Evidence map›Paper›PMID 38693454›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2024

Comparison of discovery rates and prognostic utility of [

Kilian Kluge, Holger Einspieler, David Haberl, Clemens Spielvogel, Dominik Amereller, Gerda Egger, Gero Kramer, Bernhard Grubmüller, Shahrokh Shariat, Marcus Hacker and 2 more

Open access · hybridAbstract readComparative Study
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

11 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
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  5. Liquid Biopsies and Molecular Imaging for Precise Cancer Management.Methods in molecular biology (Clifton, N.J.) · 2026
    Review
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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

12 authors at 4 institutions in 4 countries.

Kilian KlugeDepartment of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria.ORCID 0000-0002-4224-7314
Holger EinspielerDepartment of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria.
David HaberlDepartment of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria.
Clemens SpielvogelDepartment of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria.
Dominik AmerellerDepartment of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria.
Gerda EggerDepartment of Pathology, Medical University of Vienna, Vienna, Austria.
Gero KramerDepartment of Urology, Medical University of Vienna, Vienna, Austria.
Bernhard GrubmüllerDepartment of Urology and Andrology, University Hospital Krems, Krems, Austria.
Shahrokh ShariatDepartment of Urology, Medical University of Vienna, Vienna, Austria.
Marcus HackerDepartment of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria.
Lukas KennerChristian Doppler Laboratory for Applied Metabolomics (CDL AM), Medical University of Vienna, Vienna, Austria.
Alexander HaugDepartment of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria. alexander.haug@meduniwien.ac.at.ORCID 0000-0002-8308-6174
Christian Doppler Laboratory for Thermoelectricity · ATMedical University of Vienna · ATUniversitätsklinikum Krems · ATUniversity of Jordan · JO

Funding

Christian Doppler Forschungsgesellschaft CD10277102
6 · The paper itself

Abstract

backgroundCirculating-tumor DNA (ctDNA) and prostate-specific membrane antigen (PSMA) ligand positron-emission tomography (PET) enable minimal-invasive prostate cancer (PCa) detection and survival prognostication. The present study aims to compare their tumor discovery abilities and prognostic values.

methodsOne hundred thirty men with confirmed PCa (70.5 ± 8.0 years) who underwent [

resultsPSMA PET discovery rates according to castration status and PSA ranges did differ significantly (P = 0.013, P < 0.001), while ctDNA discovery rates did not (P = 0.311, P = 0.123). ctDNA discovery rates differed between localized and metastatic disease (P = 0.013). Correlations between ctDNA concentrations and PSMA-positive tumor volume (PSMA-TV) were significant in all (r = 0.42, P < 0.001) and castration-resistant (r = 0.65, P < 0.001), however not in hormone-sensitive patients (r = 0.15, P = 0.249). PSMA-TV and ctDNA levels were associated with survival outcomes in the Logrank (P < 0.0001, P < 0.0001) and multivariate Cox regression analysis (P = 0.0023, P < 0.0001).

conclusionThese findings suggest that PSMA PET imaging outperforms ctDNA analysis in detecting prostate cancer across the whole spectrum of disease, while both modalities are independently highly prognostic for survival outcomes.

Indexed as

Circulating Tumor DNAEdetic AcidGallium IsotopesGallium RadioisotopesPositron Emission Tomography Computed TomographyProstatic NeoplasmsAgedCross-Sectional StudiesHumansMaleMiddle AgedOligopeptidesPrognosisCirculating Tumor DNAEdetic Acidgallium 68 PSMA-11Gallium IsotopesGallium RadioisotopesOligopeptidesPSMA-11ctDNALiquid biopsyPET/CTProstate cancerPSMA

Identifiers

PMID38693454
PMCPMC11224100
OpenAlexW4396589314

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.