Evidence map›Paper›PMID 38468757›Full record

ArticleFrontiers in insect science2022

Modeling-informed Engineered Genetic Incompatibility strategies to overcome resistance in the invasive

Adam Sychla, Nathan R Feltman, William D Hutchison, Michael J Smanski

Erratum issuedOpen access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in insect science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 39% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Adam SychlaDepartment of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota, Saint Paul, MN, United States.
Nathan R FeltmanDepartment of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota, Saint Paul, MN, United States.
William D HutchisonDepartment of Entomology, University of Minnesota, Saint Paul, MN, United States.
Michael J SmanskiDepartment of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota, Saint Paul, MN, United States.
University of Minnesota · USBiotechnology Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Engineered Genetic Incompatibility (EGI) is an engineered extreme underdominance genetic system wherein hybrid animals are not viable, functioning as a synthetic speciation event. There are several strategies in which EGI could be leveraged for genetic biocontrol of pest populations. We used an agent-based model of

Indexed as

agent-based modelinggenetic biocontrolincompatible insect technique (IIT)resistancespotted wing drosophila

Identifiers

PMID38468757
PMCPMC10926386
OpenAlexW4309534536

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.