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Resolving Misconceptions About Liver Allocation and Redistricting Methodology—Reply

Resolving Misconceptions About Liver Allocation and Redistricting Methodology—Reply Letters 4. Fan J, Arruda-Olson AM, Leibson CL, et al. Billing code algorithms to identify tations of our data sets, we were not able to stratify our cases of peripheral artery disease from administrative data. J Am Med Inform Assoc. results according to race. 2013;20(e2):e349-e354. Robinson and Upchurch raised some methodological con- 5. Anderson JL, Halperin JL, Albert NM, et al. Management of patients with cerns with respect to our study in their Invited Commentary. peripheral artery disease (compilation of 2005 and 2011 ACCF/AHA guideline First, they were concerned that patients in the control group may recommendations): a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines. have had a longer-standing diagnosis of PAD compared with the Circulation. 2013;127(13):1425-1443. risk-reduction group, which can potentially confound our re- 6. Norgren L, Hiatt WR, Dormandy JA, Nehler MR, Harris KA, Fowkes FGR; sults. To clarify, patients in the risk-reduction group did not nec- TASC II Working Group. Inter-Society Consensus for the Management of essarily receive a first-time diagnosis of PAD between 2004 and Peripheral Arterial Disease (TASC II). J Vasc Surg. 2007;45(1)(suppl S):S5-S67. 2007 as Robinson and Upchurch suggest; patients with a his- tory of http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png JAMA Surgery American Medical Association

Resolving Misconceptions About Liver Allocation and Redistricting Methodology—Reply

Ladner, Daniela P.; Mehrotra, Sanjay
JAMA Surgery , Volume 151 (10) – Oct 22, 2016
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Publisher
American Medical Association
Copyright
Copyright 2016 American Medical Association. All Rights Reserved. Applicable FARS/DFARS Restrictions Apply to Government Use.
ISSN
2168-6254
eISSN
2168-6262
DOI
10.1001/jamasurg.2016.1318
pmid
27331370
Publisher site
See Article on Publisher Site

Abstract

Letters 4. Fan J, Arruda-Olson AM, Leibson CL, et al. Billing code algorithms to identify tations of our data sets, we were not able to stratify our cases of peripheral artery disease from administrative data. J Am Med Inform Assoc. results according to race. 2013;20(e2):e349-e354. Robinson and Upchurch raised some methodological con- 5. Anderson JL, Halperin JL, Albert NM, et al. Management of patients with cerns with respect to our study in their Invited Commentary. peripheral artery disease (compilation of 2005 and 2011 ACCF/AHA guideline First, they were concerned that patients in the control group may recommendations): a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines. have had a longer-standing diagnosis of PAD compared with the Circulation. 2013;127(13):1425-1443. risk-reduction group, which can potentially confound our re- 6. Norgren L, Hiatt WR, Dormandy JA, Nehler MR, Harris KA, Fowkes FGR; sults. To clarify, patients in the risk-reduction group did not nec- TASC II Working Group. Inter-Society Consensus for the Management of essarily receive a first-time diagnosis of PAD between 2004 and Peripheral Arterial Disease (TASC II). J Vasc Surg. 2007;45(1)(suppl S):S5-S67. 2007 as Robinson and Upchurch suggest; patients with a his- tory of

Journal

JAMA Surgery – American Medical Association

Published: Oct 22, 2016

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