Evidence map›Paper›PMID 18592286›Full record

ArticleLipids2008

Metabolic syndrome affects fatty acid composition of plasma lipids in obese prepubertal children.

Mercedes Gil-Campos, Maria del Carmen Ramírez-Tortosa, Elvira Larqué, Javier Linde, Concepción M Aguilera, Ramón Cañete, Angel Gil

Abstract read
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In one paragraph

Article in Lipids, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 16% 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, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

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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

7 authors at 3 institutions in 1 country.

Mercedes Gil-CamposUnit of Paediatric Endocrinology, Reina Sofia University Hospital, Cordoba, Spain.
Maria del Carmen Ramírez-Tortosa
Elvira Larqué
Javier Linde
Concepción M Aguilera
Ramón Cañete
Angel Gil
Universidad de Granada · ESHospital Universitario Reina Sofía · ESUniversidad de Murcia · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the present study was to assess the plasma fatty acid composition of the total plasma lipids and lipid fractions in obese prepubertal children with and without metabolic syndrome (MS). Thirty-four obese prepubertal children were recruited: 17 who met MS criteria and 17 who did not; and twenty prepubertal children of normal weight. MS characteristics, insulin resistance (by homeostasis model assessment [HOMA-IR]), and plasma adiponectin (by radioimmunoassay) were recorded. Separation of lipid fractions was performed by liquid chromatography and the concentration of fatty acids in total plasma lipids and fractions was determined by gas-liquid chromatography. Concentrations of 16:1n-7, 16:1n-9, 18:3n-3, 22:6n-3, and n-3 PUFA in total plasma lipids (P < 0.05) and of 16:0, 16:1n-7, 18:1n-9, 18:2n-6, and n-6 PUFA in triacylglycerols (TG) (P < 0.05) were significantly higher in obese MS versus normal-weight children. Increased risk of MS was positively associated with plasma concentration of 16:1n-7 and negatively associated with proportion of 20:4n-6 (OR 2.76; P = 0.004; OR 0.56, P = 0.030, respectively). Saturated FA in TG were associated with HOMA-IR (R = 0.349, P = 0.017) and 22:5n-6 with adiponectin (R = 0.336, P = 0.05). In conclusion, increased concentrations of 16:1n-7 and decreased proportions of 20:4n-6 and 22:5n-6 in plasma lipids appear to be early markers of MS in children at prepubertal age.

Indexed as

ChildDietFatty AcidsFemaleHumansMaleMetabolic SyndromeObesityFatty Acids

Identifiers

PMID18592286
OpenAlexW2008738296

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.