Efficacy of mesh coverage in surgical bullectomy for primary spontaneous pneumothorax: A systematic review and meta-analysis.

BACKGROUND AND PURPOSE: Thoracic surgeons are now adopting a new method of using a mesh covering to reduce recurrence in surgical pleurodesis for pneumothorax. We aimed to review the literature and compare the outcomes of using mesh covering as an additional procedure during surgical pleurodesis. METHODS: A comprehensive search was performed from inception to October 2022 on PubMed, Embase, Cochrane and Scopus. Randomised controlled trials (RCTs) and observational cohort studies (OCSs) comparing the use of mesh coverage, and different materials were included. Data were extracted to compare recurrence and other outcomes using a random effect model. RESULTS: 23 studies consisting of 2 RCTs and 21 OCSs totalling 5092 patients were included. Patients with a mesh had a significantly lower recurrence (OR = 0.22, 95% CI 0.12-0.42, p < 0.0001) and a shorter duration of chest tube drainage (SMD = -0.74 days, 95% CI -0.28 to -1.20, p < 0.0001) but no significant difference in the length of operation. The use of polyglycolic acid (PGA) and vicryl mesh was associated with a significantly shorter duration of chest tube drainage [(PGA, SMD = 0.83 days, 95% CI 0.14-1.52, p < 0.0001), (vicryl, SMD = 1.06 days, 95% CI 0.71-2.82, p = 0.0005)]. They also had a shorter post-operative length of stay than oxidized regenerative cellulose (ORC) but this was not statistically significant. CONCLUSION: The use of a mesh material reduced the incidence of post-operative air leaks in the short term and the recurrence rate in the long term. Some mesh materials such as PGA and vicryl performed better than other materials.

Unsupervised High-Dimensional Analysis Aligns Dendritic Cells across Tissues and Species.

Dendritic cells (DCs) are professional antigen-presenting cells that hold great therapeutic potential. Multiple DC subsets have been described, and it remains challenging to align them across tissues and species to analyze their function in the absence of macrophage contamination. Here, we provide and validate a universal toolbox for the automated identification of DCs through unsupervised analysis of conventional flow cytometry and mass cytometry data obtained from multiple mouse, macaque, and human tissues. The use of a minimal set of lineage-imprinted markers was sufficient to subdivide DCs into conventional type 1 (cDC1s), conventional type 2 (cDC2s), and plasmacytoid DCs (pDCs) across tissues and species. This way, a large number of additional markers can still be used to further characterize the heterogeneity of DCs across tissues and during inflammation. This framework represents the way forward to a universal, high-throughput, and standardized analysis of DC populations from mutant mice and human patients.