Evidence map›Paper›PMID 30370005›Full record

ReviewToxicological research2018

Benchmark Dose Modeling of

Xiaoqing Guo, Nan Mei

Abstract readReview
In one paragraph

Review in Toxicological research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Mutation accumulation following extended exposure of human HepaRG cells to a genotoxic carcinogen.Journal of environmental science and health. Part C, Toxicology and carcinogenesis · 2025
    Article
  2. Investigating the dependency of in vitro benchmark concentrations on exposure time in transcriptomics experiments.Toxicology in vitro : an international journal published in association with BIBRA · 2024
    Article
  3. Article
  4. Article
  5. Classifying polycyclic aromatic hydrocarbons by carcinogenic potency using in vitro biosignatures.Toxicology in vitro : an international journal published in association with BIBRA · 2020
    Article
  6. Article
  7. Evaluation of pyrrolizidine alkaloid-induced genotoxicity using metabolically competent TK6 cell lines.Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association · 2020
    Article
  8. 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

2 authors.

Xiaoqing GuoDivision of Genetic and Molecular Toxicology, National Center for Toxicological Research, Jefferson, AR, USA.
Nan MeiDivision of Genetic and Molecular Toxicology, National Center for Toxicological Research, Jefferson, AR, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The methods of applied genetic toxicology are changing from qualitative hazard identification to quantitative risk assessment. Recently, quantitative analysis with point of departure (PoD) metrics and benchmark dose (BMD) modeling have been applied to

Indexed as

Benchmark doseIn vitro genotoxicityMouse lymphoma assayQuantitative analysis

Identifiers

PMID30370005
PMCPMC6195882

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.