Evidence map›Paper›PMID 39592502›Full record

ArticlePediatric cardiology2026

Cardiometabolic Health in Children with Pre-existing Dyslipidemia: Trends and Disparities.

Mary C First, Keegan J Reilly, Xiao Zhang, Amy L Peterson

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Article in Pediatric cardiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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0 citing papers in PubMed.

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4 · The record

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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

4 authors.

Mary C FirstDepartment of Pediatrics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Keegan J ReillyDepartment of Pediatrics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Xiao ZhangDepartment of Pediatrics, Division of Pediatric Cardiology, University of Wisconsin School of Medicine and Public Health, CSC H6/528 MC 4108, 600 Highland Ave, Madison, WI, 53792, USA.
Amy L PetersonDepartment of Pediatrics, Division of Pediatric Cardiology, University of Wisconsin School of Medicine and Public Health, CSC H6/528 MC 4108, 600 Highland Ave, Madison, WI, 53792, USA. apeterson@pediatrics.wisc.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to evaluate the impact of a child's proximity to an urban center on their cardiometabolic health status and their response to treatment of cardiometabolic risk factors, retrospective review of the institutional pediatric lipid clinic database was conducted for all subjects receiving care from 1/1/2011 to 12/31/2023, with subgroup analysis of subjects with ≥ 2 clinical encounters and/or set of laboratory values. Subjects were classified as rural/urban and advantaged/middle/underserved based on their zip code using the Wisconsin Collaborative for Healthcare Quality classification system. Multivariate linear regression was used to examine disparities in baseline cardiometabolic health parameters by urban/rural groupings. Among subjects with multiple encounters, baseline and final available values were analyzed using paired t tests. 2419 subjects were included in the initial analysis with 75.4% living in urban environments and 51.9% having advantaged status. Urban advantaged children had lower BMI percentiles and waist circumference, but higher LDL-C values compared to other urban groups (p < 0.05). Rural advantaged and middle groups had higher TC, non-HDL-C, and LDL-C than the urban groups (p < 0.05). 1522 subjects had ≥ 2 encounters, with significant decreases in all lipid parameters (p < 0.006 for all). There was no change in fasting glucose, HbA1c, or ALT. Disparities in cardiometabolic parameters were seen at time of presentation based on rural/urban and advantaged/middle/underserved status, but all groups had similar improvements in cardiometabolic parameters throughout the course of treatment.

Indexed as

Cardiovascular DiseasesDyslipidemiasHealth Status DisparitiesAdolescentCardiometabolic Risk FactorsChildChild, PreschoolFemaleHumansMaleRetrospective StudiesRisk FactorsRural PopulationUrban PopulationWisconsinAtherosclerosisDyslipidemiaPediatricPreventiveSocial determinants of health

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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.