Evidence map›Paper›PMID 29744621›Full record

ArticlePediatric radiology2018

Carotid artery intima-media thickness measurement in children with normal and increased body mass index: a comparison of three techniques.

Ramy El Jalbout, Guy Cloutier, Marie-Hélène Roy Cardinal, Mélanie Henderson, Chantale Lapierre, Gilles Soulez, Josée Dubois

Erratum issuedOpen access · hybridAbstract readComparative Study
In one paragraph

Article in Pediatric radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Observational
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Ramy El JalboutDepartment of Medical Imaging, University of Montreal, Sainte-Justine University Health Center, 3175 Cote-Sainte-Catherine Road, Montreal, Quebec, H3T 1C5, Canada. ramy.el-jalbout.hsj@ssss.gouv.qc.ca.
Guy CloutierLaboratory of Biorheology and Medical Ultrasonics, University of Montreal Hospital Research Center (CRCHUM), Montreal, Quebec, Canada.
Marie-Hélène Roy CardinalLaboratory of Biorheology and Medical Ultrasonics, University of Montreal Hospital Research Center (CRCHUM), Montreal, Quebec, Canada.
Mélanie HendersonDepartment of Pediatrics, University of Montreal, Sainte-Justine University Health Center, Montreal, Quebec, Canada.
Chantale LapierreDepartment of Medical Imaging, University of Montreal, Sainte-Justine University Health Center, 3175 Cote-Sainte-Catherine Road, Montreal, Quebec, H3T 1C5, Canada.
Gilles SoulezDepartment of Radiology, University of Montreal Hospital Center (CHUM), Montreal, Quebec, Canada.
Josée DuboisDepartment of Medical Imaging, University of Montreal, Sainte-Justine University Health Center, 3175 Cote-Sainte-Catherine Road, Montreal, Quebec, H3T 1C5, Canada.
Université de Montréal · CACentre Hospitalier Universitaire Sainte-Justine · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCommon carotid artery intima-media thickness is a marker of subclinical atherosclerosis. In children, increased intima-media thickness is associated with obesity and the risk of cardiovascular events in adulthood.

objectiveTo compare intima-media thickness measurements using B-mode ultrasound, radiofrequency (RF) echo tracking, and RF speckle probability distribution in children with normal and increased body mass index (BMI). MATERIALS AND

methodsWe prospectively measured intima-media thickness in 120 children randomly selected from two groups of a longitudinal cohort: normal BMI and increased BMI, defined by BMI ≥85th percentile for age and gender. We followed Mannheim recommendations. We used M'Ath-Std for automated B-mode imaging, M-line processing of RF signal amplitude for RF echo tracking, and RF signal segmentation and averaging using probability distributions defining image speckle. Statistical analysis included Wilcoxon and Mann-Whitney tests, and Pearson correlation coefficient and intra-class correlation coefficient (ICC).

resultsChildren were 10-13 years old (mean: 11.7 years); 61% were boys. The mean age was 11.4 years (range: 10.0-13.1 years) for the normal BMI group and 12.0 years (range: 10.1-13.5 years) for the increased BMI group. The normal BMI group included 58% boys and the increased BMI group 63% boys. RF echo tracking method was successful in 79 children as opposed to 114 for the B-mode method and all 120 for the probability distribution method. Techniques were weakly correlated: ICC=0.34 (95% confidence interval [CI]: 0.27-0.39). Intima-media thickness was significantly higher in the increased BMI than normal BMI group using the RF techniques and borderline for the B-mode technique. Mean differences between weight groups were: B-mode, 0.02 mm (95% CI: 0.00 to 0.04), P=0.05; RF echo tracking, 0.03 mm (95% CI: 0.01 to 0.05), P=0.01; and RF speckle probability distribution, 0.03 mm (95% CI: 0.01 to 0.05), P=0.002.

conclusionThough techniques are not interchangeable, all showed increased intima-media thickness in children with increased BMI. RF echo tracking method had the lowest success rate at calculating intima-media thickness. For patient follow-up and cohort comparisons, the same technique should be used throughout.

Indexed as

Body Mass IndexAdolescentCarotid Artery, CommonCarotid Intima-Media ThicknessChildFemaleHumansMaleProspective StudiesRadio WavesRisk FactorsUltrasonographyAtherosclerosisB-mode ultrasoundCarotid arteryChildrenIntima-media thicknessObesityRadiofrequency echo tracking

Identifiers

PMID29744621
PMCPMC6061475
OpenAlexW2800249408

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.