Evidence map›Paper›PMID 39473885›Full record

ReviewEnvironment & health (Washington, D.C.)2024

Advancing Toxicity Predictions: A Review on

Peiling Han, Xuehua Li, Jingyuan Yang, Yuxuan Zhang, Jingwen Chen

Abstract readReview
In one paragraph

Review in Environment & health (Washington, D.C.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. AI/ML-based computational models for toxicity prediction.Environmental science and pollution research international · 2026
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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

5 authors.

Peiling HanKey Laboratory of Industrial Ecology and Environmental Engineering, School of Environmental Science and Technology, Dalian University of Technology, Liaoning, Dalian 116024, China.
Xuehua LiKey Laboratory of Industrial Ecology and Environmental Engineering, School of Environmental Science and Technology, Dalian University of Technology, Liaoning, Dalian 116024, China.ORCID https://orcid.org/0000-0003-3924-0987
Jingyuan YangKey Laboratory of Industrial Ecology and Environmental Engineering, School of Environmental Science and Technology, Dalian University of Technology, Liaoning, Dalian 116024, China.
Yuxuan ZhangKey Laboratory of Industrial Ecology and Environmental Engineering, School of Environmental Science and Technology, Dalian University of Technology, Liaoning, Dalian 116024, China.
Jingwen ChenKey Laboratory of Industrial Ecology and Environmental Engineering, School of Environmental Science and Technology, Dalian University of Technology, Liaoning, Dalian 116024, China.ORCID https://orcid.org/0000-0002-5756-3336

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a key step in next-generation risk assessment (NGRA),

Identifiers

PMID39473885
PMCPMC11504544

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.