Personalized Surgery for Gastric Adenocarcinoma: A Meta-analysis of D1 versus D2 Lymphadenectomy

Abraham El-Sedfy, Matthew Dixon, Rajini Seevaratnam, Alina Bocicariu, Roberta Cardoso, Alyson Mahar, Alex Kiss, Lucy Helyer, Calvin Law, Natalie G. Coburn

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

43 Citas (Scopus)

Resumen

Background: The recent publication of 5-year survival data for the Italian Gastric Cancer Study Group (IGCSG) D1 versus D2 lymphadenectomy for gastric cancer trial adds important data for analysis of whether a D2 lymphadenectomy improves survival.

Methods: Systematic searches were conducted using Medline, Embase, and the Cochrane Central Register of Controlled Trials from January 1, 1985 to February 1, 2014. Meta-analyses were performed using RevMan version 5 software. Long-term outcomes were analyzed. Subgroup analyses of T and N stage were performed.

Results: Outcomes of four randomized, controlled trials involving 1,599 patients (823 D1: 776 D2) enrolled from 1982 to 2005 were included for qualitative analysis and quantitative meta-analysis. Despite the addition of long-term survival data from the IGCSG, 5-year overall and nodal status survival was similar between D1 and D2 trials. However, subgroup analysis revealed a survival benefit for T3 patients (odds ratio 1.64, 95 % confidence interval 1.01–2.67) and a trend for survival benefit for advanced nodal stage (odds ratio 1.36, 95 % confidence interval 0.98–1.87) with D2 compared with D1 lymphadenectomy.

Conclusions: As recent studies have demonstrated comparable short-term surgical outcomes for both D1 and D2 lymphadenectomies, consideration should be made for more extensive lymph node dissection among patients with advanced stage.

Idioma originalEnglish
Páginas (desde-hasta)1820-1827
Número de páginas8
PublicaciónAnnals of Surgical Oncology
Volumen22
N.º6
DOI
EstadoPublished - jun. 1 2015

Nota bibliográfica

Publisher Copyright:
© 2014, Society of Surgical Oncology.

ASJC Scopus Subject Areas

  • Surgery
  • Oncology

PubMed: MeSH publication types

  • Journal Article
  • Meta-Analysis

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