Literature DB >> 27567736

A Review of Databases Used in Orthopaedic Surgery Research and an Analysis of Database Use in Arthroscopy: The Journal of Arthroscopic and Related Surgery.

Jeffrey H Weinreb1, Ryu Yoshida1, Mark P Cote1, Michael B O'Sullivan1, Augustus D Mazzocca2.   

Abstract

PURPOSE: The purpose of this study was to evaluate how database use has changed over time in Arthroscopy: The Journal of Arthroscopic and Related Surgery and to inform readers about available databases used in orthopaedic literature.
METHODS: An extensive literature search was conducted to identify databases used in Arthroscopy and other orthopaedic literature. All articles published in Arthroscopy between January 1, 2006, and December 31, 2015, were reviewed. A database was defined as a national, widely available set of individual patient encounters, applicable to multiple patient populations, used in orthopaedic research in a peer-reviewed journal, not restricted by encounter setting or visit duration, and with information available in English.
RESULTS: Databases used in Arthroscopy included PearlDiver, the American College of Surgeons National Surgical Quality Improvement Program, the Danish Common Orthopaedic Database, the Swedish National Knee Ligament Register, the Hospital Episodes Statistics database, and the National Inpatient Sample. Database use increased significantly from 4 articles in 2013 to 11 articles in 2015 (P = .012), with no database use between January 1, 2006, and December 31, 2012.
CONCLUSIONS: Database use increased significantly between January 1, 2006, and December 31, 2015, in Arthroscopy. LEVEL OF EVIDENCE: Level IV, systematic review of Level II through IV studies.
Copyright © 2016 Arthroscopy Association of North America. Published by Elsevier Inc. All rights reserved.

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Mesh:

Year:  2016        PMID: 27567736     DOI: 10.1016/j.arthro.2016.06.014

Source DB:  PubMed          Journal:  Arthroscopy        ISSN: 0749-8063            Impact factor:   4.772


  4 in total

1.  Low Accuracy of Diagnostic Codes to Identify Anterior Cruciate Ligament Tear in Orthopaedic Database Research.

Authors:  Thomas L Sanders; Ayoosh Pareek; Vishal S Desai; Timothy E Hewett; Bruce A Levy; Michael J Stuart; Diane L Dahm; Aaron J Krych
Journal:  Am J Sports Med       Date:  2018-08-20       Impact factor: 6.202

2.  Characterizing efficiency in the ambulatory surgery setting: An analysis of operating room time and cost savings in orthopaedic surgery.

Authors:  Uchechi Iweala; Danny Lee; Ryan Lee; Jeffrey H Weinreb; Joseph R O'Brien; Warren Yu
Journal:  J Orthop       Date:  2019-09-11

3.  Large databases: additional value or inherent risk?

Authors:  Mike Ruettermann
Journal:  J Hand Surg Eur Vol       Date:  2018-05

4.  Increased Utilization of American Administrative Databases and Large-scale Clinical Registries in Orthopaedic Research, 1996 to 2016.

Authors:  Nicholas W Karlson; Teron A Nezwek; Mariano E Menendez; David Tybor; Matthew J Salzler
Journal:  J Am Acad Orthop Surg Glob Res Rev       Date:  2018-11-16
  4 in total

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