Evidence map›Paper›PMID 24508475›Full record

Trial reportAmerican journal of kidney diseases : the official journal of the National Kidney Foundation2014

Comparative effectiveness of early versus conventional timing of dialysis initiation in advanced CKD.

Deidra C Crews, Julia J Scialla, L Ebony Boulware, Sankar D Navaneethan, Joseph V Nally, Xiaobo Liu, Susana Arrigain, Jesse D Schold, Patti L Ephraim, Stacey E Jolly and 8 more

2 registry-linked trialsOpen access · greenAbstract readComparative StudyRandomized Controlled Trial
In one paragraph

Trial report in American journal of kidney diseases : the official journal of the National Kidney Foundation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 9% 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.

NCT02423655 naunknown statusnot on this mapstarted 2015, after this paper: background citation

A Randomized, Controlled Trial to Evaluate Routine and Deferred Dialysis Initiation in Chinese Population

TypeinterventionalSponsorPeking University People's HospitalRan2015 to 2020Enrolled1,049ConditionsChronic Kidney DiseaseArmsAlgorithm for deferred dialysis intervention, Algorithm for routine dialysis intervention
NCT03385902 nacompletednot on this mapstarted 2018, after this paper: background citation

Impact on Mortality of Timing of Dialysis Initiation in Patients With End-stage Renal Disease by a Novel Assessment Based on Fuzzy Mathematics

TypeinterventionalSponsorThe First Affiliated Hospital of Dalian Medical UniversityRan2018 to 2024Enrolled388ConditionsChronic Kidney DiseaseArmsoptimal start time, late start time
3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.

  1. Pooled it
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  5. Observational
  6. Article
  7. Review
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  10. Higher eGFR at Dialysis Initiation Is Not Associated with a Survival Benefit in Children.Journal of the American Society of Nephrology : JASN · 2019
    Article
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  14. Starting Renal Replacement Therapy: Is It About Time?American journal of nephrology · 2019
    Observational
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  18. Review
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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

18 authors at 8 institutions in 3 countries.

Deidra C CrewsDivision of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Medical Institutions, Baltimore, MD. Electronic address: dcrews1@jhmi.edu.
Julia J SciallaDivision of Nephrology and Hypertension, Department of Medicine, University of Miami Miller School of Medicine, Miami, FL.
L Ebony BoulwareWelch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Medical Institutions, Baltimore, MD; Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC.
Sankar D NavaneethanDepartment of Nephrology and Hypertension, Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH; Cleveland Clinic, Lerner College of Medicine of Case Western Reserve University, Cleveland, OH.
Joseph V NallyDepartment of Nephrology and Hypertension, Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH; Cleveland Clinic, Lerner College of Medicine of Case Western Reserve University, Cleveland, OH.
Xiaobo LiuDepartment of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH.
Susana ArrigainDepartment of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH.
Jesse D ScholdDepartment of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH.
Patti L EphraimWelch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Medical Institutions, Baltimore, MD; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Stacey E JollyDepartment of General Internal Medicine, Medicine Institute, Cleveland Clinic, Cleveland, OH.
Stephen M SozioDivision of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Medical Institutions, Baltimore, MD.
Wieneke M MichelsWelch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Medical Institutions, Baltimore, MD; Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Division of Nephrology, Department of Medicine, Academic Medical Center, Amsterdam, the Netherlands.
Dana C MiskulinDivision of Nephrology, Tufts University School of Medicine, Boston, MA.
Navdeep TangriDivision of Nephrology, Department of Medicine, Seven Oaks General Hospital, University of Manitoba, Winnipeg, Manitoba, Canada.
Tariq ShafiDivision of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Medical Institutions, Baltimore, MD.
Albert W WuDivision of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; Department of Health, Policy, and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD.
Karen Bandeen-RocheDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
DEcIDE Network Patient Outcomes in End Stage Renal Disease Study Investigators
Cleveland Clinic · USJohns Hopkins University · USJohns Hopkins Medicine · USCase Western Reserve University · USAcademic Medical Center · NLTufts University · USUniversity of Manitoba · CAUniversity of Miami · US

