The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Vascular Access and All-Cause Mortality: A Propensity Score Analysis
Abstract
The native arteriovenous fistula (AVF) is the preferred vascular access because of its longevity and its lower rates of infection and intervention. Recent studies suggest that the AVF may offer a survival advantage. Because these data were derived from observational studies, they are prone to potential bias. The use of propensity scores offers an additional method to reduce bias resulting from nonrandomized treatment assignment. Adult (age 18 yr or more) patients who commenced hemodialysis in Australia and New Zealand on April 1, 1999, until March 31, 2002, were studied by using the Australian and New Zealand Dialysis and Transplant Association (ANZDATA) Registry. Cox regression was used to determine the effect of access type on total mortality. Propensity scores were calculated and used both as a controlling variable in the multivariable model and to construct matched cohorts. The catheter analysis was stratified by dialysis duration at entry to ANZDATA to satisfy the proportional-hazard assumption. There were 612 deaths in 3749 patients (median follow-up, 1.07 yr). After adjustment for confounding factors and propensity scores, catheter use was predictive of mortality. Patients with arteriovenous grafts (AVG) also had a significantly increased risk of death. Effect estimates were also consistent in the smaller propensity score-matched cohorts. Both AVG and catheter use in incident hemodialysis patients are associated with significant excess of total mortality. Reducing catheter use and increasing the proportion of patients commencing hemodialysis with a mature AVF remain important clinical objectives.
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Partial residuals for the proportional hazards regression model
SCHOENFELD, D. (1982) · Biometrika · doi:10.1093/biomet/69.1.239 · Cited by 3,111
Cited by
Pisoni, R. L., Zepel, L., Port, F. K., & Robinson, B. M. (2015) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2014.12.014 · Cited by 329
Mining Electronic Health Records (EHRs): A Survey
Yadav, P., Steinbach, M., Kumar, V., & Simon, G. (2018) · ACM Computing Surveys · doi:10.1145/3127881 · Cited by 299
Johnson, D. W., van Eps, C., Mudge, D. W., Wiggins, K. J., Armstrong, K., Hawley, C. M., Campbell, S. B., Isbel, N. M., Nimmo, G. R., & Gibbs, H. (2005) · Journal of the American Society of Nephrology · doi:10.1681/asn.2004110997 · Cited by 162
Patients’ Perspectives on Hemodialysis Vascular Access: A Systematic Review of Qualitative Studies
Casey, J. R., Hanson, C. S., Winkelmayer, W. C., Craig, J. C., Palmer, S., Strippoli, G. F. M., & Tong, A. (2014) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2014.06.024 · Cited by 159
Xi, W., Harwood, L., Diamant, M. J., Brown, J. B., Gallo, K., Sontrop, J. M., MacNab, J. J., & Moist, L. M. (2011) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gfr055 · Cited by 131
Metadata
- Authors
- Polkinghorne, K. R., McDonald, S. P., Atkins, R. C., & Kerr, P. G.
- Venue
- Journal of the American Society of Nephrology
- Published
- 2004-02
- Volume
- 15
- Issue
- 2
- Pages
- 477-486
- ISSN
- 1046-6673 (ISSN-L)
- OpenAlex
- W2138678834
- Cited by
- 430
- References
- 2
- FWCI
- 16.85
- Type
- journal article
- Language
- en
- Open access
- closed
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- Polkinghorne, K. R., McDonald, S. P., Atkins, R. C., & Kerr, P. G. (2004). Vascular Access and All-Cause Mortality: A Propensity Score Analysis. Journal of the American Society of Nephrology. https://doi.org/10.1097/01.asn.0000109668.05157.05
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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