Overview of large database analysis in renal transplantation

Bruce Kaplan, Jesse Schold, Herwig Ulf Meier-Kriesche

Research output: Contribution to journalArticle

36 Citations (Scopus)

Abstract

The discipline of renal transplantation has been fortunate in having one of the largest and most complete databases of any field of medical inquiry. Many analyses have been performed utilizing these databases and a wide array of views regarding the role and limitations of these analyses exists. In this manuscript, we hope to present the merits and limitations of large database analysis in renal transplantation. In addition, we will attempt to go over the major databases' structures and the critical issues of coding, verification and clinical awareness that help maintain the integrity of this type of analysis. Other fundamental issues that will be covered include the relationship of single center and randomized prospective studies with database analyses, statistical considerations, and hidden selection bias inherent in registry analysis. We hope to present both a guide to investigators who are first embarking on large-scale database analysis and also to present a fair view of the utility and limitations of a potentially very useful research tool in renal transplantation.

Original languageEnglish (US)
Pages (from-to)1052-1056
Number of pages5
JournalAmerican Journal of Transplantation
Volume3
Issue number9
DOIs
StatePublished - Sep 2003
Externally publishedYes

Fingerprint

Kidney Transplantation
Databases
Selection Bias
Clinical Coding
Registries
Research Personnel
Prospective Studies
Research

Keywords

  • Analysis
  • Database
  • SRTR
  • USRDS

ASJC Scopus subject areas

  • Immunology

Cite this

Overview of large database analysis in renal transplantation. / Kaplan, Bruce; Schold, Jesse; Meier-Kriesche, Herwig Ulf.

In: American Journal of Transplantation, Vol. 3, No. 9, 09.2003, p. 1052-1056.

Research output: Contribution to journalArticle

Kaplan, Bruce ; Schold, Jesse ; Meier-Kriesche, Herwig Ulf. / Overview of large database analysis in renal transplantation. In: American Journal of Transplantation. 2003 ; Vol. 3, No. 9. pp. 1052-1056.
@article{f4d3fb2e9bf542f5af482b0f51dbe9e4,
title = "Overview of large database analysis in renal transplantation",
abstract = "The discipline of renal transplantation has been fortunate in having one of the largest and most complete databases of any field of medical inquiry. Many analyses have been performed utilizing these databases and a wide array of views regarding the role and limitations of these analyses exists. In this manuscript, we hope to present the merits and limitations of large database analysis in renal transplantation. In addition, we will attempt to go over the major databases' structures and the critical issues of coding, verification and clinical awareness that help maintain the integrity of this type of analysis. Other fundamental issues that will be covered include the relationship of single center and randomized prospective studies with database analyses, statistical considerations, and hidden selection bias inherent in registry analysis. We hope to present both a guide to investigators who are first embarking on large-scale database analysis and also to present a fair view of the utility and limitations of a potentially very useful research tool in renal transplantation.",
keywords = "Analysis, Database, SRTR, USRDS",
author = "Bruce Kaplan and Jesse Schold and Meier-Kriesche, {Herwig Ulf}",
year = "2003",
month = "9",
doi = "10.1034/j.1600-6143.2003.00193.x",
language = "English (US)",
volume = "3",
pages = "1052--1056",
journal = "American Journal of Transplantation",
issn = "1600-6135",
publisher = "Wiley-Blackwell",
number = "9",

}

TY - JOUR

T1 - Overview of large database analysis in renal transplantation

AU - Kaplan, Bruce

AU - Schold, Jesse

AU - Meier-Kriesche, Herwig Ulf

PY - 2003/9

Y1 - 2003/9

N2 - The discipline of renal transplantation has been fortunate in having one of the largest and most complete databases of any field of medical inquiry. Many analyses have been performed utilizing these databases and a wide array of views regarding the role and limitations of these analyses exists. In this manuscript, we hope to present the merits and limitations of large database analysis in renal transplantation. In addition, we will attempt to go over the major databases' structures and the critical issues of coding, verification and clinical awareness that help maintain the integrity of this type of analysis. Other fundamental issues that will be covered include the relationship of single center and randomized prospective studies with database analyses, statistical considerations, and hidden selection bias inherent in registry analysis. We hope to present both a guide to investigators who are first embarking on large-scale database analysis and also to present a fair view of the utility and limitations of a potentially very useful research tool in renal transplantation.

AB - The discipline of renal transplantation has been fortunate in having one of the largest and most complete databases of any field of medical inquiry. Many analyses have been performed utilizing these databases and a wide array of views regarding the role and limitations of these analyses exists. In this manuscript, we hope to present the merits and limitations of large database analysis in renal transplantation. In addition, we will attempt to go over the major databases' structures and the critical issues of coding, verification and clinical awareness that help maintain the integrity of this type of analysis. Other fundamental issues that will be covered include the relationship of single center and randomized prospective studies with database analyses, statistical considerations, and hidden selection bias inherent in registry analysis. We hope to present both a guide to investigators who are first embarking on large-scale database analysis and also to present a fair view of the utility and limitations of a potentially very useful research tool in renal transplantation.

KW - Analysis

KW - Database

KW - SRTR

KW - USRDS

UR - http://www.scopus.com/inward/record.url?scp=0041360482&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0041360482&partnerID=8YFLogxK

U2 - 10.1034/j.1600-6143.2003.00193.x

DO - 10.1034/j.1600-6143.2003.00193.x

M3 - Article

VL - 3

SP - 1052

EP - 1056

JO - American Journal of Transplantation

JF - American Journal of Transplantation

SN - 1600-6135

IS - 9

ER -