Evidence map›Paper›PMID 33354182›Full record

ArticleWorld journal of nuclear medicine

An overview on prostate-specific membrane antigen uptake in malignancies other than prostate cancer: A pictorial essay.

Esmail Jafari, Hojjat Ahmadzadehfar, Habibollah Dadgar, Majid Assadi

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

Article in World journal of nuclear medicine. 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
0.8field-weighted citation impact, top 24% 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, 10 citations in OpenAlex.

  1. Fully GMP-complient radiosynthesis of [EJNMMI radiopharmacy and chemistry · 2026
    Article
  2. Article
  3. A convolutional neural network-based system for fully automatic segmentation of whole-body [European journal of nuclear medicine and molecular imaging · 2024
    Article
  4. Advances in PSMA-targeted therapy for prostate cancer.Prostate cancer and prostatic diseases · 2022
    Review
  5. Detection of Docetaxel-induced Interstitial Pneumonitis on Ga-68 PSMA PET/CT Imaging.Indian journal of nuclear medicine : IJNM : the official journal of the Society of Nuclear Medicine, India
    Article
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

4 authors at 3 institutions in 2 countries.

Esmail JafariDepartment of Molecular Imaging and Radionuclide Therapy, The Persian Gulf Nuclear Medicine Research Center, Bushehr Medical University Hospital, Bushehr University of Medical Sciences, Bushehr, Iran.
Hojjat AhmadzadehfarDepartment of Nuclear Medicine, University Hospital Bonn, Bonn, Germany.
Habibollah DadgarCancer Research Center, RAZAVI Hospital, Imam Reza International University, Mashhad, Iran.
Majid AssadiDepartment of Molecular Imaging and Radionuclide Therapy, The Persian Gulf Nuclear Medicine Research Center, Bushehr Medical University Hospital, Bushehr University of Medical Sciences, Bushehr, Iran.
Bushehr University of Medical Sciences · IRImam Reza International University · IRUniversity Hospital Bonn · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate-specific membrane antigen (PSMA) is a Type II transmembrane glycoprotein which is extremely overexpressed in prostate cancer epithelial cells. Recently, PSMA-targeted small molecule labeled with

Indexed as

68Ga-prostate-specific membrane antigen positron-emission tomography/computed tomography99mTc-prostate-specific membrane antigen scintigraphyprostate cancerprostate-specific membrane antigen and nonspecific uptake

Identifiers

PMID33354182
PMCPMC7745855
OpenAlexW3084519881

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.