Evidence map›Paper›PMID 40534678›Full record

ArticleACS pharmacology & translational science2025

Szilvia Bunda, Ibolya Kálmán-Szabó, Dezső Szikra, Anikó Fekete, Dániel Szücs, Judit Péliné Szabó, György Trencsényi, Zita Képes, Ferenc K Kálmán

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS pharmacology & translational science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Szilvia BundaDepartment of Physical Chemistry, University of Debrecen, H-4032 Debrecen, Egyetem tér 1, Hungary.ORCID https://orcid.org/0000-0002-9490-8479
Ibolya Kálmán-SzabóDivision of Nuclear Medicine and Translational Imaging, Department of Medical Imaging, University of Debrecen, H-4032 Debrecen, Egyetem tér 1, Hungary.
Dezső SzikraDivision of Nuclear Medicine and Translational Imaging, Department of Medical Imaging, University of Debrecen, H-4032 Debrecen, Egyetem tér 1, Hungary.
Anikó FeketeDivision of Nuclear Medicine and Translational Imaging, Department of Medical Imaging, University of Debrecen, H-4032 Debrecen, Egyetem tér 1, Hungary.
Dániel SzücsDivision of Nuclear Medicine and Translational Imaging, Department of Medical Imaging, University of Debrecen, H-4032 Debrecen, Egyetem tér 1, Hungary.
Judit Péliné SzabóDivision of Nuclear Medicine and Translational Imaging, Department of Medical Imaging, University of Debrecen, H-4032 Debrecen, Egyetem tér 1, Hungary.
György TrencsényiDivision of Nuclear Medicine and Translational Imaging, Department of Medical Imaging, University of Debrecen, H-4032 Debrecen, Egyetem tér 1, Hungary.
Zita KépesDivision of Nuclear Medicine and Translational Imaging, Department of Medical Imaging, University of Debrecen, H-4032 Debrecen, Egyetem tér 1, Hungary.
Ferenc K KálmánDepartment of Physical Chemistry, University of Debrecen, H-4032 Debrecen, Egyetem tér 1, Hungary.ORCID https://orcid.org/0000-0001-9000-2779

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The introduction of radiopharmaceuticals targeting prostate-specific membrane antigen (PSMA) has revolutionized the molecular imaging of prostate cancer (PCa); however, due to the potential downsides of the commonly used labeling entities (gallium-68/fluorine-18), the role of alternative isotopes is emerging. Given the desirable physical characteristics of positron emitter copper-61 (

Indexed as

copper-61PETpreclinical imagingprostate cancerPSMAradiopharmaceutical

Identifiers

PMID40534678
PMCPMC12171877

What OpenQuestion holds

Textmetadata
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.