ArticlePediatric nephrology (Berlin, Germany)2016
Assessing longitudinal trends in cardiac function among pediatric patients with chronic kidney disease.
Article in Pediatric nephrology (Berlin, Germany), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed, 9 citations in OpenAlex.
- Association between extracellular DNA levels, markers of inflammation and left ventricular mass index in children with chronic kidney disease.Scientific reports · 2025Observational
- Changes in the cardiovascular risk profile in children approaching kidney replacement therapy.EClinicalMedicine · 2024Article
- Cardiac biomarkers in pediatric CKD-a prospective follow-up study.Pediatric nephrology (Berlin, Germany) · 2022Article
- Diastolic Function and Ambulatory Hypertension in Children With Chronic Kidney Disease.Hypertension (Dallas, Tex. : 1979) · 2021Observational
- Impaired Systolic and Diastolic Left Ventricular Function in Children with Chronic Kidney Disease - Results from the 4C Study.Scientific reports · 2019Observational
- The FGF23-Klotho axis and cardiac tissue Doppler imaging in pediatric chronic kidney disease-a prospective cohort study.Pediatric nephrology (Berlin, Germany) · 2018Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLeft ventricular diastolic dysfunction (LVDD) is an early marker of cardiac disease in pediatric chronic kidney disease (CKD), but few studies have analyzed longitudinal trends. We conducted a prospective 3-year follow-up study in pediatric CKD and kidney transplant (CKD-T) patients.
methodsThe patient cohort comprised 30 CKD and 42 CKD-T patients. The results of annual clinical and echocardiographic analyses using tissue Doppler imaging (TDI) and pulse wave Doppler (PWD) were assessed, and associations to predictive risk factors were studied using multivariate modeling.
resultsThe mean age of CKD and CKD-T patients at inclusion was 9.8 ± 4.4 and 11.8 ± 4.3 years, respectively; the glomerular filtration rate was 35.3 ± 18.3 and 60.3 ± 18.8 mL/min/1.73 m(2), respectively. The prevalence of left ventricular diastolic dysfunction (LVDD), as assessed using TDI (lateral z-score e') was 7.1 and 12.5 % in CKD and CKD-T patients, respectively; the corresponding values with PWD E were 3.3 and 2.4 %, respectively. In unadjusted analyses, both TDI and PWD markers of diastolic function worsened over the follow-up period; following adjustments, an elevated systolic ambulatory blood pressure was the most important predictor of cardiac disease.
conclusionsChildren with CKD show early signs of LVDD, with TDI being more sensitive than PWD in terms of diagnostic potential. An increased ambulatory systolic blood pressure predicted progression in diastolic function, suggesting opportunities for future interventions.
Indexed as
Identifiers
What OpenQuestion holds
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.