Evidence map›Paper›PMID 37280451›Full record

ArticleEnvironmental monitoring and assessment2023

Cumulative risk assessment of the dietary heavy metal and aluminum exposure of Finnish adults.

Johanna Suomi, Pirkko Tuominen

Open access · hybridAbstract read
In one paragraph

Article in Environmental monitoring and assessment, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

4 citing papers in PubMed, 16 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

2 authors at 1 institution in 1 country.

Johanna SuomiFinnish Food Authority, Risk Assessment Unit, Helsinki, Finland. johanna.suomi@ruokavirasto.fi.ORCID http://orcid.org/0000-0002-5963-058X
Pirkko TuominenFinnish Food Authority, Risk Assessment Unit, Helsinki, Finland.ORCID http://orcid.org/0000-0002-3987-0228
Finnish Food Authority · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While directly comparable toxicological data are unavailable, this pilot study used published toxicological endpoints for neurological damage to weigh the relative importance of cadmium, lead, arsenic, mercury, nickel, and aluminum in the mixture Finnish adults receive from their daily diet. In addition, the effects of a selection of these chemicals on cognition, kidney tubular damage, and fertility were assessed using the toxicological endpoints available in the Chemical Mixture Calculator developed by the Technical University of Denmark. Consumption data from the FinDiet 2012 national survey of 25 to 74-year-olds and occurrence data mainly obtained in national monitoring were used to estimate the cumulative dietary exposure, which was found to be so high that the possibility of neurological damage or kidney effects cannot be ruled out for most of the population, particularly fertile age women. For Finns below the age of 65 years, the main sources of cumulative exposure were bread and other cereals, non-alcoholic drinks, and vegetables. When mean exposure was statistically compared between age groups and genders, women aged 25 to 45 years had a statistically significantly higher exposure than men of the same age (P < 0.05) and women aged 46 to 64 years (P < 0.001).

Indexed as

ArsenicMercuryMetals, HeavyAdultAluminumCadmiumDietEnvironmental MonitoringFemaleFinlandHumansMalePilot ProjectsRisk AssessmentAluminumArsenicCadmiumMercuryMetals, HeavyAluminumArsenicCadmiumCumulative exposureDietary exposureLeadMercuryNickelRisk assessment

Identifiers

PMID37280451
PMCPMC10244267
OpenAlexW4379599518

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.