Evidence map›Paper›PMID 25883196›Full record

Observational studyNephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association2015

Predictors of treatment with dialysis modalities in observational studies for comparative effectiveness research.

Sooraj Kuttykrishnan, Kamyar Kalantar-Zadeh, Onyebuchi A Arah, Alfred K Cheung, Steve Brunelli, Patrick J Heagerty, Ronit Katz, Miklos Z Molnar, Allen Nissenson, Vanessa Ravel and 3 more

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
–field-weighted citation impact
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

37 citing papers in PubMed.

  1. Article
  2. Article
  3. Association of serum globulin with all-cause mortality in incident hemodialysis patients.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2022
    Article
  4. Article
  5. Eosinophil count and mortality risk in incident hemodialysis patients.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2020
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Observational
  11. Impact of Obesity on Modality Longevity, Residual Kidney Function, Peritonitis, and Survival Among Incident Peritoneal Dialysis Patients.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2018
    Article
  12. Weekly Standard Kt/VClinical journal of the American Society of Nephrology : CJASN · 2018
    Article
  13. Prediction equation for calculating residual kidney urea clearance using urine collections for different hemodialysis treatment frequencies and interdialytic intervals.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2018
    Article
  14. Changes in urine volume and serum albumin in incident hemodialysis patients.Hemodialysis international. International Symposium on Home Hemodialysis · 2017
    Article
  15. Serum uric acid, protein intake and mortality in hemodialysis patients.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2017
    Article
  16. Sex Differences in Hospitalizations with Maintenance Hemodialysis.Journal of the American Society of Nephrology : JASN · 2017
    Article
  17. Association of body weight changes with mortality in incident hemodialysis patients.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2017
    Article
  18. Serum sodium and mortality in a national peritoneal dialysis cohort.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2017
    Observational
  19. Association of serum vitamin B12 and folate with mortality in incident hemodialysis patients.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2017
    Article
  20. Development and Validation of a Novel Laboratory-Specific Correction Equation for Total Serum Calcium and Its Association With Mortality Among Hemodialysis Patients.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2017
    Article
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

13 authors.

Sooraj KuttykrishnanKidney Research Institute, Division of Nephrology, University of Washington, Seattle, WA, USA.
Kamyar Kalantar-ZadehUniversity of California Irvine, Irvine, CA, USA.
Onyebuchi A ArahDepartment of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA.
Alfred K CheungDivision of Nephrology & Hypertension, University of Utah, Salt Lake City, UT, USA.
Steve BrunelliDaVita Inc., El Segundo, CA, USA Division of Nephrology, David Geffen School of Medicine at University of California Los Angeles, Los Angeles, CA, USA.
Patrick J HeagertySchool of Public Health, University of Washington, Seattle, WA, USA.
Ronit KatzKidney Research Institute, Division of Nephrology, University of Washington, Seattle, WA, USA.
Miklos Z MolnarDivision of Nephrology, University of Tennessee Health Sciences Center, Memphis, TN, USA.
Allen NissensonDaVita Inc., El Segundo, CA, USA Division of Nephrology, David Geffen School of Medicine at University of California Los Angeles, Los Angeles, CA, USA.
Vanessa RavelUniversity of California Irvine, Irvine, CA, USA.
Elani StrejaUniversity of California Irvine, Irvine, CA, USA.
Jonathan HimmelfarbKidney Research Institute, Division of Nephrology, University of Washington, Seattle, WA, USA.
Rajnish MehrotraUniversity of California Irvine, Irvine, CA, USA.

Funding

Vector and Transgenic Mouse CoreP30DK017047 · NIDDK · UNIVERSITY OF WASHINGTON · PI Julie Mathieu · 1986 to 2026
$41.4M
University of California Health Participation in the National COVID Cohort Collaborative (N3C)UL1TR001414 · NCATS · UNIVERSITY OF CALIFORNIA-IRVINE · PI COOPER, DAN M, VILAIN, ERIC J. · 2015 to 2023
$35.1M
Comparative Effectiveness of Dialysis ModalitiesR01DK095668 · NIDDK · UNIVERSITY OF WASHINGTON · PI KALANTAR-ZADEH, KAMYAR, MEHROTRA, RAJNISH · 2012 to 2014
$1.0M
Utility of Early Phase PIB as a Surrogate for Cerebral Blood Flow MeasuresR03AG047306 · NIA · UNIVERSITY OF IOWA · PI PONTO, LAURA LYNN BOLES, SCHULTZ, SUSAN K. · 2014 to 2015
$149k
NCATS NIH HHS UL1 TR001414NIA NIH HHS R21AG047306NIDDK NIH HHS P30 DK017047NIDDK NIH HHS R01DK95668
6 · The paper itself

Abstract

backgroundThe Institute of Medicine has identified the comparative effectiveness of renal replacement therapies as a kidney-related topic among the top 100 national priorities. Given the importance of ensuring internal and external validity, the goal of this study was to identify potential sources of bias in observational studies that compare outcomes with different dialysis modalities.

methodsThis observational cohort study used data from the electronic medical records of all patients that started maintenance dialysis in the calendar years 2007-2011 and underwent treatment for at least 60 days in any of the 2217 facilities operated by DaVita Inc. Each patient was assigned one of six dialysis modalities for each 91-day period from the date of first dialysis (thrice weekly in-center hemodialysis (HD), peritoneal dialysis (PD), less-frequent HD, home HD, frequent HD and nocturnal in-center HD).

resultsOf the 162 644 patients, 18% underwent treatment with a modality other than HD for at least one 91-day period. Except for PD, patients started treatment with alternative modalities after variable lengths of treatment with HD; the time until a change in modality was shortest for less-frequent HD (median time = 6 months) and longest for frequent HD (median time = 15 months). Between 30 and 78% of patients transferred to another dialysis facility prior to change in modality. Finally, there were significant differences in baseline and time-varying clinical characteristics associated with dialysis modality.

conclusionsThis analysis identified numerous potential sources of bias in studies of the comparative effectiveness of dialysis modalities.

Indexed as

Comparative Effectiveness ResearchAdultCohort StudiesFemaleHumansKidney Failure, ChronicMalePrognosisRenal DialysisUnited Statesbiascomparative effectiveness researchend-stage renal diseasehemodialysisperitoneal dialysis

Identifiers

PMID25883196
PMCPMC4560036

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.