0000000000538917
AUTHOR
Konstantinos Lampropoulos
Frailty and Mortality Outcomes After Percutaneous Coronary Intervention: A Systematic Review and Meta-Analysis.
Abstract Background Frailty has been identified as a risk factor for mortality. However, whether frailty increases mortality risk in patients undergoing percutaneous coronary intervention (PCI) has been controversial. Therefore, we conducted a systematic review and meta-analysis of the frailty measures and mortality outcomes in this setting. Methods PubMed and EMBASE were searched until July 23, 2017 for studies evaluating the association between frailty measures and mortality in individuals who have undergone PCI. Results A total of 141 entries were retrieved from our search strategy. A total of 8 studies involving 2332 patients were included in the final meta-analysis (mean age: 69 years;…
Cancer antigen-125 and risk of atrial fibrillation: a systematic review and meta-analysis
WOS: 000458034100002
A Two-level Spatial In-Memory Index
Very large volumes of spatial data increasingly become available and demand effective management. While there has been decades of research on spatial data management, few works consider the current state of commodity hardware, having relatively large memory and the ability of parallel multi-core processing. In this work, we re-consider the design of spatial indexing under this new reality. Specifically, we propose a main-memory indexing approach for objects with spatial extent, which is based on a classic regular space partitioning into disjoint tiles. The novelty of our index is that the contents of each tile are further partitioned into four classes. This second-level partitioning not onl…
A Two-layer Partitioning for Non-point Spatial Data
Non-point spatial objects (e.g., polygons, linestrings, etc.) are ubiquitous and their effective management is always timely. We study the problem of indexing non-point objects in memory. We propose a secondary partitioning technique for space-oriented partitioning indices (e.g., grids), which improves their performance significantly, by avoiding the generation and elimination of duplicate results. Our approach is novel and of a high impact, as (i) it is extremely easy to implement and (ii) it can be used by any space-partitioning index. We show how our approach can be used to boost the performance of spatial range queries. We also show how we can avoid performing the expensive refinement s…