Evidence map›Paper›PMID 20502476›Full record

ArticleEuropean journal of clinical nutrition2010

Reliability of fasting plasma alkylresorcinol concentrations measured 4 months apart.

J Montonen, R Landberg, A Kamal-Eldin, P Aman, S Knueppel, H Boeing, T Pischon

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In one paragraph

Article in European journal of clinical nutrition, 2010. 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
–field-weighted citation impact
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.

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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.

J MontonenDepartment of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany. jukka.montonen@dife.de
R Landberg
A Kamal-Eldin
P Aman
S Knueppel
H Boeing
T Pischon

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesAlkylresorcinols (ARs) have been suggested as specific dietary biomarkers of whole-grain intake. Evaluation of long-term reliability in repeatedly collected samples in population-based studies is needed to assess whether plasma AR reflect long-term exposure and may be used to study exposure-disease relationships in large-scale epidemiologic studies. The objective of this study was to analyze the reliability (reproducibility) of AR concentrations in fasting plasma measured 4 months apart. SUBJECTS/

methodsAR concentrations (C17:0, C19:0, C21:0, C23:0 and C25:0 and total ARs) were measured in fasting plasma samples from 100 participants from the European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam Study with an interval of 4 months between blood sampling.

resultsFasting plasma AR concentrations were not significantly different between the first and second measurement over the 4-month period. Geometric means of total AR concentrations were 48.8 (95% confidence interval (CI)=41.5-57.3) nmol/l at the first and 48.7 (95% CI=41.4-57.4) nmol/l at the second measurement (P=0.99). The intraclass correlation coefficients for total AR concentrations were 0.42 (95% CI=0.25-0.57) for all, 0.55 (95% CI=0.32-0.72) for women, and 0.17 (95% CI=-0.11-0.42) for men. Comparable results were obtained for the individual homologues.

conclusionsOverall, we observed moderate reliability in concentration of total AR and individual homologues over time, although reliability was weaker in men than in women. These findings should be taken into account when using AR as blood biomarkers for whole-grain intake in large-scale epidemiologic studies.

Indexed as

DietEdible GrainAlkylationBiomarkersFemaleHumansMaleMiddle AgedPlant ExtractsProspective StudiesReproducibility of ResultsResorcinolsSex FactorsTime FactorsBiomarkersPlant ExtractsResorcinols

Identifiers

PMID20502476

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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.