Evidence map›Paper›PMID 35978101›Full record

ArticleInternational journal of obesity (2005)2022

Heart failure-type symptom scores in chronic kidney disease: The importance of body mass index.

Carl P Walther, Julia S Benoit, L Parker Gregg, Nisha Bansal, Vijay Nambi, Harold I Feldman, Michael G Shlipak, Sankar D Navaneethan, CRIC Study Investigators

Open access · greenAbstract read
In one paragraph

Article in International journal of obesity (2005), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 44% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  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

9 authors at 13 institutions in 1 country.

Carl P WaltherSelzman Institute for Kidney Health, Section of Nephrology, Baylor College of Medicine, Houston, TX, USA. carl.walther@bcm.edu.ORCID http://orcid.org/0000-0003-0219-2870
Julia S BenoitTexas Institute for Measurement, Evaluation, and Statistics, University of Houston, Houston, TX, USA.
L Parker GreggSelzman Institute for Kidney Health, Section of Nephrology, Baylor College of Medicine, Houston, TX, USA.
Nisha BansalKidney Research Institute and Division of Nephrology, University of Washington, Seattle, WA, USA.
Vijay NambiSection of Cardiology, Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX, USA.
Harold I FeldmanCenter for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, PA, USA.
Michael G ShlipakKidney Health Research Collaborative, Department of Medicine, University of California San Francisco, San Francisco, CA, USA.
Sankar D NavaneethanSelzman Institute for Kidney Health, Section of Nephrology, Baylor College of Medicine, Houston, TX, USA.
CRIC Study Investigators
University of New Mexico · USMichael E. DeBakey VA Medical Center · USTulane University · USBaylor College of Medicine · USJohns Hopkins University · USKaiser Permanente · USSan Francisco VA Medical Center · USUniversity Hospitals of Cleveland · USUniversity of Houston · USUniversity of Illinois Chicago · USUniversity of Michigan · USUniversity of Pennsylvania · USUniversity of Washington · US

Funding

UCSF CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTEUL1RR024131 · NCRR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOHNSTON, S. CLAIBORNE · 2006 to 2011
$111.2M
Scientific and Data Coordinating Center(SDCC) for the P*U01DK060990 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI FELDMAN, HAROLD I · 2001 to 2017
$50.1M
Clinical and Translational Science Collaborative of ClevelandUL1TR000439 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI KONSTAN, MICHAEL W. · 2012 to 2016
$50.0M
Michigan Institute for Clinical and Health Research (MCHR)UL1TR000433 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MASHOUR, GEORGE ALEXANDER · 2012 to 2016
$49.9M
Institutional Clinical and Translational Science AwardUL1TR000003 · NCATS · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2012 to 2015
$38.9M
Tulane COBRE in Cardiometabolic Diseases Clinical Research CoreP20GM109036 · NIGMS · TULANE UNIVERSITY OF LOUISIANA · PI Ning Liu · 2016 to 2026
$25.3M
Continuation of the Coordinating Center for the Chronic Renal Insufficiency Cohort (CRIC) StudyU24DK060990 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI Amanda Hyre Anderson, Laura M Dember · 2018 to 2026
$21.5M
Zonulin Antibodies in Intestinal Permeabilitiy in IDDMM01RR016500 · NCRR · UNIVERSITY OF MARYLAND BALTIMORE · PI ONUKWUGHA, EBERECHUKWU · 2002 to 2009
$20.2M
Study of the Care and Outcomes of REnal InsufficiencyU01DK060902 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI GO, ALAN S · 2001 to 2025
$19.5M
Limited Competition for the Continuation of the Chronic Renal Insufficiency CohorU01DK061021 · NIDDK · CASE WESTERN RESERVE UNIVERSITY · PI RAHMAN, MAHBOOB · 2001 to 2025
$17.3M
Prospective Renal Insufficiency Cohort Evaluation:PRICEU01DK060984 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI COHEN, DEBBIE L · 2001 to 2025
$17.0M
Prospective Cohort Study of Chronic Renal InsufficiencyU01DK061028 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI RAO, PANDURANGA S · 2001 to 2025
$16.9M
HSRD VA I01 HX002917NCATS NIH HHS UL1 TR000003NCATS NIH HHS UL1 TR000424NCATS NIH HHS UL1 TR000433NCATS NIH HHS UL1 TR000439NCRR NIH HHS M01 RR016500NCRR NIH HHS UL1 RR024131NCRR NIH HHS UL1 RR029879NIDDK NIH HHS R01 DK101500NIDDK NIH HHS R01 DK119199NIDDK NIH HHS U01 DK060902NIDDK NIH HHS U01 DK060963NIDDK NIH HHS U01 DK060980NIDDK NIH HHS U01 DK060984NIDDK NIH HHS U01 DK060990NIDDK NIH HHS U01 DK061021NIDDK NIH HHS U01 DK061022NIDDK NIH HHS U01 DK061028NIDDK NIH HHS U24 DK060990NIGMS NIH HHS P20 GM109036
6 · The paper itself

Abstract

objectivesThis analysis sought to determine factors (including adiposity-related factors) most associated with HF-type symptoms (fatigue, shortness of breath, and edema) in adults with chronic kidney disease (CKD).

backgroundSymptom burden impairs quality of life in CKD, especially symptoms that overlap with HF. These symptoms are common regardless of clinical HF diagnosis, and may be affected by subtle cardiac dysfunction, kidney dysfunction, and other factors. We used machine learning to investigate cross-sectional relationships of clinical variables with symptom scores in a CKD cohort.

methodsParticipants in the Chronic Renal Insufficiency Cohort (CRIC) with a baseline modified Kansas City Cardiomyopathy Questionnaire (KCCQ) score were included, regardless of prior HF diagnosis. The primary outcome was Overall Summary Score as a continuous measure. Predictors were 99 clinical variables representing demographic, cardiac, kidney and other health dimensions. A correlation filter was applied. Random forest regression models were fitted. Variable importance scores and adjusted predicted outcomes are presented.

resultsThe cohort included 3426 individuals, 10.3% with prior HF diagnosis. BMI was the most important factor, with BMI 24.3 kg/m

conclusionsIn a CKD cohort, BMI was the most important feature for explaining HF-type symptoms regardless of clinical HF diagnosis, identifying an important focus for symptom directed investigations.

Indexed as

Heart FailureRenal Insufficiency, ChronicAdultBody Mass IndexCohort StudiesHumansQuality of Life

Identifiers

PMID35978101
PMCPMC9710200
OpenAlexW4292428553

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.