Evidence map›Paper›PMID 41279574›Full record

ArticlebioRxiv : the preprint server for biology2025

Deletion of

Josiah D Walsh, Diego Scala-Chavez, Andrew S Lee, Arlene Martínez-Rivera, Anjali M Rajadhyaksha

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Josiah D WalshCenter for Substance Abuse Research, Lewis Katz School of Medicine at Temple University, Philadelphia, PA 19140, USA.ORCID 0009-0000-7790-6116
Diego Scala-ChavezDivision of Pediatric Neurology, Department of Pediatrics, Weill Cornell Medicine, New York, NY 10065, USA.
Andrew S LeeNeuroscience Program, Weill Cornell Graduate School of Medical Sciences, New York 10065, NY, USA.ORCID 0000-0003-4874-1767
Arlene Martínez-RiveraCenter for Substance Abuse Research, Lewis Katz School of Medicine at Temple University, Philadelphia, PA 19140, USA.ORCID 0000-0002-4180-1635
Anjali M RajadhyakshaCenter for Substance Abuse Research, Lewis Katz School of Medicine at Temple University, Philadelphia, PA 19140, USA.ORCID 0000-0002-8399-5466

Funding

J. NRSA Training CoreTL1TR002386 · NCATS · WEILL MEDICAL COLL OF CORNELL UNIV · PI Genevieve Giny Fouda Amou ou · 2017 to 2026
$5.8M
Circuit and Synaptic Mechanisms of Endocannabinoid-Opioid CrosstalkR01DA054368 · NIDA · WEILL MEDICAL COLL OF CORNELL UNIV · PI Francis Sang Yong Lee, Anjali M Rajadhyaksha · 2022 to 2026
$3.5M
Molecular and circuit defects underlying different SCN2A mutations and ASDsR01MH118934 · NIMH · WEILL MEDICAL COLL OF CORNELL UNIV · PI PITT, GEOFFREY S · 2019 to 2023
$3.2M
Investigating the mechanistic contribution of Cav1.2 channels in extinction of cocaine-associated memoriesR01DA053261 · NIDA · WEILL MEDICAL COLL OF CORNELL UNIV · PI Anjali M Rajadhyaksha · 2022 to 2026
$2.6M
GABAergic Interneuron Dysfunction in Developing Cortical Circuits Underlying Autism Spectrum DisordersR01MH125006 · NIMH · WEILL MEDICAL COLL OF CORNELL UNIV · PI DE MARCO GARCIA, NATALIA VANESA, RAJADHYAKSHA, ANJALI M · 2021 to 2025
$2.1M
NCATS NIH HHS TL1 TR002386NIDA NIH HHS R01 DA053261NIDA NIH HHS R01 DA054368NIMH NIH HHS R01 MH118934NIMH NIH HHS R01 MH125006
6 · The paper itself

Abstract

Dopamine signaling is critical for cognitive and emotional regulation and is implicated in multiple neuropsychiatric disorders. One downstream effector of dopamine is the L-type calcium channel Ca

Indexed as

Cacna1c (CaV1.2)dopamine 1 receptor (D1)memorysex-differences

Identifiers

PMID41279574
PMCPMC12636588

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.