Evidence map›Paper›PMID 30728483›Full record

ArticleJournal of exposure science & environmental epidemiology2020

Refinement of dietary exposure assessment using origin-related scenarios.

Carolin Fechner, Matthias Greiner, Helmut Heseker, Oliver Lindtner

Abstract read
In one paragraph

Article in Journal of exposure science & environmental epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

4 authors.

Carolin FechnerGerman Federal Institute for Risk Assessment, Max-Dohrn-Straße 8-10, 10589, Berlin, Germany. fechner.carolin@gmail.com.
Matthias GreinerGerman Federal Institute for Risk Assessment, Max-Dohrn-Straße 8-10, 10589, Berlin, Germany.
Helmut HesekerUniversity Paderborn, Warburger Straße 100, 33098, Paderborn, Germany.
Oliver LindtnerGerman Federal Institute for Risk Assessment, Max-Dohrn-Straße 8-10, 10589, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Global sourcing of food may lead to variability in concentrations of contaminants or pesticide residues. It would be important to incorporate origin influences in dietary exposure assessment. To characterise uncertainties, substance concentrations from GFM (German Food Monitoring), chosen based on the highest CV (coefficient of variation), and food consumption from NVS II (German National Nutrition Survey II) were combined in standard scenarios. Averages or higher percentiles of non-grouped concentrations were used. Additional origin-related scenarios used concentrations grouped by origin. For bromide in tomatoes the most conservative origin-related scenario for Italian tomatoes resulted in the highest exposure of 0.015 mg/d/kg BW. The impact of origin was not covered by the conservative standard scenario (0.006 mg/d/kg BW). For ethephon in pineapples and aluminium in kiwifruits, the highest intake estimates were obtained with the conservative standard scenario resulting in 0.895 μg/d/kg BW and 0.023 mg/week/kg BW, respectively. In these two cases, standard scenarios cover origin influences but the conservative origin-related scenario based on origins with higher concentrations identifies lower exposures of 0.835 μg/d/kg BW for ethephon from African pineapples and 0.014 mg/week/kg BW for aluminium from non-EU kiwifruits. Hence, the inclusion of origin information can refine exposure assessment.

Indexed as

DietDietary ExposureEnvironmental ExposureFood ContaminationHumansNutrition SurveysPesticide ResiduesRisk AssessmentPesticide ResiduesDietary exposuremetalspesticides

Identifiers

PMID30728483
PMCPMC7181391

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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.