Literature DB >> 23849152

Different analyses estimate different parameters of the effect of erythropoietin stimulating agents on survival in end stage renal disease: a comparison of payment policy analysis, instrumental variables, and multiple imputation of potential outcomes.

David D Dore1, Shailender Swaminathan, Roee Gutman, Amal N Trivedi, Vincent Mor.   

Abstract

OBJECTIVE: To compare the assumptions and estimands across three approaches to estimate the effect of erythropoietin-stimulating agents (ESAs) on mortality. STUDY DESIGN AND
SETTING: Using data from the Renal Management Information System, we conducted two analyses using a change to bundled payment that, we hypothesized, mimicked random assignment to ESA (pre-post, difference-in-difference, and instrumental variable analyses). A third analysis was based on multiply imputing potential outcomes using propensity scores.
RESULTS: There were 311,087 recipients of ESAs and 13,095 non-recipients. In the pre-post comparison, we identified no clear relationship between bundled payment (measured by calendar time) and the incidence of death within 6 months (risk difference -1.5%; 95% confidence interval [CI] -7.0%, 4.0%). In the instrumental variable analysis, the risk of mortality was similar among ESA recipients (risk difference -0.9%; 95% CI -2.1, 0.3). In the multiple imputation analysis, we observed a 4.2% (95% CI 3.4%, 4.9%) absolute reduction in mortality risk with the use of ESAs, but closer to the null for patients with baseline hematocrit level >36%.
CONCLUSION: Methods emanating from different disciplines often rely on different assumptions but can be informative about a similar causal contrast. The implications of these distinct approaches are discussed.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Causal inference; Comparative effectiveness research; Dialysis; End-stage renal disease; Methods; Pharmacoepidemiology

Mesh:

Substances:

Year:  2013        PMID: 23849152      PMCID: PMC3713512          DOI: 10.1016/j.jclinepi.2013.02.014

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  25 in total

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10.  The effects of normal as compared with low hematocrit values in patients with cardiac disease who are receiving hemodialysis and epoetin.

Authors:  A Besarab; W K Bolton; J K Browne; J C Egrie; A R Nissenson; D M Okamoto; S J Schwab; D A Goodkin
Journal:  N Engl J Med       Date:  1998-08-27       Impact factor: 91.245

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