Evidence map›Paper›PMID 27942789›Full record

ArticleArchives of toxicology2017

Evaluation of the automated MicroFlow

Jatin R Verma, Benjamin J Rees, Eleanor C Wilde, Catherine A Thornton, Gareth J S Jenkins, Shareen H Doak, George E Johnson

Abstract readEvaluation Study
In one paragraph

Article in Archives of toxicology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Imaging flow cytometry: a primer.Nature reviews. Methods primers · 2022
    Article
  4. Article
  5. Article
  6. Article
  7. Automation of the in vitro micronucleus assay using the ImagestreamCytometry. Part A : the journal of the International Society for Analytical Cytology · 2018
    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.

Jatin R VermaInstitute of Life Science, School of Medicine, Swansea University, Swansea, SA2 8PP, UK. jatin_verma12@yahoo.com.
Benjamin J ReesInstitute of Life Science, School of Medicine, Swansea University, Swansea, SA2 8PP, UK.
Eleanor C WildeInstitute of Life Science, School of Medicine, Swansea University, Swansea, SA2 8PP, UK.
Catherine A ThorntonInstitute of Life Science, School of Medicine, Swansea University, Swansea, SA2 8PP, UK.
Gareth J S JenkinsInstitute of Life Science, School of Medicine, Swansea University, Swansea, SA2 8PP, UK.
Shareen H DoakInstitute of Life Science, School of Medicine, Swansea University, Swansea, SA2 8PP, UK.
George E JohnsonInstitute of Life Science, School of Medicine, Swansea University, Swansea, SA2 8PP, UK.

Funding

HCRW_ HS-16-33National Centre for the Replacement, Refinement and Reduction of Animals in Research NC/K500033/1National Centre for the Replacement, Refinement and Reduction of Animals in Research NC/K500458/1
6 · The paper itself

Abstract

The use of manual microscopy for the scoring of chromosome damage in the in vitro micronucleus assay is often associated with user subjectivity. This level of subjectivity can be reduced by using automated platforms, which have added value of faster with high-throughput and multi-endpoint capabilities. However, there is a need to assess the reproducibility and sensitivity of these automated platforms compared with the gold standard of the manual scoring. The automated flow cytometry-based MicroFlow

Indexed as

Dose-Response Relationship, DrugAutomationBenzimidazolesCarbamatesCell LineCell NucleusHigh-Throughput Screening AssaysHumansMethyl MethanesulfonateMicronucleus TestsMutagensOchratoxinsReproducibility of ResultsBenzimidazolesCarbamatescarbendazimMethyl MethanesulfonateMutagensochratoxin AOchratoxinsAutomationDose responseMetafer™MicroFlow®Micronucleus

Identifiers

PMID27942789
PMCPMC5489585

What OpenQuestion holds

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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.