Evidence map›Paper›PMID 38822051›Full record

SynthesisProstate cancer and prostatic diseases2025

A systematic review and meta-analysis to evaluate the diagnostic accuracy of PSMA PET/CT in the initial staging of prostate cancer.

Andrea Mari, Anna Cadenar, Sofia Giudici, Gemma Cianchi, Simone Albisinni, Riccardo Autorino, Fabrizio Di Maida, Giorgio Gandaglia, M Carmen Mir, Massimo Valerio and 10 more

Abstract readSystematic ReviewMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Prostate cancer and prostatic diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  14. Prospective Head-to-Head Comparison ofJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2025
    Article
  15. Targeting glutamate carboxypeptidase II in IBD.Advances in pharmacology (San Diego, Calif.) · 2024
    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

20 authors.

Andrea Mari *Oncologic Minimally Invasive Urology and Andrology Unit, Department of Experimental and Clinical Medicine, Careggi Hospital, University of Florence, 50121, Florence, Italy. andrea.mari@unifi.it.ORCID http://orcid.org/0000-0001-9070-5706
Anna Cadenar *Oncologic Minimally Invasive Urology and Andrology Unit, Department of Experimental and Clinical Medicine, Careggi Hospital, University of Florence, 50121, Florence, Italy.ORCID http://orcid.org/0000-0001-7782-2318
Sofia GiudiciOncologic Minimally Invasive Urology and Andrology Unit, Department of Experimental and Clinical Medicine, Careggi Hospital, University of Florence, 50121, Florence, Italy.
Gemma CianchiOncologic Minimally Invasive Urology and Andrology Unit, Department of Experimental and Clinical Medicine, Careggi Hospital, University of Florence, 50121, Florence, Italy.ORCID http://orcid.org/0009-0000-2835-1345
Simone AlbisinniUrology Unit, Department of Surgical Sciences, Tor Vergata University Hospital, University of Rome Tor Vergata, Rome, Italy.ORCID http://orcid.org/0000-0001-5529-3064
Riccardo AutorinoDepartment of Urology, Rush University Medical Center, Chicago, IL, USA.ORCID http://orcid.org/0000-0001-7045-7725
Fabrizio Di MaidaOncologic Minimally Invasive Urology and Andrology Unit, Department of Experimental and Clinical Medicine, Careggi Hospital, University of Florence, 50121, Florence, Italy.ORCID http://orcid.org/0000-0003-1885-4808
Giorgio GandagliaDepartment of Urology and Division of Experimental Oncology, URI, Urological Research Institute, IRCCS San Raffaele Scientific Institute, 20132, Milan, Italy.
M Carmen MirDepartment of Urology, Hospital Universitario La Ribera, Valencia, Spain.ORCID http://orcid.org/0000-0002-1391-1378
Massimo ValerioDepartment of Urology, University Hospital of Geneva, Geneva, Switzerland.
Giancarlo MarraDivision of Urology, Department of Surgical Sciences, University of Turin and Città della Salute e della Scienza, Turin, Italy.
Fabio ZattoniDepartment Surgery, Oncology and Gastroenterology, Urologic Unit, University of Padova, Padova, Italy.
Lorenzo BianchiDivision of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.ORCID http://orcid.org/0000-0001-7321-1536
Riccardo LombardoDepartment of Urology, Sant'Andrea Hospital, Sapienza University, Rome, Italy.ORCID http://orcid.org/0000-0003-2890-3159
Shahrokh F ShariatDepartment of Urology, Medical University of Vienna, Vienna, Austria.ORCID http://orcid.org/0000-0002-6627-6179
Morgan RoupretUrology, Predictive Onco-Urology, AP-HP, Urology Hôpital Pitié-Salpêtrière, Sorbonne Université, Paris, France.
Matteo BaucknehtNuclear Medicine, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.ORCID http://orcid.org/0000-0002-1937-9116
Luca VaggelliNuclear Medicine Division, Careggi University Hospital, Florence, Italy.
Cosimo De NunzioDepartment of Urology, Sant'Andrea Hospital, Sapienza University, Rome, Italy.ORCID http://orcid.org/0000-0002-2190-512X
Andrea MinerviniOncologic Minimally Invasive Urology and Andrology Unit, Department of Experimental and Clinical Medicine, Careggi Hospital, University of Florence, 50121, Florence, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPositron Emission Tomography-Computed Tomography using Prostate-Specific Membrane Antigen (PSMA PET/CT) is notable for its superior sensitivity and specificity in detecting recurrent PCa and is under investigation for its potential in pre-treatment staging. Despite its established efficacy in nodal and metastasis staging in trial setting, its role in primary staging awaits fuller validation due to limited evidence on oncologic outcomes. This systematic review and meta-analysis aims to appraise the diagnostic accuracy of PSMA PET/CT compared to CI for comprehensive PCa staging.

methodsMedline, Scopus and Web of science databases were searched till March 2023. Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines were followed to identify eligible studies. Primary outcomes were specificity, sensitivity, positive predictive value (PPV) and negative predictive value (NPV) of PSMA PET/CT for local, nodal and metastatic staging in PCa patients. Due to the unavailability of data, a meta-analysis was feasible only for detection of seminal vesicles invasion (SVI) and LNI.

resultsA total of 49 studies, comprising 3876 patients, were included. Of these, 6 investigated accuracy of PSMA PET/CT in detection of SVI. Pooled sensitivity, specificity, PPV and NPV were 42.29% (95%CI: 29.85-55.78%), 87.59% (95%CI: 77.10%-93.67%), 93.39% (95%CI: 74.95%-98.52%) and 86.60% (95%CI: 58.83%-96.69%), respectively. Heterogeneity analysis revealed significant variability for PPV and NPV. 18 studies investigated PSMA PET/CT accuracy in detection of LNI. Aggregate sensitivity, specificity, PPV and NPV were 43.63% (95%CI: 34.19-53.56%), 85.55% (95%CI: 75.95%-91.74%), 67.47% (95%CI: 52.42%-79.6%) and 83.61% (95%CI: 79.19%-87.24%). No significant heterogeneity was found between studies.

conclusionsThe present systematic review and meta-analysis highlights PSMA PET-CT effectiveness in detecting SVI and its good accuracy in LNI compared to CI. Nonetheless, it also reveals a lack of high-quality research on its performance in clinical T staging, extraprostatic extension and distant metastasis evaluation, emphasizing the need for further rigorous studies.

Indexed as

Glutamate Carboxypeptidase IIPositron Emission Tomography Computed TomographyProstatic NeoplasmsAntigens, SurfaceHumansMaleNeoplasm StagingSensitivity and SpecificityAntigens, SurfaceFOLH1 protein, humanGlutamate Carboxypeptidase II

Identifiers

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Registered trials

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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.