Evidence map›Paper›PMID 28514305›Full record

Observational studyMedicine2017

Explaining trends and variation in timing of dialysis initiation in the United States.

Yun Li, Yan Jin, Alissa Kapke, Jeffrey Pearson, Rajiv Saran, Friedrich K Port, Bruce M Robinson

Registry-linked trialOpen access · goldAbstract readObservational Study
In one paragraph

Observational study in Medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03740048 (A Randomized Pilot Study of Hemodialysis Initiation Comparing Twice-Weekly Hemodialysis Plus Dialysis-Sparing Therapy Versus Thrice-Weekly Hemodialysis), which is not on this map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.2field-weighted citation impact, top 12% 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.

NCT03740048 phase3completednot on this mapstarted 2019, after this paper: background citation

A Randomized Pilot Study of Hemodialysis Initiation Comparing Twice-Weekly Hemodialysis Plus Dialysis-Sparing Therapy Versus Thrice-Weekly Hemodialysis (The TWOPLUS-HD Trial)

TypeinterventionalSponsorWake Forest University Health SciencesRan2019 to 2021Enrolled51ConditionsEnd Stage Renal Failure on DialysisArmsHemodialysis, Patiromer Oral Product
3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 22 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Article
  6. Physician Variation and the Impact of Payment Model in Cardiac Imaging.Journal of the American Heart Association · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Narrative Review of Incremental Hemodialysis.Kidney international reports · 2020
    Review
  11. Article
  12. Article
  13. Article
  14. 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

7 authors at 2 institutions in 1 country.

Yun LiArbor Research Collaborative for Health University of Michigan, Ann Arbor, MI, USA.
Yan Jin
Alissa Kapke
Jeffrey Pearson
Rajiv Saran
Friedrich K Port
Bruce M Robinson
Arbor Research Collaborative for Health · USUniversity of Michigan–Ann Arbor · US

Funding

NLM NIH HHS HHSN276201400001C
6 · The paper itself

Abstract

The United States Renal Data System (USRDS) registry of end-stage renal disease has often been used to study the timing of dialysis initiation, measured by estimated glomerular filtration rate (eGFR) at dialysis initiation. We conducted an observational study and examined how well variables in the USRDS database explain the trends and variation in eGFR at dialysis initiation.We identified 971,481 patients who initiated dialysis between 1995 and 2012 in the USRDS registry.The mean eGFR at dialysis initiation monotonically rose from 7.7 in 1995 to 11.1 in 2009, and then leveled off to 10.9 mL/min/1.73 m in 2012. The trend of rising, then leveling off was similar across all subgroups studied. Substantial variation in eGFR at dialysis initiation was observed, with standard deviation of 4.38 (95% CI: 2.0-18.4). A total of 11.4% of the total variation occurred across physicians and 88.6% within physicians. Adjustment for measured factors only modestly decreased the total variation. Of the total variance, 10.7% was explained by measured patient-level variables and 1.2% by measured physician and other factors, while 9.2% of physician-level variation and 78.9% of patient-level variation remained unexplained. The extent of variation explained by measured variables was similar over the entire study period.The finding that the majority of variation in eGFR at dialysis initiation is unexplained by measured variables casts doubt on how well eGFR serves as a measure for "timing" of dialysis initiation, and it indicates the need to collect more focused data to gain understanding of factors that affect timing of dialysis initiation in the US.

Indexed as

AdolescentAdultAgedAged, 80 and overFemaleGlomerular Filtration RateHumansKidney Failure, ChronicMaleMiddle AgedRegistriesRenal DialysisTime-to-TreatmentUnited StatesYoung Adult

Identifiers

PMID28514305
PMCPMC5440142
OpenAlexW2614422472

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.