Evidence map›Paper›PMID 40401727›Full record

ArticleBiometrical journal. Biometrische Zeitschrift2025

Estimating the Optimal Time to Perform a Positron Emission Tomography With Prostate-Specific Membrane Antigen in Prostatectomized Patients, Based on Data From Clinical Practice.

Martina Amongero, Gianluca Mastrantonio, Stefano De Luca, Mauro Gasparini

Abstract read
In one paragraph

Article in Biometrical journal. Biometrische Zeitschrift, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Martina AmongeroDepartment of Economics, Social Studies, Applied Mathematics, and Statistics, Universitá di Torino, Torino, Italy.ORCID 0000-0003-3514-6803
Gianluca MastrantonioDepartment of Mathematical Sciences, Politecnico di Torino, Torino, Italy.
Stefano De LucaDepartment of Urology, Universitá di Torino, Orbassano, Italy.
Mauro GaspariniDepartment of Mathematical Sciences, Politecnico di Torino, Torino, Italy.ORCID 0000-0001-8011-4005

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostatectomized patients are at risk of resurgence, and for this reason, during a follow-up period, they are monitored for prostate-specific antigen (PSA) growth, an indicator of tumor progression. The presence of tumors can be evaluated with an expensive exam, called positron emission tomography with prostate-specific membrane antigen (PET-PSMA). To justify the high cost of the PET-PSMA and, at the same time, to contain the risk for the patient, this exam should be recommended only when the evidence of tumor progression is strong. With the aim of estimating the optimal time to recommend the exam based on the patient's history and collected data, we build a hierarchical Bayesian model that describes, jointly, the PSA growth curve and the probability of a positive PET-PSMA. With our proposal, we process all past and present information about the patients PSA measurement and PET-PSMA results, in order to give an informed estimate of the optimal time, improving current practice.

Indexed as

Antigens, SurfaceGlutamate Carboxypeptidase IIPositron-Emission TomographyProstatectomyProstatic NeoplasmsBayes TheoremHumansMaleProstate-Specific AntigenTime FactorsAntigens, SurfaceFOLH1 protein, humanGlutamate Carboxypeptidase IIProstate-Specific AntigenBayesian modelingjoint modeloptimal timePET‐PSMAPSA resurgence

Identifiers

PMID40401727
PMCPMC12096819

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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.