Evidence map›Paper›PMID 33044519›Full record

ArticleJAMA internal medicine2020

Implication of Trends in Timing of Dialysis Initiation for Incidence of End-stage Kidney Disease.

Chi-Yuan Hsu, Rishi V Parikh, Leonid N Pravoverov, Sijie Zheng, David V Glidden, Thida C Tan, Alan S Go

Open access · greenAbstract read
In one paragraph

Article in JAMA internal medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

12 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
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  4. Review
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  6. Article
  7. Utility of the Kidney Failure Risk Equation and Estimated GFR for Estimating Time to Kidney Failure in Advanced CKD.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2023
    Article
  8. Article
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  12. Observational
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Chi-Yuan HsuDivision of Nephrology, Department of Medicine, University of California, San Francisco, San Francisco.
Rishi V ParikhDivision of Research, Kaiser Permanente Northern California, Oakland.
Leonid N PravoverovDepartment of Nephrology, Kaiser Permanente Oakland Medical Center, Oakland, California.
Sijie ZhengDivision of Research, Kaiser Permanente Northern California, Oakland.
David V GliddenDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco.
Thida C TanDivision of Research, Kaiser Permanente Northern California, Oakland.
Alan S GoDivision of Nephrology, Department of Medicine, University of California, San Francisco, San Francisco.
Kaiser Permanente · USUniversity of California, San Francisco · USKaiser Permanente Oakland Medical Center · US

Funding

Patient Oriented Research in Kidney DiseaseK24DK092291 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HSU, CHI-YUAN · 2011 to 2020
$1.2M
NIDDK NIH HHS K24 DK092291
6 · The paper itself

Abstract

Importance: In the last 2 decades, there have been notable changes in the level of estimated glomerular filtration rate (eGFR) at which patients initiate long-term dialysis in the US and around the world. How changes over time in the likelihood of dialysis initiation at any given eGFR level in at-risk patients are associated with the population burden of end-stage kidney disease (ESKD) has not been not well defined. Objective: To examine temporal trends in long-term dialysis initiation by level of eGFR and to quantify how these patterns are associated with the number of patients with ESKD. Design, Setting, and Participants: Retrospective cohort study analyzing data obtained from a large, integrated health care delivery system in Northern California from 2001 to 2018 in successive 3-year intervals. Included individuals, ranging in number from as few as 983 122 (2001-2003) to as many as 1 844 317 (2016-2018), were adult members with 1 or more outpatient serum creatinine levels determined in the prior year. Main Outcomes and Measures: One-year risk of initiating long-term dialysis stratified by eGFR levels. Multivariable logistic regression was performed to assess temporal trends in each 3-year cohort with adjustment for age, sex, race, and diabetes status. The potential change in dialysis initiation in the final cohort (2016-2018) was estimated using the relative difference between the standardized risks in the initial cohort (2001-2003) and the final cohort. Results: In the initial 3-year cohort, the mean (SD) age was 55.4 (16.3) years, 55.0% were women, and the prevalence of diabetes was 14.9%. These characteristics, as well as the distribution of index eGFR, were stable across the study period. The likelihood of receiving dialysis at eGFR levels of 10 to 24 mL/min/1.73 m2 generally increased over time. For example, the 1-year odds of initiating dialysis increased for every 3-year interval by 5.2% (adjusted odds ratio, 1.052; 95% CI, 1.004-1.102) among adults with an index eGFR of 20 to 24 mL/min/1.73 m2, by 6.6% (adjusted odds ratio, 1.066; 95% CI, 1.007-1.130) among adults with an eGFR of 16 to 17 mL/min/1.73 m2, and by 5.3% (adjusted odds ratio, 1.053; 95% CI, 1.008-1.100) among adults with an eGFR of 10 to 13 mL/min/1.73 m2, adjusting for age, sex, race, and diabetes. The incidence of new cases of ESKD was estimated to have potentially been 16% (95% CI, 13%-18%) lower if there were no changes in system-level practice patterns or other factors besides timing of initiating long-term dialysis from the initial 3-year interval (2001-2003) to the final interval (2016-2018) assessed in this study. Conclusions and Relevance: The present results underscore the importance the timing of initiating long-term dialysis has on the size of the population of individuals with ESKD.

Indexed as

Severity of Illness IndexAdultAgedAge FactorsCohort StudiesDisease ProgressionFemaleGlomerular Filtration RateHumansIncidenceKidney Failure, ChronicMaleMiddle AgedRenal DialysisRetrospective StudiesTime Factors

Identifiers

PMID33044519
PMCPMC7551228
OpenAlexW3092180809

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.