In:
Medicine, Ovid Technologies (Wolters Kluwer Health), Vol. 98, No. 11 ( 2019-03), p. e14790-
Abstract:
Video-assisted thoracoscopic surgery (VATS) has developed rapidly and a variety of feasible technical methods have been formed. VATS is the main way of lung cancer resection nowadays with minor surgical incision and less bleeding. Robot-assisted thoracic surgery (RATS) is a revolution in surgical procedures and robotic pulmonary resection has been put to use by an increasing quantity of hospitals around the world. However, the widespread adoption of robot-assisted lung cancer resection is controversial. We aimed to evaluate quality metrics of these 2 different approaches of operation by this review and meta-analysis. Methods and Analysis: We will search Medline, Embase, Pubmed, Google Scholar, and the Cochrane Central Register of Controlled Trials for related literature published in any language before February 28, 2019. Propensity score matched comparative studies, prospective cohort studies; randomized controlled trials (RCTs) will be included. If sufficient data are available, we will perform subgroup analysis in different operative types of lung cancer resection. Results: The results of this study will be published in a peer-reviewed journal. Conclusion: To our knowledge, this will be the first time to use meta-analysis to assess quality metrics of video-assisted thoracoscopic lung cancer resection and robot-assisted lung cancer resection. The results of this study will provide more proofs for researchers, clinicians, and patients with lung cancer to choose a suitable surgical procedure. There is not enough high-quality evidence of RCTs to be included, due to the characteristics of interventions. We will try to include some non-randomized controlled trials, small sample trails. Although our team has experience in carrying out a systematic review and meta-analysis, there may be high heterogeneity and low reliability of evidence, which is the limitation of this study.
Type of Medium:
Online Resource
ISSN:
0025-7974
,
1536-5964
DOI:
10.1097/MD.0000000000014790
Language:
English
Publisher:
Ovid Technologies (Wolters Kluwer Health)
Publication Date:
2019
detail.hit.zdb_id:
2049818-4
