Evidence map›Paper›PMID 25496294›Full record

Trial reportTrials2014

Ultrafiltration biofeedback guided by blood volume monitoring to reduce intradialytic hypotensive episodes in hemodialysis: study protocol for a randomized controlled trial.

Kelvin C W Leung, Robert R Quinn, Pietro Ravani, Jennifer M MacRae

Registry-linked trialOpen access · goldAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Trials, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01988181 (Blood Volume Monitoring Guided Ultrafiltration Biofeedback on Reduction of Intra-dialytic Hypotensive Episodes in Hemodialysis), which is not on this map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 18% 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.

NCT01988181 nacompletednot on this map

Blood Volume Monitoring Guided Ultrafiltration Biofeedback on Reduction of Intra-dialytic Hypotensive Episodes in Hemodialysis: A Randomized Cross Over Study

TypeinterventionalSponsorUniversity of CalgaryRan2014 to 2015Enrolled34ConditionsIntradialytic Hypotension, End Stage Renal Failure on DialysisArmsBVM-UF biofeedback, Fresenius 5008 HD machine (Fresenius Medical Care, Bad Homburg, Germany)
3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Review
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

4 authors at 1 institution in 1 country.

Kelvin C W LeungDepartment of Medicine, University of Calgary, Calgary, Canada. kcwleung@ucalgary.ca.
Robert R Quinn
Pietro Ravani
Jennifer M MacRae
University of Calgary · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFluid removal during dialysis, also known as ultrafiltration (UF), leads to intradialytic hypotension (IDH) in a significant number of patients treated with hemodialysis (HD) and is associated with an increase in morbidity and mortality. At present, there are no accepted standards of practice for the prevention or treatment of IDH. Relative blood volume monitoring (BVM) is based on the concept that the hematocrit increases with UF, relative to the patient's baseline hematocrit. The use of BVM biofeedback, whereby the HD machine automatically adjusts the rate of UF based on the relative blood volume, has been proposed for the prevention of IDH. METHODS/

designThis is a 22-week randomized crossover trial. Participants undergo a 4-week run-in phase to standardize medications and dialysis prescriptions. Subsequently, participants are randomized to standard HD or to BVM biofeedback for a period of 8 weeks followed by a 2-week washout phase before crossing over. The dialysis prescription remains identical for both arms. The primary outcome is the frequency of symptomatic IDH as defined by an abrupt drop in the systolic blood pressure of ≥ 20 mm Hg accompanied by headache, dizziness, loss of consciousness, thirst, dyspnea, angina, muscle cramps or vomiting. Secondary outcomes include the number of symptomatic IDH episodes and any reduction in IDH episodes, nursing interventions, dialysis adequacy, total body water, extra- and intracellular fluid volumes, brain natriuretic peptide and cardiac troponin levels, blood pressure, antihypertensive medication use, patient symptoms and quality of life. DISCUSSION: Our study will determine the impact of using BVM biofeedback to prevent IDH and other serious adverse events in susceptible patients.

trial registrationClinicaltrials.gov NCT01988181 (6 November 2013).

Indexed as

Biofeedback, PsychologyBlood VolumeBlood Volume DeterminationResearch DesignAlbertaAutomationClinical ProtocolsCross-Over StudiesEquipment DesignHumansHypotensionPredictive Value of TestsRenal DialysisRisk FactorsTime FactorsTreatment Outcome

Identifiers

PMID25496294
PMCPMC4295273
OpenAlexW2113066823

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.