Literature DB >> 29781362

The Era of the Large Databases: Outcomes After Gastroesophageal Surgery According to NSQIP, NIS, and NCDB Databases. Systematic Literature Review.

Gabriela Batista Rodríguez1,2, Andrea Balla1,3, Sonia Fernández-Ananín1, Carmen Balagué1, Eduard M Targarona1.   

Abstract

BACKGROUND: The term big data refers to databases that include large amounts of information used in various areas of knowledge. Currently, there are large databases that allow the evaluation of postoperative evolution, such as the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP), the Healthcare Cost and Utilization Project (HCUP) National Inpatient Sample (NIS), and the National Cancer Database (NCDB). The aim of this review was to evaluate the clinical impact of information obtained from these registries regarding gastroesophageal surgery.
METHODS: A systematic review using the Meta-analysis of Observational Studies in Epidemiology guidelines was performed. The research was carried out using the PubMed database identifying 251 articles. All outcomes related to gastroesophageal surgery were analyzed.
RESULTS: A total of 34 articles published between January 2007 and July 2017 were included, for a total of 345 697 patients. Studies were analyzed and divided according to the type of surgery and main theme in (1) esophageal surgery and (2) gastric surgery.
CONCLUSIONS: The information provided by these databases is an effective way to obtain levels of evidence not obtainable by conventional methods. Furthermore, this information is useful for the external validation of previous studies, to establish benchmarks that allow comparisons between centers and have a positive impact on the quality of care.

Entities:  

Keywords:  esophageal surgery; evidence-based medicine/surgery; gastric surgery; surgical oncology

Mesh:

Year:  2018        PMID: 29781362     DOI: 10.1177/1553350618775539

Source DB:  PubMed          Journal:  Surg Innov        ISSN: 1553-3506            Impact factor:   2.058


  4 in total

1.  Do Diagnostic and Procedure Codes Within Population-Based, Administrative Datasets Accurately Identify Patients with Rectal Cancer?

Authors:  Reilly P Musselman; Tara Gomes; Deanna M Rothwell; Rebecca C Auer; Husein Moloo; Robin P Boushey; Carl van Walraven
Journal:  J Gastrointest Surg       Date:  2018-12-03       Impact factor: 3.452

2.  Population Registry of Esophageal and Stomach Tumours in Ontario (PRESTO): protocol for a multicentre clinical and pathological database including 25 000 patients.

Authors:  Vaibhav Gupta; Jordan Levy; Catherine Allen-Ayodabo; Elmira Amirazodi; Laura Davis; Qing Li; Alyson Mahar; Natalie G Coburn
Journal:  BMJ Open       Date:  2020-05-30       Impact factor: 2.692

3.  Impact of race on care, readmissions, and survival for patients with glioblastoma: an analysis of the National Cancer Database.

Authors:  Tiffany R Hodges; Collin M Labak; Uma V Mahajan; Christina Huang Wright; James Wright; Gino Cioffi; Haley Gittleman; Eric Z Herring; Xiaofei Zhou; Kelsey Duncan; Carol Kruchko; Andrew E Sloan; Jill S Barnholtz-Sloan
Journal:  Neurooncol Adv       Date:  2021-03-06

4.  Effect of Neoadjuvant Chemotherapy on Complications, in-Hospital Mortality, Length of Stay and Total Hospital Costs in Bladder Cancer Patients Undergoing Radical Cystectomy.

Authors:  Benedikt Hoeh; Rocco Simone Flammia; Lukas Hohenhorst; Gabriele Sorce; Francesco Chierigo; Andrea Panunzio; Zhe Tian; Fred Saad; Michele Gallucci; Alberto Briganti; Carlo Terrone; Shahrokh F Shariat; Markus Graefen; Derya Tilki; Alessandro Antonelli; Luis A Kluth; Philipp Mandel; Felix K H Chun; Pierre I Karakiewicz
Journal:  Cancers (Basel)       Date:  2022-02-26       Impact factor: 6.639

  4 in total

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