Evidence map›Paper›PMID 37428222›Full record

ArticlePediatric nephrology (Berlin, Germany)2023

Evidence of increased vascular stiffness and left ventricular hypertrophy in children with cystic kidney disease.

Kirsten Kusumi, Rupesh Raina, Joshua Samuels, Abhishek Tibrewal, Susan Furth, Mark Mitsnefes, Sritej Devineni, Bradley A Warady

Abstract read
PubMed Publisher
In one paragraph

Article in Pediatric nephrology (Berlin, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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 at 7 institutions in 1 country.

Kirsten KusumiDivision of Nephrology, Department of Pediatrics, Akron Children's Hospital, Akron, OH, USA.
Rupesh RainaDivision of Nephrology, Department of Pediatrics, Akron Children's Hospital, Akron, OH, USA. rraina@akronchildrens.org.ORCID http://orcid.org/0000-0003-3892-8376
Joshua SamuelsDivision of Pediatric Nephrology and Hypertension, University of Texas Medical School at Houston, Houston, TX, USA.
Abhishek TibrewalAkron Nephrology Associates, Cleveland Clinic Akron General, Akron, OH, USA.
Susan FurthPediatrics, Division of Nephrology, Children's Hospital of Philadelphia, Perelman School of Medicine, University of Pennsylvania Philadelphia, Philadelphia, PA, USA.
Mark MitsnefesDivision of Nephrology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Sritej DevineniNortheast Ohio Medical University, Rootstown, OH, USA.
Bradley A WaradyDivision of Nephrology, Children's Mercy Kansas City, Kansas City, MO, USA.
Cleveland Clinic · USAkron Children's Hospital · USChildren's Hospital of Philadelphia · USChildren's Mercy Hospital · USCincinnati Children's Hospital Medical Center · USNortheast Ohio Medical University · USTexas Medical Center · US

Funding

Chronic Kidney Disease in Children Study (C-Kid)U01DK066174 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI SUSAN L. FURTH · 2003 to 2026
$25.1M
The Kidney Disease in Children Data Management and Analysis Center (KIDMAC)U01DK066116 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI MUNOZ, ALVARO · 2003 to 2017
$17.9M
Central Biochemistry Laboratory of the CKiD ConsortiumU01DK082194 · NIDDK · UNIVERSITY OF ROCHESTER · PI SCHWARTZ, GEORGE J · 2008 to 2017
$3.5M
NIDDK NIH HHS U01 DK066116NIDDK NIH HHS U01 DK066174NIDDK NIH HHS U01 DK082194
6 · The paper itself

Abstract

backgroundCardiovascular disease (CVD) is the most common cause of mortality in chronic kidney disease (CKD). Children with early-onset CKD arguably experience the greatest lifetime CVD burden. We utilized data from the Chronic Kidney Disease in Children Cohort Study (CKiD) to evaluate two pediatric CKD cohorts: congenital anomalies of the kidney and urinary tract (CAKUT) and cystic kidney disease for CVD risks and outcomes.

methodsCVD risk factors and outcomes including blood pressures, left ventricular hypertrophy (LVH), left ventricular mass index (LVMI), and ambulatory arterial stiffness index (AASI) scores were evaluated.

resultsForty-one patients in the cystic kidney disease group were compared to 294 patients in the CAKUT group. Cystic kidney disease patients had higher cystatin-C levels, despite similar iGFR. Systolic blood pressure (SBP) and diastolic blood pressure (DBP) indexes were higher in the CAKUT group, but a significantly higher proportion of cystic kidney disease patients was on anti-hypertensive medications. Cystic kidney disease patients had increased AASI scores and a higher incidence of LVH.

conclusionsThis study provides a nuanced analysis of CVD risk factors and outcomes including AASI and LVH in two pediatric CKD cohorts. Cystic kidney disease patients had increased AASI scores, higher incidence of LVH, and higher rates of anti-hypertensive medication use which could imply a greater burden of CVD despite similar GFR. Our work suggests that additional mechanisms may contribute to vascular dysfunction in cystic kidney disease, and that these patients may need additional interventions to prevent the development of CVD. A higher resolution version of the Graphical abstract is available as Supplementary information.

Indexed as

Cardiovascular DiseasesHypertensionPolycystic Kidney DiseasesRenal Insufficiency, ChronicVascular StiffnessAntihypertensive AgentsBlood PressureChildCohort StudiesHumansHypertrophy, Left VentricularRisk FactorsUrogenital AbnormalitiesVesico-Ureteral RefluxAntihypertensive AgentsCardiovascular diseaseChronic kidney diseaseCystic kidney disease

Identifiers

PMID37428222
OpenAlexW4383711049

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.