Minimally invasive and open gastrectomy for gastric cancer: A protocol for systematic review and network

Xixiong Wang1, Zhiqiang Li2, Meizhu Chen2

  • 1Department of Surgical Oncology, Boao Evergrande International Hospital, Qionghai.

Medicine
|December 5, 2018
PubMed
Abstract

Insights

This Bayesian network meta-analysis compares robotic, laparoscopic, and open gastrectomy for gastric cancer, evaluating outcomes like operation time and complications to determine the optimal surgical approach.

Area of Science:

  • Surgical Oncology
  • Gastrointestinal Surgery
  • Comparative Effectiveness Research

Background:

  • Gastric cancer treatment involves surgical options including robotic, laparoscopic, and open gastrectomy.
  • Choosing the optimal surgical approach is crucial for patient outcomes.

Purpose of the Study:

  • To compare the effectiveness and safety of robotic, laparoscopic, and open gastrectomy for gastric cancer.
  • To identify the superior surgical method through rigorous meta-analysis.

Main Methods:

  • Systematic literature search of PubMed, Embase, and Cochrane Library up to September 1, 2018.
  • Inclusion of randomized clinical trials comparing the three gastrectomy types.
  • Bayesian network meta-analysis of outcomes including operation time, blood loss, recovery, and complications.

Main Results:

  • Analysis of operation time, estimated blood loss, ambulation time, flatus, oral intake, hospitalization, and complication rates.
  • Statistical comparison of outcomes across robotic, laparoscopic, and open gastrectomy groups.

Conclusions:

  • The study aims to provide evidence-based recommendations for the best surgical treatment for gastric cancer.
  • Findings will guide clinical decision-making in gastric cancer surgery.

Related Concept Videos

Review and Preview01:10

Review and Preview

In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
8.4K
Review and Preview01:13

Review and Preview

Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
11.3K
Protein Networks02:26

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.5K
Gastric Motility01:16

Gastric Motility

Gastric motility is the coordinated contraction and relaxation of stomach muscles that convert ingested food into chyme, a semi-liquid substance ready for further digestion in the intestines. The process begins with the vagus nerve inducing the relaxation of the smooth muscles in the fundus and body of the stomach, allowing these regions to expand and accommodate up to approximately 1.5 liters of food and liquid.
Peristaltic Waves and Chyme Formation
Upon food entry, the stomach initiates...
3.2K
Random and Systematic Errors01:20

Random and Systematic Errors

Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
14.9K
Cancer Survival Analysis01:21

Cancer Survival Analysis

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
773