Evidence map›Paper›PMID 31752483›Full record

SynthesisEnvironmental science & technology2020

Common Gene Expression Patterns in Environmental Model Organisms Exposed to Engineered Nanomaterials: A Meta-Analysis.

Michael Burkard, Alexander Betz, Kristin Schirmer, Anze Zupanic

Abstract readMeta-Analysis
In one paragraph

Synthesis in Environmental science & technology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Neurotoxicology of Nanomaterials.Chemical research in toxicology · 2020
    Review
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

4 authors.

Michael BurkardSwiss Federal Institute of Technology, Eawag, 8600 Dübendorf, Switzerland.
Alexander BetzSwiss Federal Institute of Technology, Eawag, 8600 Dübendorf, Switzerland.
Kristin SchirmerSwiss Federal Institute of Technology, Eawag, 8600 Dübendorf, Switzerland.ORCID 0000-0003-1116-4724
Anze ZupanicSwiss Federal Institute of Technology, Eawag, 8600 Dübendorf, Switzerland.ORCID 0000-0003-3303-9086

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of omics is gaining importance in the field of nanoecotoxicology; an increasing number of studies are aiming to investigate the effects and modes of action of engineered nanomaterials (ENMs) in this way. However, a systematic synthesis of the outcome of such studies regarding common responses and toxicity pathways is currently lacking. We developed an R-scripted computational pipeline to perform reanalysis and functional analysis of relevant transcriptomic data sets using a common approach, independent from the ENM type, and across different organisms, including

Indexed as

ArabidopsisNanostructuresDNA MethylationDNA RepairGene Expression

Identifiers

PMID31752483
PMCPMC6950232

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.