跳至主要内容
临床试验/NCT06495203
NCT06495203
已完成
不适用

Establishing the Use of DARWEN AI Technology in Ophthalmology and Identifying Predictors of Treatment Intervals in nAMD and RVO

Bayer1 个研究点 分布在 1 个国家目标入组 1,350 人2023年11月2日

概览

阶段
不适用
干预措施
anti-VEGF treatment
疾病 / 适应症
Neovascular Age-related Macular Degeneration
发起方
Bayer
入组人数
1350
试验地点
1
主要终点
Validation of DARWEN™ AI.
状态
已完成
最后更新
去年

概览

简要总结

This is an observational study in which data already collected from people with the eye disorders below are studied. In observational studies, only observations are made without participants receiving any advice or any changes to healthcare.

Neovascular age-related macular edema (nAMD): an eye disorder caused by the lack of oxygen in the retina. The lack of oxygen leads to the increase of a protein called vascular endothelial growth factor (VEGF). VEGF causes new, weak blood vessels to grow. These vessels can leak fluid or blood into the central part of the retina at the back of the eye (macula). This leads to blurring or a blind spot in the central (straight ahead) vision needed for reading or threading a needle.

Retinal vein occlusion (RVO): an eye disorder where a blood vessel that carries blood away from the retina (vein) becomes blocked. The blocked vein causes a lack of oxygen in the retina which leads to the increase of VEGF and then vision disturbances.

These eye disorders can be treated with a type of medicine called anti-vascular endothelial growth factor (anti-VEGF). Anti-VEGF treatment helps control the growth of new blood vessels in the eye and is given via injection into the eye.

DARWEN AI is a system using artificial intelligence (AI) technology. It has been proven that DARWEN AI can be used to extract data accurately and efficiently in multiple disease areas, including breast cancer, lung cancer, ambulatory care diseases and skin disorders.

The main purpose of this study is to validate if DARWEN AI can extract and sort through information from participants' health records accurately to identify those who need more frequent injections and those who do not.

The secondary purpose of this study is to use DARWEN AI to describe the factors influencing treatment frequencies in participants with nAMD or influencing treatment discontinuation in participants with RVO.

The data will come from the participants' information stored in EyeDoc Electronic Medical Records (EMR) at St. Joseph Health Care in London. Data collected are from January 1, 2009, to May 31, 2023.

注册库
clinicaltrials.gov
开始日期
2023年11月2日
结束日期
2024年2月29日
最后更新
去年
研究类型
Observational
性别
All

研究者

发起方
Bayer
责任方
Sponsor

入排标准

入选标准

  • All patients with the diagnosis of nAMD or RVO (Branch or Central) who are patients of Dr. Tom Sheidow listed in the EyeDoc EHR with available patient records from Jan 1, 2009 to May 31, 2023.

排除标准

  • Not applicable.

研究组 & 干预措施

nAMD patients, anti-VEGF naïve on treatment after July 2015

* Cluster A: Likely to require frequent injections * Cluster B: Probable to extend treatment interval * Cluster C: Likely to extend treatment interval

干预措施: anti-VEGF treatment

nAMD patients, anti-VEGF naïve on treatment before July 2015

* Cluster D: Likely to require frequent injections * Cluster E: Probable to extend treatment interval * Cluster F: Likely to extend treatment interval

干预措施: anti-VEGF treatment

nAMD patients, anti-VEGF experienced on treatment after July 2015

* Cluster G: Likely to require frequent injections * Cluster H: Likely to extend treatment interval

干预措施: anti-VEGF treatment

CRVO patients, anti-VEGF naïve on treatment after July 2015

* Cluster A: Likely to require continued anti-VEGF treatment * Cluster B: Likely to be off anti-VEGF treatment

干预措施: anti-VEGF treatment

BRVO patients, anti-VEGF naïve on treatment after March 2017

* Cluster C: Likely to require continued anti-VEGF treatment * Cluster D: Likely to be off anti-VEGF treatment

干预措施: anti-VEGF treatment

结局指标

主要结局

Validation of DARWEN™ AI.

时间窗: Retrospective data analysis from January 1, 2009 to May 31, 2023.

Based on defined objective clinical eligibility criteria, the EMR data set was divided into four cohorts using Pentavere's proprietary AI engine DARWEN™. The following ophthalmology-specific variables were validated against a manual review: diagnosis of nAMD, diagnosis of RVO including CRVO and BRVO, treatment intervals of anti-VEGF treatment grouped as \< Q8 weeks or ≥ Q8 weeks for nAMD patients, discontinuation of anti-VEGF treatment for RVO patients, and the final outputted cohorts. The manual review was performed on a random selection of 25 patients from each of the four cohorts (100 patients total). Two trained manual abstractors classified these patients according to the rules outlined in the objective cohort criteria. They aligned on a consensus for each patient and compared with the DARWEN™cohorts. Pentavere then provided a success rate for the accuracy of the classification.

次要结局

  • Summary of baseline demographics reported as number of participants with different categories.(Retrospective data analysis from January 1, 2009 to May 31, 2023.)
  • Summary of clinical characteristics reported as number of participants with different categories.(Retrospective data analysis from January 1, 2009 to May 31, 2023.)

研究点 (1)

Loading locations...

相似试验