Evidence map›Paper›PMID 31998592›Full record

ArticleFood safety (Tokyo, Japan)2019

A Summary Report of FSCJ Workshop "Future Challenges and Opportunities in Developing Methodologies for Improved Human Risk Assessments".

Kaoruko Tachibana, George E N Kass, Atsushi Ono, Takashi Yamada, Weida Tong, Daniel R Doerge, Yasushi Yamazoe

Abstract read
In one paragraph

Article in Food safety (Tokyo, Japan), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Subject fields in Food Safety during 10 years.Food safety (Tokyo, Japan) · 2021
    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

7 authors.

Kaoruko TachibanaDepartment of Environmental Medicine, Kochi Medical School, Kohasu, Oko-cho, Nankoku-shi, Kochi 
783-8505, Japan.
George E N KassEuropean Food Safety Authority, Via Carlo Magno 1A, 43126 Parma, Italy.
Atsushi OnoOkayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, 1-1-1 Tsushimanaka Kita-ku, Okayama-shi, Okayama 700-8530, Japan.
Takashi YamadaNational Institute of Health Sciences, 3-25-26 Tonomachi, Kawasaki-shi, Kanagawa 210-0821, Japan.
Weida TongNational Center for Toxicological Research, Food and Drug Administration, 3900 NCTR Road, Jefferson, AR 72079, United States of America.
Daniel R DoergeNational Center for Toxicological Research, Food and Drug Administration, 3900 NCTR Road, Jefferson, AR 72079, United States of America.
Yasushi YamazoeFood Safety Commission of Japan, Cabinet Office, Government of Japan, Akasaka Park Bldg, 22F, 5-2-20 Akasaka, Minatoku, Tokyo 107-6122, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This is a summary report of FSCJ (Food Safety Commission of Japan) workshop entitled "Future Challenges and Opportunities in Developing Methodologies for Improved Human Risk Assessments, which held in November 2018. Scientific advancements have facilitated the development of new methods for chemical risk assessments with the expansion of toxicological databases. They are promising tools to overcome challenges, such as situations of data insufficiency, estimation of internal exposure and prediction of hazard, and enable us to improve our human health risk assessment in food safety. In this review, current understandings on developments in chemical risk assessments, especially focusing on Threshold of Toxicological Concern (TTC) approach, non-testing and

Indexed as

food safety risk assessmentsPBPK modelingread-acrossrisk assessment methodologiestoxicological databasesTTC

Identifiers

PMID31998592
PMCPMC6957455

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.