Evidence map›Paper›PMID 35238605›Full record

ArticleEnvironmental health perspectives2022

Automated Network Assembly of Mechanistic Literature for Informed Evidence Identification to Support Cancer Risk Assessment.

Bernice Scholten, Laura Guerrero Simón, Shaji Krishnan, Roel Vermeulen, Anjoeka Pronk, Benjamin M Gyori, John A Bachman, Jelle Vlaanderen, Rob Stierum

Open access · diamondAbstract read
In one paragraph

Article in Environmental health perspectives, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 40% of its field
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Impact of air pollution on COVID-19 severity: a systematic review of underlying biological mechanisms.European respiratory review : an official journal of the European Respiratory Society · 2025
    Pooled it
  2. Unveiling toxicological adverse outcomes: toward construction and simulation of large-scale networks.Toxicological sciences : an official journal of the Society of Toxicology · 2026
    Review
  3. Article
  4. What is next for occupational cancer epidemiology?Scandinavian journal of work, environment & health · 2022
    Article
  5. 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

9 authors at 3 institutions in 2 countries.

Bernice ScholtenResearch Group Risk Analysis for Products in Development, The Netherlands Organisation for applied scientific research, Utrecht, Netherlands.
Laura Guerrero SimónResearch Group Risk Analysis for Products in Development, The Netherlands Organisation for applied scientific research, Utrecht, Netherlands.ORCID 0000-0003-3070-903X
Shaji KrishnanResearch Group Risk Analysis for Products in Development, The Netherlands Organisation for applied scientific research, Utrecht, Netherlands.ORCID 0000-0002-2310-6946
Roel VermeulenInstitute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands.ORCID 0000-0003-4082-8163
Anjoeka PronkResearch Group Risk Analysis for Products in Development, The Netherlands Organisation for applied scientific research, Utrecht, Netherlands.
Benjamin M GyoriLaboratory of Systems Pharmacology, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0001-9439-5346
John A BachmanLaboratory of Systems Pharmacology, Harvard Medical School, Boston, Massachusetts, USA.
Jelle VlaanderenInstitute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands.ORCID 0000-0002-9096-692X
Rob StierumResearch Group Risk Analysis for Products in Development, The Netherlands Organisation for applied scientific research, Utrecht, Netherlands.ORCID 0000-0002-4409-1974
Netherlands Organisation for Applied Scientific Research · NLHarvard University · USUtrecht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMechanistic data is increasingly used in hazard identification of chemicals. However, the volume of data is large, challenging the efficient identification and clustering of relevant data.

objectivesWe investigated whether evidence identification for hazard assessment can become more efficient and informed through an automated approach that combines machine reading of publications with network visualization tools.

methodsWe chose 13 chemicals that were evaluated by the International Agency for Research on Cancer (IARC)

resultsWe found, in general, larger networks for those chemicals which the IARC has evaluated the evidence to be strong for KCC induction. Larger networks were not directly linked to publication count, given that we retrieved small networks for several chemicals with little support for KCC activation according to the IARC, despite the significant volume of literature for these specific chemicals. In addition, interpreting networks for genotoxicity and DNA repair showed concordance with the IARC KCC evaluation. DISCUSSION: Our method is an automated approach to condense mechanistic literature into searchable and interpretable networks based on an

Indexed as

CarcinogensNeoplasmsBenzeneDatabases, FactualHumansRisk AssessmentBenzeneCarcinogens

Identifiers

PMID35238605
PMCPMC8893280
OpenAlexW4214902245

What OpenQuestion holds

Textmetadata
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.