Publications

print share
Version HistoryVersion History

Title

Dose of Hemodialysis and Survival: A Marginal Structural Model Analysis (American Journal of Nephrology)

Publication Topics

Chronic Condition Prevalence; Diabetes

Publication Type

Journal Article

Publication Date

2014-04-26T07:00:00Z

Author 1

<a onclick="OpenPopUpPage('http://healthpolicy.ucla.edu/_layouts/listform.aspx?PageType=4&ListId={7AAD61FA-4BCB-48C0-B0B7-87AFDC3673EF}&ID=1344&RootFolder=*', RefreshPage); return false;" href="http://healthpolicy.ucla.edu/_layouts/listform.aspx?PageType=4&ListId={7AAD61FA-4BCB-48C0-B0B7-87AFDC3673EF}&ID=1344&RootFolder=*">Paungpaga Lertdumrongluk</a>

Author 2

<a onclick="OpenPopUpPage('http://healthpolicy.ucla.edu/_layouts/listform.aspx?PageType=4&ListId={7AAD61FA-4BCB-48C0-B0B7-87AFDC3673EF}&ID=1345&RootFolder=*', RefreshPage); return false;" href="http://healthpolicy.ucla.edu/_layouts/listform.aspx?PageType=4&ListId={7AAD61FA-4BCB-48C0-B0B7-87AFDC3673EF}&ID=1345&RootFolder=*">Elani Streja</a>

Author 3

<a onclick="OpenPopUpPage('http://healthpolicy.ucla.edu/_layouts/listform.aspx?PageType=4&ListId={7AAD61FA-4BCB-48C0-B0B7-87AFDC3673EF}&ID=79&RootFolder=*', RefreshPage); return false;" href="http://healthpolicy.ucla.edu/_layouts/listform.aspx?PageType=4&ListId={7AAD61FA-4BCB-48C0-B0B7-87AFDC3673EF}&ID=79&RootFolder=*">Onyebuchi A. Arah, MD, PhD, MPH</a>

Author 4

<a onclick="OpenPopUpPage('http://healthpolicy.ucla.edu/_layouts/listform.aspx?PageType=4&ListId={7AAD61FA-4BCB-48C0-B0B7-87AFDC3673EF}&ID=151&RootFolder=*', RefreshPage); return false;" href="http://healthpolicy.ucla.edu/_layouts/listform.aspx?PageType=4&ListId={7AAD61FA-4BCB-48C0-B0B7-87AFDC3673EF}&ID=151&RootFolder=*">et al</a>

Author 5

Author 6

Author 7

Author 8

Author 9

Author 10

Author 11

Author 12

Author 13

Author 14

Abstract

​Observational studies have consistently demonstrated the survival benefits of a greater dialysis dose in maintenance hemodialysis (MHD) patients, whereas randomized controlled trials have shown conflicting results. The possible causal impact of dialysis dose on mortality needs to be investigated using rich cohort data analyzed with novel statistical methods such as marginal structural models (MSMs) that account for time-varying confounding and exposure.

The authors quantified the effect of delivered dose of hemodialysis (HD) on mortality risk in a contemporary cohort of 68,110 patients undergoing HD three times weekly. The study compared conventional Cox proportional hazard and MSM survival analyses, accounting for time-varying confounding by applying longitudinally modeled inverse-probability-of-dialysis-dose weights to each observation.
 
The authors concluded that higher HD doses were robustly associated with greater survival in MSM analyses that more fully and appropriately accounted for time-varying confounding.
 

Thumbnail

Article 1

Journal Article: Dose of Hemodialysis and Survival: A Marginal Structural Model Analysis

Article 2

Article 3

Article 4

Article 5

Article 6

Article 7

Article 8

Article 9

Article 10

Article 11

Article 12

Press Release

Related Link 1

Related Link 2

Related Link 3

Related Link 4

Related Link 5

Related Link 6

Related Link 7

Related Link 8

Related Link 9

Related Link 10

Related Link 11

Related Link 12

Related Link 13

Related Link 14

Related Link 15

Related Link 16

Version: 2.0
Created at 6/20/2016 2:56 PM by i:0#.f|uclachissqlmembershipprovider|celeste
Last modified at 6/20/2016 2:57 PM by i:0#.f|uclachissqlmembershipprovider|celeste