| Literature DB >> 32373775 |
Yuta Yamaguchi1, Takayoshi Morita1,2, Atsushi Kumanogoh1,2,3.
Abstract
OBJECTIVE: Prevention of steroidal osteoporosis is an important issue. There is no clear consensus on the impact of anti-RANKL antibody (denosumab) on BMD in patients with glucocorticoid-induced osteoporosis (GIO). In this study, we aimed to evaluate the impact of denosumab on BMD loss in patients with GIO.Entities:
Keywords: anti-RANKL antibody; bone mineral density; denosumab; glucocorticoid-induced osteoporosis; meta-analysis
Year: 2020 PMID: 32373775 PMCID: PMC7197806 DOI: 10.1093/rap/rkaa008
Source DB: PubMed Journal: Rheumatol Adv Pract ISSN: 2514-1775
Background of patients receiving the treatment of glucocorticoids
| Author, year, country |
| Number of patients | Age (years) [mean ( | Female (%) | Main conditions of patients | CS dosage (mg/day) [mean ( | CS duration [mean ( | BMD (g/cm2) Lumbar [mean ( | T-score Lumbar [mean ( | Treatment history of bisphosphonates (%) |
|---|---|---|---|---|---|---|---|---|---|---|
| Saag | 2 (RCT) | 253 | 61.5 (11.6) | 73.1 |
SLE (5.9%) RA (37.9%) PMR (8.3%) Vasculitis (5.9%) COPD (2.8%) Asthma (7.9%) IBD (1.2%) | 12.3 (8.09) |
0–3 months: 5.1% 3–12 months: 32.0% ≤12 months: 62.5% | ND |
−1.92 (1.38) −1.66 (0.96) ND | ND |
| Iwamoto | 3 (cohort) | 66 | 63.4 (12.8) | 84.9 |
SLE (19.7%) RA (37.9%) PMR (14.6%) PM/DM (3.0%) BD (4.6%) Overlap syndrome (12.1%) Others (18.1%) | 5.92 (3.79) | 11.6 (8.5) years |
0.775 (0.195) ND ND |
−2.25 (1.64) ND ND | 78.8 |
| Iseri | 2 (RCT) | 14 | 66.5 (39.0– 75.8)b | 42.9 | SLE (21.4%) AAV (21.4%) MN (14.3%) MCNS (28.6%) FSGS (7.14%) IgA N (7.14%) | 5.0 (2.4–8.5)b | 6.9 (2.2–19.0) yearsb |
0.895 (0.787–1.022)b ND 0.672 (0.17) |
−1.3 (−2.5–0.3)b ND −1.3 (1.3) | 0 |
| Suzuki | 3 (cohort) | 24 | 48.4 (1.2) | 100 |
SLE (4.16%) RA (62.5%) PMR (12.5%) PM/DM (0%) MCTD (4.16%) AOSD (4.16%) UC (4.16%) Crohn’s disease (4.16%) After transplantation (4.16%) | 5.0 (0.6) | 38.1 (5.7) months |
0.826 (0.04) 0.549 (0.03) ND |
ND (< −3.0 | 100 |
| Sawamura | 3 (cohort) | 29 | 50.4 (15.9) | 75.9 |
SLE (55.2%) RA (20.7%) PM/DM (6.9%) SS (3.4%) BD (3.4%) CKD (10.4%) | 7.4 (5.4) | 17.4 (9.3), years | ND | ND | 62.1 |
| Petranova | 3 (cohort) | 30 | 66.7 (7.9) | 100 | Rheumatic disease (97%) | ND | ND |
0.824 (1.16) 0.681 (0.71) ND |
−2.95 (0.03) −2.47 (0.23) ND | ND |
| Mok | 2 (RCT) | 21 | 54.9 (12.8) | 100 |
SLE (81%) RA (19%) | 4.6 (2.06) |
108.2 (56.0) months |
0.833 (0.11) 0.731 (0.09) 0.606 (0.08) |
−2.27 (1.02) 1.73 (0.69) −2.19 (0.70) | 100 |
EL: evidence level was evaluated based on Oxford Centre for Evidence-Based Medicine 2011 [13].
Median (range from 25th to 75th percentile).
T-score was described only as <−3.0 (s.d.).
AAV: anti-neutrophil cytoplasmic antibody associated disease; AOSD: adult-onset Still’s disease; BD: Behçet disease; CKD: chronic kidney disease; COPD: chronic obstructive pulmonary disease; FSGS: focal glomerular sclerosis; IgA N: immunoglobulin A nephropathy; MCNS: minimal change nephrotic syndrome; MN: membranous nephropathy; ND: not determined; RCT: randomized clinical trial; UC: ulcerative colitis.
Fig. 1PRISMA flow diagram
Fig. 2Forrest plot: meta-analysis of BMD in the lumbar spine
The rate of change of BMD at 6 (A) and 12 months (B) after the start of denosumab treatment was calculated using the random effects model. MRAW: raw (untransformed) means.
Fig. 3Forrest plot: meta-analysis of BMD in the total hip
The rate of change of BMD at 6 (A) and 12 months (B) after the start of denosumab treatment was calculated using the random effects model. MRAW: raw (untransformed) means.
Fig. 4Forrest plot: meta-analysis of BMD in the femoral neck
The change rate of BMD at 6 (A) and 12 months (B) after the start of denosumab treatment was calculated using the random effects model. MRAW: raw (untransformed) means.
Fig. 5Forrest plot: meta-analysis of BMD between denosumab and bisphosphonates
The mean difference in BMD of the lumbar spine (A) and the femoral neck (B) was calculated using the random effects model. MD: mean difference.