Evidence map›Paper›PMID 39404984›Full record

ArticleEJNMMI research2024

All that glitters is not gold: high uptake on PSMA PET in non-prostate cancers does not mean that treatment with [

Trond Velde Bogsrud, Ola Engelsen, Thuy Thu Thi Lu, Andreas Stensvold, Derek R Johnson, Brian J Burkett, Ayse Tuba Kendi, Mukesh K Pandey, Rune Sundset, Jolanta M Durski

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in EJNMMI research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Quantitative [Molecular imaging and biology · 2026
    Trial
  2. Prospective head-to-head comparison of [European journal of nuclear medicine and molecular imaging · 2026
    Article
  3. Breakthroughs in malignancy therapy: New advances and emerging trends in renal cell carcinoma.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2026
    Article
  4. Uridine-Based PET/NIRF Dual-Modality imaging for precision tumor diagnosis and surgery.European journal of nuclear medicine and molecular imaging · 2026
    Article
  5. Review
  6. Review
  7. Article
  8. 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

10 authors.

Trond Velde BogsrudPET-Imaging Center, University Hospital of North Norway, Tromso, Norway. trond.bogsrud@unn.no.ORCID http://orcid.org/0000-0002-9451-4648
Ola EngelsenPET-Imaging Center, University Hospital of North Norway, Tromso, Norway.
Thuy Thu Thi LuPET-Imaging Center, University Hospital of North Norway, Tromso, Norway.
Andreas StensvoldDepartment of Oncology, Ostfold Hospital, Kalnes, Norway.
Derek R JohnsonDivision of Nuclear Medicine, Department of Radiology, Mayo Clinic, Rochester, MN, USA.
Brian J BurkettDivision of Nuclear Medicine, Department of Radiology, Mayo Clinic, Rochester, MN, USA.
Ayse Tuba KendiDivision of Nuclear Medicine, Department of Radiology, Mayo Clinic, Rochester, MN, USA.
Mukesh K PandeyDivision of Nuclear Medicine, Department of Radiology, Mayo Clinic, Rochester, MN, USA.
Rune SundsetPET-Imaging Center, University Hospital of North Norway, Tromso, Norway.
Jolanta M DurskiDivision of Nuclear Medicine, Department of Radiology, Mayo Clinic, Rochester, MN, USA.

Funding

Ostfold Hospital, Kalnes Ostfold Hospital, Kalnes
6 · The paper itself

Abstract

backgroundThe main objective is to discuss why treatment of non-prostate cancers with [ CASE PRESENTATION: [

conclusionRapid tumor washout of [

Indexed as

[177Lu]-PSMA-RLInternalizationNeovasculatureNon-prostate cancerTumor retention

Identifiers

PMID39404984
PMCPMC11480294

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.