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Thoracotomy is better than thoracoscopic lobectomy in the lymph node dissection of lung cancer: a systematic review and meta-analysis

Overview of attention for article published in World Journal of Surgical Oncology, November 2016
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Title
Thoracotomy is better than thoracoscopic lobectomy in the lymph node dissection of lung cancer: a systematic review and meta-analysis
Published in
World Journal of Surgical Oncology, November 2016
DOI 10.1186/s12957-016-1038-7
Pubmed ID
Authors

Wenxiong Zhang, Yiping Wei, Han Jiang, Jianjun Xu, Dongliang Yu

Abstract

The aim of this study was to investigate which surgical method is better in lymph node (LN) dissection of lung cancer. A comprehensive search of PubMed, Ovid MEDLINE, EMBASE, Web of Science, ScienceDirect, the Cochrane Library, Scopus, and Google Scholar was performed to identify studies comparing thoracoscopic lobectomy (video-assisted thoracic surgery (VATS) group) and thoracotomy (open group) in LN dissection. Twenty-nine articles met the inclusion criteria and involved 2763 patients in the VATS group and 3484 patients in the open group. The meta-analysis showed that fewer total LNs (95% confidence interval [CI] -1.52 to -0.73, p < 0.0001) and N2 LNs (95% CI -1.25 to -0.10, p = 0.02) were dissected in the VATS group. A similar number of total LN stations, N2 LN stations, and N1 LNs were harvested in both groups. Only one study reported that fewer N1 LN stations were dissected in the VATS group (1.4 ± 0.5 vs. 1.6 ± 0.6, p = 0.04). Open lobectomy could achieve better LN dissection efficacy than thoracoscopic lobectomy in the treatment of lung cancer, especially in the N2 LNs dissection. These findings require validation by high-quality, large-scale randomized controlled trials.

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The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 17%
Other 4 13%
Professor > Associate Professor 4 13%
Student > Postgraduate 3 10%
Professor 3 10%
Other 5 17%
Unknown 6 20%
Readers by discipline Count As %
Medicine and Dentistry 21 70%
Psychology 1 3%
Unknown 8 27%