Evidence map›Paper›PMID 42266455›Full record

ArticleFrontiers in toxicology2026

Foodborne illness outbreaks attributed to chemical hazards in the United States, 2011-2025.

Brett Weed, Lauren Yeung, Omari Bandele, Cary Chen Parker

Abstract read
In one paragraph

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Brett WeedHuman Foods Program, US Food and Drug Administration, College Park, MD, United States.
Lauren YeungHuman Foods Program, US Food and Drug Administration, College Park, MD, United States.
Omari BandeleHuman Foods Program, US Food and Drug Administration, College Park, MD, United States.
Cary Chen ParkerHuman Foods Program, US Food and Drug Administration, College Park, MD, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Coordinated Outbreak Response and Evaluation (CORE) Network within the U.S. Food and Drug Administration (FDA) manages the investigation of multistate outbreaks of foodborne illness. From 2011 to 2025, CORE evaluated 1,270 foodborne illness incidents, of which 127 (10%) were attributable to a chemical exposure. Seafood toxins, from both shellfish and finfish, represented the majority of these incidents, followed by illicit or pharmaceutical drugs, toxic elements, and botanical toxins. Several case studies are presented which represent an array of classes of chemical hazards and distinct root causes of contamination. The detection and investigation of chemical foodborne incidents present additional complexities as compared to microbial outbreaks. These challenges include a lack of established surveillance and reporting systems for chemical incidents, difficulties in demonstrating a connection between illness presentation and a specific exposure to a given food product, and the heterogeneity of contamination. Additionally, many outbreaks require development and validation of new analytical methods for a novel food-contaminant pair to generate laboratory results sufficient to support regulatory action. FDA is committed to detecting, mitigating, and preventing chemical hazards in foods, including targeted public health surveillance programs, laboratory method development, and partnerships with other public health and food safety agencies to ensure a safe food supply for U.S. consumers.

Indexed as

chemical adulterationFDAfoodborne illnessfood safetytoxins and toxicants in food

Identifiers

PMID42266455
PMCPMC13245939

What OpenQuestion holds

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LicenceCC BY
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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.