Optimal management of gastric cancer: results from an international RAND/UCLA expert panel. Academic Article uri icon

Overview

abstract

  • OBJECTIVE: Defining processes of care, which are appropriate and necessary for management of gastric cancer (GC), is an important step toward improving outcomes. METHODS: Using a RAND/UCLA Appropriateness Method, an international multidisciplinary expert panel created 22 statements reflecting optimal management. All statements were scored for appropriateness and necessity. RESULTS: The following tenets were scored appropriate and necessary: (1) preoperative staging by computed tomography of abdomen/pelvis; (2) positron-emission tomographic scans not routinely indicated; (3) consideration for adjuvant therapy; (4) further clinical trials; (5) multidisciplinary decision making; (6) sufficient support at hospitals; (7) assessment of 16 or more lymph nodes (LNs); (8) in metastatic disease, surgery only for palliation of major symptoms; (9) surgeons experienced in GC management; (10) and surgeons experienced in both GC management and advanced laparoscopic surgery for laparoscopic resection. The following were scored appropriate, but of indeterminate necessity: (1) diagnostic laparoscopy before treatment; (2) a multidisciplinary approach to linitis plastica; (3) genetic assessment for diffuse GC and family history, or age less than 45 years; (4) endoscopic removal of select T1aN0 lesions; (5) D2 LN dissection in curative intent cases; (6) D1 LN dissection for early GC or patients with comorbidities; (7) frozen section analysis of margins; (8) nonemergent cases performed in a hospital with a volume of more than 15 resections per year; and (9) by a surgeon with more than 6 resection per year. CONCLUSIONS: The expert panel has created 22 statements for the perioperative management of GC patients, to provide guidance to clinicians and improve the care received by patients.

publication date

  • January 1, 2014

Research

keywords

  • Stomach Neoplasms

Identity

Scopus Document Identifier

  • 84891630015

Digital Object Identifier (DOI)

  • 10.1097/SLA.0b013e318288dd2b

PubMed ID

  • 23478525

Additional Document Info

volume

  • 259

issue

  • 1