| Literature DB >> 28816963 |
Xiaoping Zhang1, Zheng Ge, Baoan Chen, Ran Liu, Chong Gao.
Abstract
This meta-analysis was performed to evaluate the efficacy and safety of fludarabine (F)-based regimen for the treatment of non-Hodgkin lymphoma (NHL) compared with other regimens with no F contained.PubMed, Embase, Cochrane Library, Wanfang, VIP, and CNKI databases were searched to identify eligible literatures. R software version 3.12 was used for statistical analysis. Odds ratio (OR) with 95% confidence interval (CI) were utilized to express the complete response, overall response and adverse events outcomes. Egger test was carried out to examine the publication bias and sensitivity analysis was performed to evaluate the stability of our results.Twelve eligible literatures consisting of 1587 patients were included in this study. Greater complete response (OR = 1.66, 95% CI: 0.98-2.80) and overall response (OR = 1.38, 95% CI: 0.85-2.24) were found for patients who received F-based regimen than those received other regimens, although the results were not statistically significant. In addition, F-based regimen was associated with significantly lower risk of adverse events compared with other regimens (OR = 0.46, 95% CI: 0.28-0.74). Results of subgroup analysis showed that significantly lower incidence was presented only for constipation among the 7 specific adverse events (OR = 0.03, 95% CI: 0.01-0.14).F-based chemotherapy regimen was an effective and well-tolerated treatment for patients with NHL.Entities:
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Year: 2017 PMID: 28816963 PMCID: PMC5571700 DOI: 10.1097/MD.0000000000007781
Source DB: PubMed Journal: Medicine (Baltimore) ISSN: 0025-7974 Impact factor: 1.889
Figure 1Flow chart of study selection.
Characteristics of eligible studies.
Figure 2Forest plots of treatment effect for (A) complete response and (B) overall response.
Figure 3Sensitivity analysis of treatment effect for (A) complete response and (B) overall response.
Figure 4Funnel plot for (A) complete response and (B) overall response.
Figure 5Forest plots of treatment effect for adverse events.
Subgroup analysis of adverse events.
Subgroup analysis of ages.