| Literature DB >> 26322081 |
Mustafa Yıldırım1, Vildan Kaya2, Özlem Demirpençe3, Semra Paydaş4.
Abstract
INTRODUCTION: Diffuse large B cell lymphoma (DLBCL) is the most common subtype of non-Hodgkin lymphoma (NHL). Although gender has not been included in prognostic systems, male gender has been found as a bad prognostic indicator in Hodgkin lymphoma, follicular lymphoma and chronic lymphocytic leukemia. The relationship between gender and prognosis is not clear in patients with DLBCL treated with rituximab-containing regimens. The aim of this meta-analysis is to determine the prognostic/predictive role of gender in patients with DLBCL treated with rituximab-containing regimens.Entities:
Keywords: diffuse large B cell lymphoma; gender; prognosis
Year: 2015 PMID: 26322081 PMCID: PMC4548028 DOI: 10.5114/aoms.2015.53289
Source DB: PubMed Journal: Arch Med Sci ISSN: 1734-1922 Impact factor: 3.318
Figure 1Flowchart of study selection process
Summary of trials included in the meta-analysis
| Study | Country | Study design | Total number of patients | Male | Female | Median age | Stage | Median follow-up time [months] | Treatment arms | HR (OS) | Value of | HR (DFS) | Value of | HR (EFS) | Value of | Study quality score | Conclusion | Ref. |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Kang, 2013 | Korea | Retrospective | 567 | 288 | 231 | 3–4 | 33.2 | CHOP-R | 0.849 | 0.354 | 0.866 | 0.497 | 7 | NS | 14 | |||
| Lanic, 2013 | France | Retrospective | 82 | 36 | 46 | 80.2 | 1–4 | 32.8 | CHOP-R | 0.62 | 0.1 | 0.63 | 0.1 | 7 | NS | 15 | ||
| Koh, 2013 | Korea | Retrospective | 120 | 75 | 45 | 59.5 | 1–4 | NR | CHOP-R | 1.621 | 0.209 | 6 | NS | 17 | ||||
| Zho, 2013 | China | Retrospective | 227 | 128 | 99 | 53.2 | 1–4 | NR | CHOP-R | 0.657 | 0.14 | 6 | NS | 18 | ||||
| Aoki, 2013 | Japan | Retrospective | 109 | 61 | 48 | NR | 1–4 | 27 | CHOP-R | 2.1 | 0.057 | 7 | NS | 19 | ||||
| Tomita, 2013 | Japan | Retrospective | 190 | 111 | 79 | 63 | 1–2 | 52 | CHOP-R | 0.9 | 0.36 | 0.7 | 0.41 | 8 | NS | 20 | ||
| Yri, 2013 | Norway | Retrospective | 340 | 192 | 148 | 60 | 1–4 | 66 | CHOP-R | 1.09 | 0.7 | 6 | NS | 21 | ||||
| Castillo, 2013 Western | Multicenter | Retrospective | 257 | 150 | 107 | 63 | 1–4 | 36 | CHOP-R | 1.42 | 0.1 | 7 | NS | 22 | ||||
| Castillo, 2013 Asian | Multicenter | Retrospective | 455 | 247 | 248 | 64 | 1–4 | 36 | CHOP-R | 1.09 | 0.61 | 7 | NS | 22 | ||||
| Huang, 2012 | China | Retrospective | 97 | 60 | 37 | 59 | 1–4 | 56 | CHOP-R | 0.55 | 0.158 | 0.562 | 0.168 | 7 | NS | 23 | ||
| Flowers, 2013 | USA | Retrospective | 342 | NR | NR | NR | 1–4 | 35 | CHOP-R | 0.97 | 5 | NS | 24 | |||||
| Carella, 2013 | Italy, Brazil | Retrospective | 1793 | 943 | 850 | 62 | 1–4 | 36 | CHOP-R | 1.52 | 0.001 | 8 | S | 25 | ||||
| Pregno, 2012 | Italy | Prospective | 88 | 41 | 47 | 55 | 1–4 | 26.2 | CHOP-R | NR | 1.06 | 0.895 | 5 | NS | 26 | |||
| Merli, 2012 | Italy | Prospective | 110 | 55 | 55 | 71 | 1–4 | 42 | CHOP-R/miniCEOP | 0.96 | NR | 5 | NS | 27 | ||||
| Tanaka, 2012 | Japan | Retrospective | 95 | 50 | 45 | 68 | 1–4 | 34.5 | CHOP-R | 3.636 | 0.058 | 6 | NS | 28 | ||||
| Aoki, 2012 | Japan | Retrospective | 59 | 36 | 23 | 71 | 1–4 | 70 | CHOP-R/CVP-R | NR | 0.94 | 0.912 | 6 | NS | 29 | |||
| Riihijarvi, 2010 | Sweden | Retrospective | 217 | 126 | 91 | 61 | 1–4 | 49 | CHOP-R/CHOEP-R | NR | 0.51 | 0.014 | 6 | S | 11 | |||
| Yoo, 2010 | Korea | Retrospective | 126 | 64 | 52 | 57 | 3–4 | 22.4 | CHOP-R | 0.98 | 0.95 | 1.13 | 0.76 | 7 | NS | 30 | ||
| Ennishi, 2010 | Japan | Retrospective | 131 | 79 | 52 | 68 | 1–4 | 32 | CHOP-R/CHOEP-R | 1.44 | NR | 1.47 | 6 | NS | 31 | |||
| Terada, 2009 | Japan | Retrospective | 100 | 55 | 45 | 60 | 1–4 | 21.2 | CHOP-R | 2.6 | 0.14 | 8 | NS | 32 | ||||
| Chae, 2010 | Korea | Retrospective | 90 | 51 | 39 | 58 | 1–4 | 27.4 | CHOP-R | NR | 0.15 | 0.179 | 6 | NS | 33 |
Figure 2Meta-analysis of overall survival among patients receiving rituximab according to gender
Figure 3Meta-analysis of disease-free survival among patients receiving rituximab according to gender
Figure 4Meta-analysis of event-free survival among patients receiving rituximab according to gender
Figure 5Publication bias determination using funnel plot for (A) overall survival and (B) disease-free survival