Systematic Reviews
Copyright ©The Author(s) 2020.
World J Gastroenterol. Sep 21, 2020; 26(35): 5362-5374
Published online Sep 21, 2020. doi: 10.3748/wjg.v26.i35.5362
Table 1 Study characteristics
Ref.Publication yearCountry of studyType of studyDXA scan1No. of patientsAverage age of patientsCohortControl groupFollow- upComments
Andreassen et al[1]1998DenmarkCross-sectional study inviting all IBD patients from a well-defined areaYes11537 (16-75); median (range)CD onlyNoNo
Andreassen et al[2]1999DenmarkCross-sectional case-control study inviting all IBD patients from a well-defined areaYes11337 (16-75); median (range)CD onlyYes; n = 113NoSame cohort used as in Andreassen et al[14] (1998)
Bernstein et al[3]20032United StatesCross-sectional data extracted from population-based Manitoba IBD research registryYes70; UC: n = 12; CD: n = 5833.0 (7.4); mean (SD)UC and CDNoNoIncludes only premenopausal women
Bernstein et al[4]20033United StatesCross-sectional data extracted from population-based Manitoba IBD research registryYes66 (DXA results: n = 70); UC: n = 11; CD: n = 5533.3 (18-44); mean (range)UC and CDNoNoIncludes only premenopausal women. Same cohort used as in Bernstein (2002)
Haugeberg et al[5]2001NorwayCross-sectional data from a population-based study. Case control studyYes5538.5 (12.7); mean (SD)CD onlyYes; n = 52No
Jahnsen et al[6]1997NorwayCross-sectional case control studyYes6036 (21-75); median (range)CD onlyYes; n = 60NoIncludes a cohort of UC patients that is not population-based which was therefore not included
Jahnsen et al[7]2004NorwayFollow-up studyYes6036 (21-75); median (range)CD onlyNoYesIncludes a cohort of UC patients that is not population-based which was therefore not included
2 yrSame cohort used as in Jahnsen (1997)
Leslie et al[8]2008CanadaFollow-up study with cohort extracted from population-based Manitoba IBD research registryYes101; UC: n = 45; CD: n = 5646.9 (15.5); mean (SD)UC and CDNoYes; 2.3 ± 0.3 yr
Leslie et al[9]2009CanadaFollow-up study with cohort extracted from population-based Manitoba IBD research registryYes101 UC: n = 45 CD: n = 5647 (15); mean (SD)UC and CDNoYes; 2.3 ± 0.3 yrSame cohort used as in Leslie et al[19] (2008)
Schoon et al[10]2000The NetherlandsCross-sectional cohortYes11942 (14); mean (SD)CD onlyNoNo
Targownik et al[11]2012CanadaFollow-up study with data extracted from population-based Manitoba IBD research registryYes86; UC: n = 32; CD: n = 50; Unclass: n = 446.7 (14.9); mean (SD); 46 (35-57) median (IQR)UC and CDNoYes; 4.3 ± 0.3 yrSame cohort used as in Leslie et al[19] (2008)
Tsai et al[12]2015TaiwanFollow-up case control study with data extracted from population-based registryNo3141; UC: n = 1489; CD: n = 165246.7 (35.6-61.0); median (IQR)UC and CDYes; n = 12564Yes; 6.49 ± 3.09 yrDiagnosis of osteoporosis based on ICD-10 codes
Table 2 Quality assessment according to the Newcastle–Ottawa Scale
Schoon et al[13] (2000)Jahnsen et al[12] (1997)Jahnsen et al[16] (2004)Tsai et al[18] (2015)Targownik et al[3] (2012)Leslie et al[20] (2009)Leslie et al[19] (2008)Andreassen et al[14] (1998)Andreassen et al[15] (1999)Bernstein et al[21] (2003, May)Bernstein et al[22] (2003, November)Haugeberg et al[17] (2001)
Selection*****************************
Comparability********
Outcome******************
Total number of stars allocated364754436336
Table 3 Overview of most relevant risk factors for low bone mineral density or osteoporosis
Risk factors for reduced BMDCDCD + UCComments
General risk factors
Gender[5,6,9,10]+/-+Female gender was found to be significantly correlated by Leslie et al[20] (2009) investigating both CD and UC patients. In CD studies, Haugeberg et al[5] found female gender to be a predictive factor for osteoporosis. Jahnsen et al[6] found men to have lower Z-scores than women, whereas Schoon et al[10] found no significant association.
Age[2,3,5,9]++/-Age was significantly associated in the CD studies. However, Haugeberg et al[5] found patients with reduced BMD to be significantly younger than those without reduced BMD.
Weight[2,3,5,9]+, -1+Low weight was found to be a risk factor for low BMD in both CD + UC cohorts. In CD cohorts, Andreassen et al[15] (1999) found a significant positive correlation only in males. Haugeberg et al[17] found a positive correlation between weight and BMD for both genders.
BMI[2,5,6,9]+/-+Leslie et al[20] (2009), the only study investigating BMI in CD + UC, found a positive correlation between BMI and BMD. Haugeberg et al[17] found a significant association for CD patients in a bivariate analysis, but not in a multiple linear regression analysis.
Steroid treatment[2,3,5,6,9]+/-2-Multiple risk factors related to steroid usage were investigated. No correlation was found in CD + UC. However, most CD studies did find a correlation.
Height[3,5,9]+/-+/-
Smoking[3,5,6]--
Vitamin D supplement[3-5]--
Calcium supplement[3-5]--
Serum 25(OH)D[1,5,8]+/-+/-
Serum calcium[1,5,8]--
Serum parathyroid hormone[1,5,8]+/-+
Disease-specific risk factors
UC diagnosis[3,9]Not relevant-
CD diagnosis[3,6,9]Not relevant+/-
Disease location[1,3,5]--
Disease duration[2,3,5,6]+3,--
Surgery[2,3,5,6]+/--
Table 4 Overview of the most relevant risk factors for change in bone mineral density over time
Risk factors for change in BMDCDCD + UCComments
General risk factors
Gender[8,9,11,12]No data+/-No difference was found between genders in one study cohort[8,9,12], whilst another cohort[11] found a greater incidence of osteoporosis in women than in men.
Age[8,9,11,12]No data+/-
Weight[9,11]No data+
BMI[7,9,11]++
Steroid treatment[7-9,11]-+/-
Smoking[7]-No data
Serum 25-OH D[7,8,11]++/-
Disease-specific risk factors
Diagnosis[9,11,12]Not relevant+1, -One[13] out of three studies found CD to be associated with an increased risk of osteoporosis. The others found no associations.
Disease location[7]-No data
Disease activity[11]No data-