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Treatment recommendations for non-infectious anterior uveitis.

Authors: Gerard, Espinosa; Santiago, Muñoz-Fernández; José M, García Ruiz de Morales; José M, Herreras; Miguel, Cordero-Coma;

Treatment recommendations for non-infectious anterior uveitis.

Abstract

To develop recommendations on the use of immunodepressors in patients with non-infectious, non-neoplastic anterior uveitis (AU) based on best evidence and experience.A multidisciplinary panel of five experts was established, who, in the first nominal group meeting defined the scope, users, and chapters of the document. A systematic literature review was performed to assess the efficacy and safety of immunosuppressors in patients with non-infectious, non-neoplastic AU. All the above was discussed in a second nominal group meeting and 33 recommendations were generated. Through the Delphi methodology, the degree of agreement with the recommendations was tested also by 25 more experts. Recommendations were voted on from one (total disagreement) to 10 (total agreement). We defined agreement if at least 70% voted ≥7. The level of evidence and degree of recommendation was assessed using the Oxford Centre for Evidence-based Medicine's Levels of Evidence.The 33 recommendations were accepted. They include specific recommendations on patients with non-infectious, non-neoplastic AU, as well as different treatment lines.In patients with non-infectious, non-neoplastic AU, these recommendations on the use of immunosuppressors might be a guide in order to help in the treatment decision making, due to the lack of robust evidence or other globally accepted algorithms.

Keywords

Delphi Technique, Clinical Decision-Making, Humans, Uveitis, Anterior, Drug Administration Schedule, Immunosuppressive Agents

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    Top 10%
    influence
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Top 10%
Average
Top 10%
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