Evidence mapPaperPMID 42198510Full record

ArticleToxics2026

Risk Assessment of Lead and Cadmium Exposure Through Raw Milk Consumption from Small-Scale Dairy Systems in the Central Peruvian Andes.

Doris Chirinos-Peinado, Jorge Castro-Bedriñana, Elva Ríos-Ríos, Gianfranco Castro-Chirinos, Mery Baquerizo-Canchumanya

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In one paragraph

Article in Toxics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

5 authors.

Doris Chirinos-PeinadoFood and Nutritional Security Research Group, Universidad Nacional del Centro del Perú, Huancayo 12000, Peru.
Jorge Castro-BedriñanaFood and Nutritional Security Research Group, Universidad Nacional del Centro del Perú, Huancayo 12000, Peru.ORCID 0000-0003-4312-6917
Elva Ríos-RíosFaculty of Sciences, Universidad Nacional Agraria La Molina, Lima 15012, Peru.
Gianfranco Castro-ChirinosFaculty of Psychology, Universidad Peruana de Ciencias Aplicadas, Lima 15086, Peru.
Mery Baquerizo-CanchumanyaFaculty of Applied Sciences of Tarma, Universidad Nacional del Centro del Perú, Tarma 12651, Peru.

Funding

Universidad Nacional del Centro del Perú Research Project N°072025293158
6 · The paper itself

Abstract

Bovine milk is a primary dietary source of nutrients and bioactive compounds. However, its safety is increasingly under threat due to contamination from mining and intensive agriculture. In the Peruvian Andes, where small-scale dairy farming coexists with historical environmental liabilities, identifying the transfer of metals into the food chain is essential for public health. This study quantifies the concentrations of lead (Pb) and cadmium (Cd) in raw milk from small-scale producers in rural districts in the province of Huancayo. Non-carcinogenic risks for populations aged 2-85 years were assessed under three consumption scenarios. Forty-five samples were analyzed using microwave plasma atomic emission spectrometry (MP-AES). The mean concentrations of Pb and Cd were 11.30 ± 18.94 µg/kg and 7.85 ± 18.11 µg/kg, respectively, which are below the maximum permissible limits (MPL). However, spatial analysis identified critical hotspots near smelters, where Pb levels reached 103 µg/kg, which is a significant exceedance of the MPL of 20 µg/kg. Toxicological modelling showed that the Hazard Index (HI) remained below the unity threshold (HI < 1) for all scenarios, ruling out immediate systemic risks. Nevertheless, the highest HI (0.78) was observed in two-year-old children in the high-consumption scenario, highlighting a localized neurodevelopmental concern. These findings emphasize the importance of georeferenced environmental monitoring and differentiated public health policies to mitigate the chronic low-level exposure to metals in vulnerable, high-altitude populations.

Indexed as

Andean highlandscadmiumcow milkfood safetyhazards modelsleadrisk assessment

Identifiers

PMID42198510
PMCPMC13211767

What Socratic holds

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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 Socratic graph.