Evidence map›Paper›PMID 34977825›Full record

ArticleCurrent research in insect science2021

Capturing the transcription factor interactome in response to sub-lethal insecticide exposure.

Victoria A Ingham, Sara Elg, Sanjay C Nagi, Frank Dondelinger

Open access · goldAbstract read
In one paragraph

Article in Current research in insect science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 33% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

4 authors at 2 institutions in 1 country.

Victoria A InghamVector Biology, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, L35QA.
Sara ElgVector Biology, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, L35QA.
Sanjay C NagiVector Biology, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, L35QA.
Frank DondelingerCentre for Health Informatics, Computation and Statistics, Lancaster Medical School, Lancaster University, Bailrigg, Lancaster, LA1 4YE.
Liverpool School of Tropical Medicine · GBLancaster University · GB

Funding

Medical Research Council MR/R024839/1
6 · The paper itself

Abstract

The increasing levels of pesticide resistance in agricultural pests and disease vectors represents a threat to both food security and global health. As insecticide resistance intensity strengthens and spreads, the likelihood of a pest encountering a sub-lethal dose of pesticide dramatically increases. Here, we apply dynamic Bayesian networks to a transcriptome time-course generated using sub-lethal pyrethroid exposure on a highly resistant

Indexed as

AnophelesBayesianInsecticide resistancepesticide resistancetime coursetranscriptional responsetranscription factorstranscriptomics

Identifiers

PMID34977825
PMCPMC8702396
OpenAlexW3186458621

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.