Evidence map›Paper›PMID 37284525›Full record

ArticleInternational journal of statistics in medical research2022

The Use of Putative Dialysis Initiation Time in Comparative Outcomes of Patients with Advanced Chronic Kidney Disease: Methodological Aspects.

Danh V Nguyen, Esra Kurum, Damla Senturk

Open access · diamondAbstract read
In one paragraph

Article in International journal of statistics in medical research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 81% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 1 country.

Danh V NguyenDepartment of Medicine, University of California Irvine, Orange, CA 92868, USA.
Esra KurumDepartment of Statistics, University of California, Riverside, CA 92521, USA.
Damla SenturkDepartment of Biostatistics, University of California, Los Angeles, CA 90095, USA.
University of California, Irvine · USUniversity of California, Los Angeles · USUniversity of California, Riverside · US

Funding

Multilevel Time-Dynamic Modeling of Hospitalization and Survival in Patients on DialysisR01DK092232 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI KURUM, ESRA, NGUYEN, DANH V · 2011 to 2025
$4.9M
NIDDK NIH HHS R01 DK092232
6 · The paper itself

Abstract

The latest data from the United States Renal Data Systems show over 134,000 individuals with end-stage kidney disease (ESKD) starting dialysis in the year 2019. ESKD patients on dialysis, the default treatment strategy, have high mortality and hospitalization, especially in the first year of dialysis. An alternative treatment strategy is (non-dialysis) conservative management (CM). The relative effectiveness of CM with respect to various patient outcomes, including survival, hospitalization, and health-related quality of life among others, especially in elderly ESKD or advanced chronic kidney disease patients with serious comorbidities, is an active area of research. A technical challenge inherent in comparing patient outcomes between CM and dialysis patient groups is that the start of follow-up time is "not defined" for patients on CM because they do not initiate dialysis. One solution is the use of putative dialysis initiation (PDI) time. In this work, we examine the validity of the use of PDI time to determine the start of follow-up for longitudinal retrospective and prospective cohort studies involving CM. We propose and assess the efficacy of estimating PDI time using linear mixed effects model of kidney function decline over time via simulation studies. We also illustrate how the estimated PDI time can be used to effectively estimate the survival distribution.

Indexed as

Chronic kidney diseasedialysisend-stage kidney diseaselinear mixed effects modelpropensity scoresurvival

Identifiers

PMID37284525
PMCPMC10241465
OpenAlexW4309287728

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.