Predicting Postoperative Lung Function Following Lung Cancer Resection: A Systematic Review and Meta-analysis.

ABSTRACT:

Background

Lung resection remains the gold standard treatment for early stage lung cancer; prediction of postoperative lung function is a key selection criterion for surgery with the aim of determining risk of postoperative dyspnoea. We aimed to identify the different prediction techniques used, and compare their accuracy.

Methods

A systematic review and meta-analysis sought to synthesise studies conducted that assess prediction of postoperative lung function up to 18/02/2018 (n = 135). PROBAST was used to assess risk of bias in studies, 17 studies were judged to be at low risk of bias.

Findings

Meta-analysis revealed CT volume and density measurement to be the most accurate (mean difference 71 ml) and precise (standard deviation 207 ml) of the reported techniques use

SUBMITTER: Oswald NK 

PROVIDER: S-EPMC6833443 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature