Tubercular Uveitis: Nuggets from Collaborative Ocular Tuberculosis Study (COTS)-1.
Ilaria TestiRupesh V AgrawalSarakshi MahajanAniruddha Kishandutt AgarwalDinesh Visva GunasekeranDhananjay RajeKanika AggarwalSomasheila I MurthyMark WestcottSoon Phaik CheePeter McCluskeySu Ling HoStephen TeohCimino LucaJyotirmay BiswasShishir NarainManisha AgarwalPadmamalini MahendradasMoncef KhairallahNicholas JonesIlknur Tugal-TutkunKalpana BabuSoumayava BasuEster CarreñoRichard LeeHassan Al-DhibiBahram BodaghiAlessandro InvernizziDebra A GoldsteinCarl P HerbortTalin Barisani-AsenbauerJulio José González-LópezSofia AndroudiReema BansalBruttendu MoharanaSimona Degli EspostiAnastasia TasiopoulouSengal NadarajahMamta AgarwalSharanya AbrahamRuchi ValaRamandeep SinghAman SharmaKusum SharmaManfred ZierhutAndres RousselotRobert GrantOnn Min KonEmmett T CunninghamJohn KempenQuan Dong NguyenCarlos PavesioVishali GuptaPublished in: Ocular immunology and inflammation (2019)
Background: Tuberculosis (TB) is a major infection that can affect the eye as first and sole presentation without features of systemic disease. Controversy exists regarding diagnosis and management of tubercular uveitis (TBU), further compounded by regional variations in disease expression. Purpose: Collaborative Ocular Tuberculosis Study (COTS)-1 aims to address knowledge deficits through collaboration amongst uveitis specialists across the globe by sharing the data of patients with TBU presented at participating centers from January 2004 to December 2014. Methods: Data collection was facilitated by a novel method of real-time encrypted web-based data entry allowing regular updates as new data and recommendations become available. Results: Information on clinical features, investigation findings, management, and treatment outcomes were reviewed to get an idea about real world scenario. Conclusion: The current review aims to focus on methodology and briefing of published reports from COTS group in COTS-1 study to highlight key messages from this large data.
Keyphrases
- electronic health record
- mycobacterium tuberculosis
- big data
- juvenile idiopathic arthritis
- healthcare
- traumatic brain injury
- pulmonary tuberculosis
- rheumatoid arthritis
- randomized controlled trial
- adverse drug
- machine learning
- hiv aids
- health information
- data analysis
- case report
- quality improvement
- human immunodeficiency virus
- long non coding rna
- deep learning