Evidence map›Paper›PMID 35907096›Full record

ArticleEJNMMI research2022

Toward in vivo proof of binding of

Melinda Wuest, Justin J Bailey, Jennifer Dufour, Darryl Glubrecht, Vanessa Omana, Tom H Johnston, Jonathan M Brotchie, Ralf Schirrmacher

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

Article in EJNMMI research, 2022. 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
0.2field-weighted citation impact, top 46% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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 3 institutions in 1 country.

Melinda WuestDepartment of Oncology, Cross Cancer Institute, University of Alberta, 11560 University Ave, Edmonton, AB, T6G 1Z2, Canada. mwuest@ualberta.ca.ORCID http://orcid.org/0000-0003-0735-2749
Justin J BaileyDepartment of Oncology, Cross Cancer Institute, University of Alberta, 11560 University Ave, Edmonton, AB, T6G 1Z2, Canada.
Jennifer DufourDepartment of Oncology, Cross Cancer Institute, University of Alberta, 11560 University Ave, Edmonton, AB, T6G 1Z2, Canada.
Darryl GlubrechtDepartment of Oncology, Cross Cancer Institute, University of Alberta, 11560 University Ave, Edmonton, AB, T6G 1Z2, Canada.
Vanessa OmanaThe Neuro - Montreal Neurological Institute-Hospital, McGill University, Montreal, QC, Canada.
Tom H JohnstonKrembil Research Institute, University Health Network, Toronto, ON, Canada.
Jonathan M BrotchieKrembil Research Institute, University Health Network, Toronto, ON, Canada.
Ralf SchirrmacherDepartment of Oncology, Cross Cancer Institute, University of Alberta, 11560 University Ave, Edmonton, AB, T6G 1Z2, Canada. schirrma@ualberta.ca.
University of Alberta · CAUniversity Health Network · CAMontreal Neurological Institute and Hospital · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTropomyosin receptor kinases (TrkA, TrkB, TrkC) are a family of tyrosine kinases primarily expressed in neuronal cells of the brain. Identification of oncogenic alterations in Trk expression as a driver in multiple tumor types has increased interest in their role in human cancers. Recently, first- and second-generation

methodsIn vitro uptake and competition experiments were carried out using the colorectal cancer cell line KM12. Dynamic PET experiments were performed with [

resultsUptake of [

conclusionThe present data show that radiotracer [

Indexed as

[18F]TRACKMolecular imagingPETRadiotracerTrkATrkB

Identifiers

PMID35907096
PMCPMC9339071
OpenAlexW4288749431

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.