Evidence map›Paper›PMID 36865197›Full record

ArticlebioRxiv : the preprint server for biology2023

Pleiotropic contribution of

Ester Antón-Galindo, Maja Adel, Judit García-Gonzalez, Adele Leggieri, Laura López-Blanch, Manuel Irimia, William Hj Norton, Caroline H Brennan, Noèlia Fernàndez-Castillo, Bru Cormand

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 6 institutions in 4 countries.

Ester Antón-GalindoDepartament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona, Barcelona, Catalunya, 08028, Spain.
Maja AdelDepartament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona, Barcelona, Catalunya, 08028, Spain.
Judit García-GonzalezSchool of Biological and Behavioural Sciences, Queen Mary University of London, London E1 4NS, UK.
Adele LeggieriSchool of Biological and Behavioural Sciences, Queen Mary University of London, London E1 4NS, UK.
Laura López-BlanchCentre for Genomic Regulation, Barcelona Institute of Science and Technology, 08003 Barcelona, Spain.
Manuel IrimiaCentre for Genomic Regulation, Barcelona Institute of Science and Technology, 08003 Barcelona, Spain.
William Hj NortonDepartment of Genetics and Genome Biology, College of Life Sciences, University of Leicester, Leicester, LE1 7RH, United Kingdom.
Caroline H BrennanSchool of Biological and Behavioural Sciences, Queen Mary University of London, London E1 4NS, UK.
Noèlia Fernàndez-CastilloDepartament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona, Barcelona, Catalunya, 08028, Spain.
Bru CormandDepartament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona, Barcelona, Catalunya, 08028, Spain.
Queen Mary University of London · GBUniversitat Internacional de Catalunya · ESCentre for Genomic Regulation · ESGoethe University Frankfurt · DEInstitució Catalana de Recerca i Estudis Avançats · ESUniversity of Leicester · GB

Funding

Exploiting zebrafish genetics to identify genes affecting addiction-related phenotypes.U01DA044400 · NIDA · UNIV/LONDON-QUEEN MARY& WESTFIELD COLL · PI BRENNAN, CAROLINE HELEN, BUSCH-NENTWICH, ELISABETH MARIE · 2018 to 2022
$2.0M
NIDA NIH HHS U01 DA044400
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID36865197
PMCPMC9980121
OpenAlexW4321605162

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.