Literature DB >> 12925517

Waiting for organ transplantation: results of an analysis by an Institute of Medicine Committee.

Robert D Gibbons1, Naihua Duan, David Meltzer, Andrew Pope, Edward D Penhoet, Nancy N Dubler, Charles Francis, Barbara Gill, Eva Guinan, Maureen Henderson, Suzanne T Ildstad, Patricia A King, Manuel Martinez-Maldonado, George E McLain, Joseph Murray, Dorothy Nelkin, Mitchell W Spellman, Sarah Pitluck.   

Abstract

One of the most visible and contentious issues regarding the fairness of the original system of organ procurement and allocation is the argument that it resulted in great disparities in the total amount of time a patient waited for an organ (i.e. the time from registration at a transplantation center to transplant), depending on where he or she lived. In an attempt to resolve this debate, Congress charged the National Academy of Sciences, Institute of Medicine to perform an independent study of the original system and proposed rule changes. In an analysis of approximately 68,000 transplant waiting list records, the committee developed several conclusions and recommendations largely specific to liver transplantation policies. The purpose of this paper is to describe both the results of the study and the statistical foundations of the mixed-effects multinomial logistic regression model that led to the committee's conclusions.

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Year:  2003        PMID: 12925517     DOI: 10.1093/biostatistics/4.2.207

Source DB:  PubMed          Journal:  Biostatistics        ISSN: 1465-4644            Impact factor:   5.899


  11 in total

1.  Gabapentin and suicide attempts.

Authors:  Robert D Gibbons; Kwan Hur; C Hendricks Brown; J John Mann
Journal:  Pharmacoepidemiol Drug Saf       Date:  2010-10-04       Impact factor: 2.890

Review 2.  Strategies for quantifying the relationship between medications and suicidal behaviour: what has been learned?

Authors:  Robert D Gibbons; J John Mann
Journal:  Drug Saf       Date:  2011-05-01       Impact factor: 5.606

3.  Antidepressant treatment and suicide attempts and self-inflicted injury in children and adolescents.

Authors:  Robert D Gibbons; Marcelo Coca Perraillon; Kwan Hur; Rena M Conti; Robert J Valuck; David A Brent
Journal:  Pharmacoepidemiol Drug Saf       Date:  2014-09-29       Impact factor: 2.890

4.  Access to pediatric liver transplantation: does regional variation play a role?

Authors:  Mary T Austin; Irene D Feurer; C Wright Pinson
Journal:  J Gastrointest Surg       Date:  2006-03       Impact factor: 3.452

5.  Relationship between antiepileptic drugs and suicide attempts in patients with bipolar disorder.

Authors:  Robert D Gibbons; Kwan Hur; C Hendricks Brown; J John Mann
Journal:  Arch Gen Psychiatry       Date:  2009-12

6.  Association Between Opioid and Benzodiazepine Use and Clinical Deterioration in Ward Patients.

Authors:  Patrick G Lyons; Ashley Snyder; Sarah Sokol; Dana P Edelson; Babak Mokhlesi; Matthew M Churpek
Journal:  J Hosp Med       Date:  2017-06       Impact factor: 2.960

7.  Multicenter development and validation of a risk stratification tool for ward patients.

Authors:  Matthew M Churpek; Trevor C Yuen; Christopher Winslow; Ari A Robicsek; David O Meltzer; Robert D Gibbons; Dana P Edelson
Journal:  Am J Respir Crit Care Med       Date:  2014-09-15       Impact factor: 21.405

Review 8.  Post-approval drug safety surveillance.

Authors:  Robert D Gibbons; Anup K Amatya; C Hendricks Brown; Kwan Hur; Sue M Marcus; Dulal K Bhaumik; J John Mann
Journal:  Annu Rev Public Health       Date:  2010       Impact factor: 21.981

9.  Timing and Predictors of Mild and Severe Heat Illness among New Military Enlistees.

Authors:  D Alan Nelson; Patricia A Deuster; Francis G O'Connor; Lianne M Kurina
Journal:  Med Sci Sports Exerc       Date:  2018-08       Impact factor: 5.411

10.  Using electronic health record data to develop and validate a prediction model for adverse outcomes in the wards*.

Authors:  Matthew M Churpek; Trevor C Yuen; Seo Young Park; Robert Gibbons; Dana P Edelson
Journal:  Crit Care Med       Date:  2014-04       Impact factor: 7.598

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