Funding

Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
Residual Kidney Function in ESRD: Measurements, Serum Markers and OutcomesK23DK083514 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI SHAFI, TARIQ · 2010 to 2014
$904k
Dietary Acid Load, Subclinical Acidosis and Outcomes in Chronic Kidney DiseaseK23DK095949 · NIDDK · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI SCIALLA, JULIA J · 2012 to 2016
$839k
Chronic Kidney Disease Knowledge and Awareness among American IndiansK23DK091363 · NIDDK · CLEVELAND CLINIC LERNER COM-CWRU · PI JOLLY, STACEY · 2011 to 2015
$796k
Race, Socioeconomic Status, Diet and Chronic Kidney DiseaseK23DK097184 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI CREWS, DEIDRA CANDICE · 2013 to 2016
$684k
NCATS NIH HHS UL1 TR001079NIDDK NIH HHS K23 DK083514NIDDK NIH HHS K23 DK091363NIDDK NIH HHS K23 DK095949NIDDK NIH HHS K23 DK097184PHS HHS HHSA290200500341I
6 · The paper itself

Abstract

backgroundPrevious observational studies examining outcomes associated with the timing of dialysis therapy initiation in the United States have often been limited by lead time and survivor bias. STUDY

designRetrospective cohort study comparing the effectiveness of early versus later (conventional) dialysis therapy initiation in advanced chronic kidney disease (CKD). The analysis used inverse probability weighting to account for an individual's contribution to different exposure groups over time in a pooled logistic regression model. Patients contributed risk to both exposure categories (early and later initiation) until there was a clear treatment strategy (ie, dialysis therapy was initiated early or estimated glomerular filtration rate [eGFR] decreased to <10mL/min/1.73m(2)). SETTING &

participantsPatients with CKD who had at least one face-to-face outpatient encounter with a Cleveland Clinic health care provider as of January 1, 2005, and at least 3 eGFRs in the range of 20-30mL/min/1.73m(2) measured at least 180 days apart. PREDICTORS: Timing of dialysis therapy initiation as determined using model-based interpolation of eGFR trajectories over time. Timing was defined as early (interpolated eGFR at dialysis therapy initiation≥10mL/min/1.73m(2)) or later (eGFR < 10mL/min/1.73m(2)) and was time-varying. OUTCOMES: Death from any cause occurring from the time that eGFR was equal to 20mL/min/1.73m(2) through September 15, 2009.

resultsThe study population consisted of 652 patients meeting inclusion criteria. Most (71.3%) of the study population did not initiate dialysis therapy during follow-up. Patients who did not initiate dialysis therapy (n=465) were older, more likely to be white, and had more favorable laboratory profiles than those who started dialysis therapy. Overall, 146 initiated dialysis early and 80 had eGFRs decrease to <10mL/min/1.73m(2). Many participants (n=426) were censored prior to attaining a clear treatment strategy and were considered undeclared. There was no statistically significant survival difference for the early compared with later initiation strategy (OR, 0.85; 95% CI, 0.65-1.11). LIMITATIONS: Interpolated eGFR, moderate sample size, and likely unmeasured confounders.

conclusionsIn patients with advanced CKD, timing of dialysis therapy initiation was not associated with mortality when accounting for lead time bias and survivor bias.

Indexed as

AgedDisease ProgressionFemaleFollow-Up StudiesGlomerular Filtration RateHumansMaleMiddle AgedRenal DialysisRenal Insufficiency, ChronicRetrospective StudiesSurvival RateTime FactorsTreatment OutcomeUnited Statesdecreased glomerular filtration rate (GFR)dialysis initiationearly-start dialysisend-stage renal disease (ESRD)Kidney disease trajectoryprognosisrenal disease progressionrenal replacement therapy (RRT)timing of dialysis

Identifiers

PMID24508475
PMCPMC4117406
OpenAlexW2011664546

What OpenQuestion holds

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Registered trials

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.