Evidence map›Paper›PMID 29505614›Full record

ArticlePloS one2018

High-normal estimated glomerular filtration rate and hyperuricemia positively correlate with metabolic impairment in pediatric obese patients.

Roberta Ricotti, Giulia Genoni, Enza Giglione, Alice Monzani, Martina Nugnes, Sara Zanetta, Matteo Castagno, Agostina Marolda, Giorgio Bellomo, Gianni Bona and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.1field-weighted citation impact, top 15% 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, 25 citations in OpenAlex.

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  15. Uric acid and progression of chronic kidney disease.Pediatric nephrology (Berlin, Germany) · 2019
    Review
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

12 authors at 1 institution in 1 country.

Roberta RicottiSCDU of Pediatrics, Department of Health Sciences, University of Eastern Piedmont, Novara, Italy.
Giulia GenoniSCDU of Pediatrics, Department of Health Sciences, University of Eastern Piedmont, Novara, Italy.
Enza GiglioneSCDU of Pediatrics, Department of Health Sciences, University of Eastern Piedmont, Novara, Italy.
Alice MonzaniSCDU of Pediatrics, Department of Health Sciences, University of Eastern Piedmont, Novara, Italy.
Martina NugnesSCDU of Pediatrics, Department of Health Sciences, University of Eastern Piedmont, Novara, Italy.
Sara ZanettaSCDU of Pediatrics, Department of Health Sciences, University of Eastern Piedmont, Novara, Italy.
Matteo CastagnoSCDU of Pediatrics, Department of Health Sciences, University of Eastern Piedmont, Novara, Italy.
Agostina MaroldaSCDU of Pediatrics, Department of Health Sciences, University of Eastern Piedmont, Novara, Italy.
Giorgio BellomoClinical Chemistry, Department of Health Sciences, University of Eastern Piedmont, Novara, Italy.
Gianni BonaSCDU of Pediatrics, Department of Health Sciences, University of Eastern Piedmont, Novara, Italy.
Simonetta BelloneSCDU of Pediatrics, Department of Health Sciences, University of Eastern Piedmont, Novara, Italy.
Flavia ProdamSCDU of Pediatrics, Department of Health Sciences, University of Eastern Piedmont, Novara, Italy.ORCID 0000-0001-9660-5335
Università degli Studi del Piemonte Orientale “Amedeo Avogadro” · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChildhood obesity represents a major health concern worldwide due to its well established detrimental effect on cardiovascular and its potential negative effect on kidney functions. However, biomarkers that can help diagnose early stages of kidney damage in obese children represent an unmet clinical need.

objectivesIn this study, we asked whether the prevalence of microalbuminuria, estimated glomerular filtration rate (eGFR) or hyperuricemia recorded in a wide cohort of obese children and adolescents would positively correlate with cardiometabolic dysfunction in these subjects.

methodsWe carried out a cross-sectional study on 360 obese children and adolescents between the ages of 3-18 years, enrolled in a tertiary care center. Clinical and biochemical evaluations including oral glucose tolerance tests (OGTTs) were performed on all patients. Microalbuminuria was defined as urinary albumin-to-creatinine ratio (u-ACR) of 30-300 mg/g. All data are expressed as mean ± standard deviation (SD), absolute values or percentages. Sex age-specific and eGFR SDs were used for statistical analyses. Serum uric acid ≥ 5.5 mg/dL was considered abnormal.

resultsThe prevalence of microalbuminuria was 6.4%. Except for a lower insulinogenic-index, no correlations between microalbuminuria and cardiometabolic risk factors were detected. eGFR was < -1 SD and > 1 SD in 1.4% and 60.8% of subjects, respectively. Subjects with an eGFR > 1 SD had higher systolic blood pressure, liver enzymes, insulin resistance, glucose and insulin during OGTT, lower insulin sensitivity and a more prevalent microalbuminuria. Hyperuricemia (27.5%) increased the odds of hypertension, HDL ≤ 10th percentile and glucose ≥ 155.0 mg/dL after 60 minutes of OGTT.

conclusionsA worse cardiometabolic profile was observed in subjects with an eGFR > 1 SD compared to other subgroups. Therefore, pediatric obese patients with eGFR > 1 SD or hyperuricemia should be closely monitored for microalbuminuria and post-challenge glucose and insulin secretion, all potential indicators of renal dysfunction in these young patients.

Indexed as

Glomerular Filtration RateAdolescentChildChild, PreschoolCross-Sectional StudiesHumansHyperuricemiaPediatric ObesityUric AcidUric Acid

Identifiers

PMID29505614
PMCPMC5837119
OpenAlexW2791393998

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.