RANZCOG Research foundation. ANZJOG aims to provide a medium for the publication of original contributions to clinical practice and/or research in all fields of obstetrics and gynaecology and related disciplines. Articles are peer reviewed by clinicians or researchers expert in the field of the submitted work. From time to time the journal will also publish printed abstracts from the RANZCOG Annual Scientific Meeting and meetings of relevant special interest groups, where the accepted abstracts have undergone the journals peer review acceptance process.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
