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Systematic review with meta‐analysis: proximal disease extension in limited ulcerative colitis
Author(s) -
Roda G.,
Narula N.,
Pinotti R.,
Skamnelos A.,
Katsanos K. H.,
Ungaro R.,
Burisch J.,
Torres J.,
Colombel J.F.
Publication year - 2017
Publication title -
alimentary pharmacology and therapeutics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.308
H-Index - 177
eISSN - 1365-2036
pISSN - 0269-2813
DOI - 10.1111/apt.14063
Subject(s) - ulcerative colitis , medicine , meta analysis , disease , gastroenterology , epidemiology , colitis , extension (predicate logic) , computer science , programming language
Summary Background Disease extent in ulcerative colitis is one of the major factors determining prognosis over the long‐term. Disease extent is dynamic and a proportion of patients presenting with limited disease progress to more extensive forms of disease over time. Aim To perform a systematic review and meta‐analysis of epidemiological studies reporting on extension of ulcerative colitis to determine frequency of disease extension in patients with limited ulcerative colitis at diagnosis. Methods We performed a systematic literature search to identify studies on disease extension of ulcerative colitis ( UC ) and predictors of disease progression. Results Overall, 41 studies were eligible for systematic review but only 30 for meta‐analysis. The overall pooled frequency of UC extension was 22.8% with colonic extension being 17.8% at 5 years and 31% at 10 years. Extension was 17.8% (95% CI 11.2‐27.3) from E1 to E3, 27.5% (95% CI 7.6‐45.6) from E2 to E3 and 20.8% (95% CI 11.4‐26.8) from E1 to E2. Rate of extension was significantly higher in patients younger than 18 years (29.2% ( CI 6.4‐71.3) compared to older patients (20.2% ( CI 13.0‐30.1) ( P <.0001). Risk of extension was significantly higher in patients from North America (37.8%) than from Europe (19.6%) ( P <.0001). Conclusions In this meta‐analysis, approximately one quarter of patients with limited UC extend over time with most extension occurring during the first 10 years. Rate of extension depends on age at diagnosis and geographic origin. Predicting those at high risk of disease extension from diagnosis could lead to personalised therapeutic strategies.