Title |
Systemic therapies for inflammatory eye disease: Past, Present and Future
|
---|---|
Published in |
BMC Ophthalmology, April 2013
|
DOI | 10.1186/1471-2415-13-18 |
Pubmed ID | |
Authors |
Alastair K Denniston, Andrew D Dick |
Abstract |
In this review we consider the current evidence base for treatments in inflammatory eye disease, and in particular uveitis, from a historical perspective. We consider the challenges that have traditionally hindered progress in inflammatory eye disease including small target populations, heterogeneous disease groups, poorly defined phenotypes, diagnostic inconsistency, subjective outcome measures, specific issues around visual acuity as an outcome measure and low commercial interest. Strategies to address these issues are considered de novo and with reference to recent advances outside of ophthalmology and highlight the promise for ocular inflammation. Progress in these specialties has included the development of thriving clinical-trial cultures, public-private partnerships, pathogenetic- and structure-led drug design, efficient drug development pipelines, and biomarker-defined treatment protocols enabling personalization of medicine. Although there are challenges, these are exciting opportunities as we seek to develop safe and effective treatments for patients with inflammatory eye disease. |
X Demographics
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Science communicators (journalists, bloggers, editors) | 1 | 50% |
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Mexico | 1 | 3% |
Unknown | 36 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 6 | 16% |
Student > Master | 5 | 14% |
Student > Postgraduate | 4 | 11% |
Student > Bachelor | 3 | 8% |
Student > Doctoral Student | 2 | 5% |
Other | 9 | 24% |
Unknown | 8 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 17 | 46% |
Agricultural and Biological Sciences | 3 | 8% |
Nursing and Health Professions | 2 | 5% |
Immunology and Microbiology | 2 | 5% |
Decision Sciences | 2 | 5% |
Other | 4 | 11% |
Unknown | 7 | 19% |