Evidence map›Paper›PMID 34055235›Full record

ArticleACS medicinal chemistry letters2021

Leveraging Open Science Drug Development for PET: Preliminary Neuroimaging of

Emily Murrell, Junchao Tong, David Smil, Taira Kiyota, Ahmed M Aman, Methvin B Isaac, Iain D G Watson, Neil Vasdev

Open access · bronzeAbstract read
In one paragraph

Article in ACS medicinal chemistry letters, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. 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

8 authors at 2 institutions in 1 country.

Emily MurrellAzrieli Centre for Neuro-Radiochemistry, Brain Health Imaging Centre, Centre for Addiction and Mental Health (CAMH), 250 College St., M5T 1R8, Toronto, Ontario Canada.
Junchao TongAzrieli Centre for Neuro-Radiochemistry, Brain Health Imaging Centre, Centre for Addiction and Mental Health (CAMH), 250 College St., M5T 1R8, Toronto, Ontario Canada.
David SmilDrug Discovery Program, Ontario Institute for Cancer Research, 661 University Avenue, M5G 0A3, Toronto, Ontario Canada.ORCID 0000-0002-6232-6087
Taira KiyotaDrug Discovery Program, Ontario Institute for Cancer Research, 661 University Avenue, M5G 0A3, Toronto, Ontario Canada.
Ahmed M AmanDrug Discovery Program, Ontario Institute for Cancer Research, 661 University Avenue, M5G 0A3, Toronto, Ontario Canada.
Methvin B IsaacDrug Discovery Program, Ontario Institute for Cancer Research, 661 University Avenue, M5G 0A3, Toronto, Ontario Canada.
Iain D G WatsonDrug Discovery Program, Ontario Institute for Cancer Research, 661 University Avenue, M5G 0A3, Toronto, Ontario Canada.ORCID 0000-0003-3508-3240
Neil VasdevAzrieli Centre for Neuro-Radiochemistry, Brain Health Imaging Centre, Centre for Addiction and Mental Health (CAMH), 250 College St., M5T 1R8, Toronto, Ontario Canada.ORCID 0000-0002-2087-5125
Ontario Institute for Cancer Research · CACentre for Addiction and Mental Health · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mutations in the gene encoding activin receptor-like kinase 2 (ALK2) are implicated in the pathophysiology of a pediatric brainstem cancer, diffuse intrinsic pontine glioma (DIPG). Inhibitors of ALK2 that cross the blood-brain barrier have been proposed as a method of treatment for DIPG. As part of an open science approach to radiopharmaceutical and drug discovery, we developed

Identifiers

PMID34055235
PMCPMC8155239
OpenAlexW3163768133

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.