Evidence map›Paper›PMID 37185294›Full record

ArticleeNeuro2023

A Targeted, Low-Throughput Compound Screen in a

Alex Dyson, Megan Ryan, Shruti Garg, D Gareth Evans, Richard A Baines

Open access · goldAbstract read
In one paragraph

Article in eNeuro, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Review
  3. Modeling neurodegenerative and neurodevelopmental disorders in theLearning & memory (Cold Spring Harbor, N.Y.) · 2024
    Review
  4. Cells · 2024
    Review
  5. Article
  6. 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

5 authors at 1 institution in 2 countries.

Alex DysonDivision of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester M13 9PT, United Kingdom.ORCID 0000-0001-8498-1691
Megan RyanDivision of Neuroscience, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester M13 9PT, United Kingdom.
Shruti GargDivision of Neuroscience, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester M13 9PT, United Kingdom.
D Gareth EvansDivision of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester M13 9PT, United Kingdom.
Richard A BainesDivision of Neuroscience, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester M13 9PT, United Kingdom richard.baines@manchester.ac.uk.ORCID 0000-0001-8571-4376
Manchester Academic Health Science Centre · GB

Funding

Biotechnology and Biological Sciences Research Council BB/L027690/1Wellcome Trust 087742/Z/08/Z
6 · The paper itself

Abstract

Autism spectrum disorder (ASD) is a common neurodevelopmental condition for which there are no pharmacological therapies that effectively target its core symptomatology. Animal models of syndromic forms of ASD, such as neurofibromatosis type 1, may be of use in screening for such treatments.

Indexed as

Autism Spectrum DisorderNeurofibromatosis 1AnimalsDrosophilaIndolesSimvastatinBMS204352IndolesSimvastatinautism spectrum disorderDrosophiladrug screeningneurofibromatosis type 1Nf1

Identifiers

PMID37185294
PMCPMC10198605
OpenAlexW4367060008

What Socratic 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 Socratic graph.