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Palliative gastrectomy is beneficial in selected cases of metastatic gastric cancer

Overview of attention for article published in BMC Palliative Care, March 2017
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Title
Palliative gastrectomy is beneficial in selected cases of metastatic gastric cancer
Published in
BMC Palliative Care, March 2017
DOI 10.1186/s12904-017-0192-1
Pubmed ID
Authors

Jun-Te Hsu, Jian-Ann Liao, Huei-Chieh Chuang, Tai-Di Chen, Tsung-Hsing Chen, Chia-Jung Kuo, Chun-Jung Lin, Wen-Chi Chou, Ta-Sen Yeh, Yi-Yin Jan

Abstract

Salvage chemotherapy is the mainstay of treatment for metastatic gastric cancer (mGC). This study aimed to clarify the effects of palliative gastrectomy (PG) and identify prognostic factors in mGC patients undergoing PG. This was a retrospective review of 333 mGC patients receiving PG or a non-resection procedure (NR) between 2000 and 2010. Clinicopathological factors affecting the prognosis of these patients were collected prospectively and analyzed. One hundred and ninety-three patients underwent PG and 140 NR. The clinicopathological characteristics were comparable between the two groups except for metastatic pattern. There were no significant differences in postoperative morbidity and mortality between the two groups. The PG group had a significantly longer median overall survival compared with the NR group (7.7 months vs. 4.9 months). In the PG group, age ≤58 years, preoperative albumin level >3 g/dL, ratio of metastatic to examined lymph nodes ≤0.58, and administration of chemotherapy were independent prognostic factors in multivariate analysis. Patients undergoing PG had better outcomes than those undergoing NR. Among the patients undergoing resection, age ≤58 years, a better preoperative nutritional status, less nodal involvement and postoperative chemotherapy independently affected patient survival.

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Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 13%
Other 4 10%
Student > Postgraduate 4 10%
Professor > Associate Professor 3 8%
Student > Bachelor 1 3%
Other 6 15%
Unknown 16 41%
Readers by discipline Count As %
Medicine and Dentistry 9 23%
Nursing and Health Professions 7 18%
Computer Science 1 3%
Environmental Science 1 3%
Social Sciences 1 3%
Other 1 3%
Unknown 19 49%