Trial reportTransactions of the American Clinical and Climatological Association2011
Consequences of frequent hemodialysis: comparison to conventional hemodialysis and transplantation.
Trial report in Transactions of the American Clinical and Climatological Association, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
10 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Interventions for fatigue in people with kidney failure requiring dialysis.The Cochrane database of systematic reviews · 2023Pooled it
- Home versus in-centre haemodialysis for end-stage kidney disease.The Cochrane database of systematic reviews · 2014Pooled it
- Article
- Cultivating Innovative, Pragmatic, Randomized Controlled Registry Trials Embedded in Hemodialysis Care: Conference Proceeding From Gardener's Grove 2023.Canadian journal of kidney health and disease · 2025Article
- Article
- Detailing Protein-Bound Uremic Toxin Interaction Mechanisms with Human Serum Albumin in the Pursuit of Designing Competitive Binders.International journal of molecular sciences · 2023Review
- Systematic Surgical Assessment of Deceased-Donor Kidneys as a Predictor of Short-Term Transplant Outcomes.European surgical research. Europaische chirurgische Forschung. Recherches chirurgicales europeennes · 2019Article
- Data and knowledge standards for learning health: A population management example using chronic kidney disease.Learning health systems · 2018Article
- Worsening calcification propensity precedes all-cause and cardiovascular mortality in haemodialyzed patients.Scientific reports · 2017Article
- French patients on daily hemodialysis: clinical characteristics and treatment trajectories.BMC nephrology · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The average life expectancy of a person on hemodialysis is less than 3 years and hasn't changed in 20 years. The Hemodialysis (HEMO) trial, a randomized trial to determine whether increasing urea removal to the maximum practical degree through a 3-times-a-week schedule, showed no difference in mortality in the treatment and control groups. Investigators speculated that the increment in functional waste removal in the HEMO study was too small to produce improvements in mortality. To test this hypothesis, the NIDDK funded the Frequent Hemodialysis Network, a consortium of centers testing whether patients randomized to intensive dialysis would demonstrate improved (reduced) left ventricular LV mass and quality of life. The trial has two arms: the daily (in-center) and the home (nocturnal) arms. Each arm has patients randomized to conventional dialysis or 6 days (or nights) of dialysis. The results of the HEMO trial will be reported in the fall of 2010.
Indexed as
Identifiers
21686215PMC3116337What OpenQuestion holds
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.