Evidence map›Paper›PMID 24408114›Full record

Trial reportClinical journal of the American Society of Nephrology : CJASN2014

A randomized trial of hemodiafiltration and change in cardiovascular parameters.

Irina M Mostovaya, Michiel L Bots, Marinus A van den Dorpel, Muriel P C Grooteman, Otto Kamp, Renée Levesque, Piet M Ter Wee, Menso J Nubé, Peter J Blankestijn

Open access · bronzeAbstract readComparative StudyMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Clinical journal of the American Society of Nephrology : CJASN, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
3.7field-weighted citation impact, top 7% 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.

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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 40 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Article
  6. Observational
  7. CONVINCE in the context of existing evidence on haemodiafiltration.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2022
    Article
  8. Article
  9. Article
  10. Clinical evidence on haemodiafiltration.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2018
    Review
  11. Arterial stiffness in end-stage renal disease-pathogenesis, clinical epidemiology, and therapeutic potentials.Hypertension research : official journal of the Japanese Society of Hypertension · 2018
    Review
  12. Article
  13. Review
  14. Article
  15. 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

9 authors at 5 institutions in 3 countries.

Irina M MostovayaDepartment of Nephrology and, †Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands;, ‡Department of Internal Medicine, Maasstad Hospital, Rotterdam, The Netherlands;, §Department of Nephrology,, ‖Institute for Cardiovascular Research, and, ¶Department of Cardiology, VU Medical Center, Amsterdam, The Netherlands, *Department of Nephrology, Centre Hospitalier de l'Université de Montréal, St. Luc Hospital, Montréal, Québec, Canada.
Michiel L Bots
Marinus A van den Dorpel
Muriel P C Grooteman
Otto Kamp
Renée Levesque
Piet M Ter Wee
Menso J Nubé
Peter J Blankestijn
Cardiovascular Institute Hospital · JPAmsterdam UMC Location VUmc · NLMaasstad Ziekenhuis · NLUniversity Hospital Heidelberg · DEUniversity Medical Center Utrecht · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveIncreased left ventricular mass (LVM), low ventricular ejection fraction (EF), and high pulse-wave velocity (PWV) relate to overall and cardiovascular mortality in patients with ESRD. The aim of this study was to determine the effect of online hemodiafiltration (HDF) versus low-flux hemodialysis (HD) on LVM, EF, and PWV. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: Echocardiography was used to assess LVM and EF in 342 patients in the CONvective TRAnsport STudy followed for up to 4 years. PWV was measured in 189 patients for up to 3 years. Effect of HDF versus HD on LVM, EF, and PWV was evaluated using linear mixed models.

resultsPatients had a mean age of 63 years, and 61% were male. At baseline, median LVM was 227 g (interquartile range [IQR], 183-279 g), and median EF was 65% (IQR, 55%-72%). Median PWV was 9.8 m/s (IQR, 7.5-12.0 m/s). There was no significant difference between the HDF and HD treatment groups in rate of change in LVM (HDF: change, -0.9 g/yr [95% confidence interval (95% CI), -8.9 to 7.7 g]; HD: change, 12.5 g/yr [95% CI, -3.0 to 27.5 g]; P for difference=0.13), EF (HDF: change, -0.3%/yr [95% CI, -2.3% to 1.8%]; HD: change, -3.4%/yr [95% CI, -5.9% to -0.9%]; P=0.17), or PWV (HDF: change, -0.0 m/s per year [95% CI, -0.4 to 0.4 m/s); HD: change, 0.0 m/s per year [95% CI, -0.3 to 0.2 m/s]; P=0.89). No differences in rate of change between treatment groups were observed for subgroups of age, sex, residual kidney function, dialysis vintage, history of cardiovascular disease, diabetes, or convection volume.

conclusionsTreatment with online HDF did not affect changes in LVM, EF, or PWV over time compared with HD.

Indexed as

HemodiafiltrationRenal DialysisAgedChi-Square DistributionEchocardiographyFemaleHumansHypertrophy, Left VentricularKidney Failure, ChronicLinear ModelsMaleMiddle AgedNetherlandsPredictive Value of TestsPulse Wave AnalysisStroke Volumecardiovascularejection fractionhemodialysisleft ventricular masspulse-wave velocity

Identifiers

PMID24408114
PMCPMC3944767
OpenAlexW2148646288

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.