WeChat Mini Program
Old Version Features

The Impact of Disease Activity Criteria on Extending Injection Intervals in Real-World Patients with Neovascular Age-Related Macular Degeneration.

Ophthalmology and Therapy(2025)

Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology

Cited 0|Views2
Abstract
In clinical practice, intravitreal anti-vascular endothelial growth factor (anti-VEGF) injection intervals for patients with neovascular age-related macular degeneration (nAMD) are based on disease activity, with active or recurrent disease requiring more frequent injections. Injection interval modification criteria differ from those used in clinical trials, thereby potentially affecting treatment outcomes. This analysis evaluated the potential impact of applying disease activity criteria from recent clinical trials (TENAYA/LUCERNE; HAWK/HARRIER; PULSAR) on the decision to extend injection intervals in real-world patients commenced on faricimab after the loading phase of treatment and at 12 months. Data were analysed from 105 treatment-naïve patients with nAMD who received anti-VEGF injections at Moorfields Eye Hospital. Disease activity criteria from TENAYA/LUCERNE, HAWK/HARRIER and PULSAR clinical trials were applied to determine the hypothetical impact on the decision to modify injection intervals at week 12 (fourth injection) and 12-month real-world clinic visits. At 12 weeks, 79
More
Translated text
Key words
Anti-vascular endothelial growth factor (anti-VEGF),Neovascular age-related macular degeneration (nAMD),Optical coherence tomography (OCT),Real-world
求助PDF
上传PDF
Bibtex
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
  • Pretraining has recently greatly promoted the development of natural language processing (NLP)
  • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
  • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
  • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
  • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper
Summary is being generated by the instructions you defined