Evidence map›Paper›PMID 39771151›Full record

ArticleToxics2024

An Integrated Testing Strategy and Online Tool for Assessing Skin Sensitization of Agrochemical Formulations.

Hung-Lin Kan, Shan-Shan Wang, Chun-Lin Liao, Wei-Ren Tsai, Chia-Chi Wang, Chun-Wei Tung

Abstract read
In one paragraph

Article in Toxics, 2024. 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

6 authors.

Hung-Lin KanInstitute of Biotechnology and Pharmaceutical Research, National Health Research Institutes, Miaoli 35053, Taiwan.ORCID 0000-0002-9061-6065
Shan-Shan WangInstitute of Biotechnology and Pharmaceutical Research, National Health Research Institutes, Miaoli 35053, Taiwan.
Chun-Lin LiaoAgricultural Chemicals Research Institute, Ministry of Agriculture, Taichung 41358, Taiwan.
Wei-Ren TsaiAgricultural Chemicals Research Institute, Ministry of Agriculture, Taichung 41358, Taiwan.
Chia-Chi WangDepartment and Graduate Institute of Veterinary Medicine, School of Veterinary Medicine, National Taiwan University, Taipei 10617, Taiwan.ORCID 0000-0002-1272-1513
Chun-Wei TungInstitute of Biotechnology and Pharmaceutical Research, National Health Research Institutes, Miaoli 35053, Taiwan.ORCID 0000-0003-3011-8440

Funding

Agricultural Chemicals Research Institute 109AS-24.1.2-PI-P3Agricultural Chemicals Research Institute 110AS-16.1.1-PI-P2Agricultural Chemicals Research Institute 111AS-13.1.1-PI-P2Agricultural Chemicals Research Institute 112AS-9.1.1-PI-P2Agricultural Chemicals Research Institute 113AS-2.6.1-PI-02National Science and Technology Council of Taiwan MOST-110-2221-E-400-004-MY3National Science and Technology Council of Taiwan NSTC-113-2628-E-400-001-MY3
6 · The paper itself

Abstract

Non-animal assessment of skin sensitization is a global trend. Recently, scientific efforts have been focused on the integration of multiple evidence for decision making with the publication of OECD Guideline No. 497 for defined approaches to skin sensitization. The integrated testing strategy (ITS) methods reported by the guideline integrates in chemico, in vitro, and in silico testing to assess both hazard and potency of skin sensitization. The incorporation of in silico methods achieved comparable performance with fewer experiments compared to the traditional two-out-of-three (2o3) method. However, the direct application of current ITSs to agrochemicals can be problematic due to the lack of agrochemicals in the training data of the incorporated in silico methods. To address the issue, we present ITS-SkinSensPred 2.0 for agrochemicals and agrochemical formulations using a reconfigured in silico model SkinSensPred for pesticides. Compared to ITSv2, the proposed ITS-SkinSensPred 2.0 achieved an 11% and 16% improvement in the accuracy and correct classification rate for hazard identification and potency classification, respectively. In addition, an online ITS tool was implemented and available on the SkinSensDB website. The tool is expected to be useful for evaluating skin sensitization of substances.

Indexed as

3Radverse outcome pathwaymachine learningpesticidesSkinSensDBskin sensitizationSkinSensPred

Identifiers

PMID39771151
PMCPMC11728478

What OpenQuestion holds

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LicenceCC BY
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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.