Evidence map›Paper›PMID 29621747›Full record

Observational studyAmerican journal of nephrology2018

Changes in Biomarker Profile and Left Ventricular Hypertrophy Regression: Results from the Frequent Hemodialysis Network Trials.

Christopher T Chan, George A Kaysen, Gerald J Beck, Minwei Li, Joan Lo, Michael V Rocco, Alan S Kliger, FHN Trials

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in American journal of nephrology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Interventions for fatigue in people with kidney failure requiring dialysis.The Cochrane database of systematic reviews · 2023
    Pooled it
  2. Review
  3. 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

8 authors.

Christopher T ChanUniversity Health Network, Toronto General Hospital, Toronto, Ontario, Canada.
George A KaysenUniversity of California Davis School of Medicine, Davis, California, USA.
Gerald J BeckCleveland Clinic, Cleveland, Ohio, USA.
Minwei LiCleveland Clinic, Cleveland, Ohio, USA.
Joan LoKaiser Permanente Northern California, Oakland, California, USA.
Michael V RoccoWake Forest School of Medicine, Winston-Salem, North Carolina, USA.
Alan S KligerYale New Haven Health System, New Haven, Connecticut, USA.
FHN Trials

Funding

Frequent Hemodialysis Network Data Coordinating CenterU01DK066597 · NIDDK · CLEVELAND CLINIC LERNER COM-CWRU · PI BECK, GERALD J · 2003 to 2010
$8.9M
Frequent Hemodialysis Network - West Coast ConsortiumU01DK066481 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHERTOW, GLENN MATTHEW · 2003 to 2010
$5.2M
The Short-Daily Hemodialysis Pilot StudyU01DK066579 · NIDDK · RENAL RESEARCH INSTITUTE, LLC · PI LEVIN, NATHAN W · 2003 to 2010
$5.0M
Frequent Hemodialysis Network (FHN) - Nocturnal Clinical Core ConsortiumU01DK066480 · NIDDK · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ROCCO, MICHAEL V · 2003 to 2010
$3.7M
ESRD Endocrinopathy and Daily DialysisR01DK076165 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI LO, JOAN C · 2010 to 2012
$659k
Pathways influencing left ventricular hypertrophy in hemodialysis patientsR01DK091288 · NIDDK · UNIVERSITY HEALTH NETWORK · PI CHAN, CHRISTOPHER T · 2011 to 2012
$495k
NIDDK NIH HHS R01 DK076165NIDDK NIH HHS R01 DK091288NIDDK NIH HHS U01 DK066480NIDDK NIH HHS U01 DK066481NIDDK NIH HHS U01 DK066579NIDDK NIH HHS U01 DK066597
6 · The paper itself

Abstract

backgroundRegression of left ventricular hypertrophy (LVH) is feasible with more frequent hemodialysis (HD). We aimed to ascertain pathways associated with regression of left ventricular mass (LVM) in patients enrolled in the Frequent HD Network (FHN) trials.

methodsThis was a post hoc observational cohort study. We hypothesized LVH regression with frequent HD was associated with a different cardiovascular biomarker profile. Regressors were defined as patients who achieved a reduction of more than 10% in LVM at 12 months. Progressors were defined as patients who had a minimum of 10% increase in LVM at 12 months.

resultsAmong 332 randomized patients, 243 had biomarker data available. Of these, 121 patients did not progress or regress, 77 were regressors, and 45 were progressors. Mean LVM change differed between regressors and progressors by -65.6 (-74.0 to -57.2) g, p < 0.001. Regressors had a median (interquartile range) increase in dialysis frequency (from 3.0 [3.0-3.0] to 4.9 [3-5.7] per week, p = 0.001) and reductions in pre-dialysis systolic (from 149.0 [136.0-162.0] to 136.0 [123.0-152.0] mm Hg, p < 0.001) and diastolic (from 83.0 [71.0-91.0] to 76.0 [68.0-84.0] mm Hg, p < 0.001) blood pressures. Klotho levels increased in regressors versus progressors (76.9 [10.5-143.3] pg/mL, p = 0.024). Tissue inhibitors of metalloproteinase (TIMP)-2 levels fell in regressors compared to progressors (-7,853 [-14,653 to -1,052] pg/mL, p = 0.024). TIMP-1 and log (brain natriuretic -peptide [BNP]) levels also tended to fall in regressors. Changes in LVM correlated inversely with changes in klotho (r = -0.24, p = 0.014). -Conclusions: Markers of collagen turnover and changes in klotho levels are potential novel pathways associated with regression of LVH in the dialysis population, which will require further prospective validation.

Indexed as

Renal DialysisAdultBiomarkersCohort StudiesFemaleHumansHypertrophy, Left VentricularKidney Failure, ChronicMaleMiddle AgedRandomized Controlled Trials as TopicRemission InductionBiomarkersBrain natriuretic peptideCardiac biomarkersCopeptinFrequent hemodialysisKlothoLeft ventricular hypertrophyMarkers of collagen turnover

Identifiers

PMID29621747
PMCPMC5916783

What OpenQuestion holds

Textmetadata
LicenceTDM
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.