Observational studyMedicine2017
Explaining trends and variation in timing of dialysis initiation in the United States.
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.
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.
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.
A Randomized Pilot Study of Hemodialysis Initiation Comparing Twice-Weekly Hemodialysis Plus Dialysis-Sparing Therapy Versus Thrice-Weekly Hemodialysis (The TWOPLUS-HD Trial)
Who cites it
14 citing papers in PubMed, 22 citations in OpenAlex.
- Association Between the Publication of the Initiating Dialysis Early and Late Trial and the Timing of Dialysis Initiation in Canada.JAMA internal medicine · 2019Trial
- Article
- Article
- Dialysis for older adults: why should the targets be different?Journal of nephrology · 2024Review
- Geographic Dialysis Facility Density and Early Dialysis Initiation.JAMA network open · 2024Article
- Physician Variation and the Impact of Payment Model in Cardiac Imaging.Journal of the American Heart Association · 2023Article
- Chronic hemodialysis: Evaluation of dialysis adequacy and mortality.Annals of medicine and surgery (2012) · 2022Article
- Role of post-transplant graft scintigraphy in kidney donation after circulatory death.Frontiers in transplantation · 2022Article
- Association between the risk of death and serum calcium, phosphate, and intact parathyroid hormone levels in older patients undergoing maintenance hemodialysis: a cohort study in Beijing.Therapeutic advances in endocrinology and metabolism · 2021Article
- Narrative Review of Incremental Hemodialysis.Kidney international reports · 2020Review
- Article
- Predicting Residual Function in Hemodialysis and Hemodiafiltration-A Population Kinetic, Decision Analytic Approach.Journal of clinical medicine · 2019Article
- Lab-based and diagnosis-based chronic kidney disease recognition and staging concordance.BMC nephrology · 2019Article
- Chinese Herbal Medicine Improves the Long-Term Survival Rate of Patients With Chronic Kidney Disease in Taiwan: A Nationwide Retrospective Population-Based Cohort Study.Frontiers in pharmacology · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
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.
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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.