Related Experiment Video
Updated: Jun 17, 2025
Immunoglobulin Gene Sequence Analysis In Chronic Lymphocytic Leukemia: From Patient Material To Sequence Interpretation
Published on: November 26, 2018
Prognostic factors in Chinese patients with immunoglobulin light chain amyloidosis: a scoping review and
Yu Wu1, Xiaohong Wang2, Xīn Gào2
1West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Objective:
This scoping review and meta-analysis aimed to map the evidence regarding prognostic factors in Chinese patients with immunoglobulin light chain (AL) amyloidosis and to identify current research gaps.
Methods:
We searched EMBASE, PubMed, and CNKI databases from their inception to 15 September 2021. All studies investigated the association between any prognostic factor and target outcomes, including overall survival (OS), progression-free survival (PFS), and end-stage renal disease (ESRD) in Chinese patients with AL amyloidosis.
Results:
This scoping review included 52 studies, of which 44 with 6,432 patients contributed to the multivariate prognostic analysis. Multivariate analysis identified a total of 106 factors that correlated with OS, 16 factors with PFS, and 18 factors with ESRD. Five prognostic factors were significantly associated with PFS, and 11 prognostic factors were significantly associated with ESRD. Meta-analysis was only available for prognostic factors without heterogeneous cutoff values, for which hazard ratios (HRs) and their 95% confidence intervals (CIs) were reported. Meta-analysis showed that bone marrow plasma cells (BMCs) (HR: 1.96, 95% CI: 1.21-3.19, p < 0.05) and interventricular septal thickness (IVST) (HR: 1.23, 95% CI: 1.10-1.38, p < 0.05) were independently associated with OS.
Conclusion:
The significant prognostic factors associated with OS, PFS, and ESRD in Chinese patients with AL amyloidosis were related to plasma cell tumor load, biological characteristics, cardiac involvement, renal involvement, population characteristics, and treatment. Further studies should explore additional prognostic factors in patients with AL amyloidosis to develop prognostic models.
