Evidence map›Paper›PMID 37568905›Full record

ReviewDiagnostics (Basel, Switzerland)2023

Sentinel Lymph Node Biopsy in Prostate Cancer: An Overview of Diagnostic Performance, Oncological Outcomes, Safety, and Feasibility.

Giulio Rossin, Federico Zorzi, Pedro De Pablos-Rodríguez, Arianna Biasatti, Josè Marenco, Luca Ongaro, Alessandro Perotti, Gabriele Tulone, Fabio Traunero, Andrea Piasentin and 8 more

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2023. 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
2.6field-weighted citation impact, top 10% 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. Article
  2. Review
  3. Review
  4. Review
  5. 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

18 authors at 4 institutions in 2 countries.

Giulio RossinUrological Clinic, Department of Medicine, Surgery and Health Sciences, University of Trieste, Strada di Fiume, 447, 34149 Trieste, Italy.
Federico ZorziUrological Clinic, Department of Medicine, Surgery and Health Sciences, University of Trieste, Strada di Fiume, 447, 34149 Trieste, Italy.ORCID 0009-0000-5593-5995
Pedro De Pablos-RodríguezDepartment of Urology, Valencian Oncology Institute Foundation, FIVO, 46009 Valencia, Spain.ORCID 0000-0003-2286-9893
Arianna BiasattiUrological Clinic, Department of Medicine, Surgery and Health Sciences, University of Trieste, Strada di Fiume, 447, 34149 Trieste, Italy.
Josè MarencoDepartment of Urology, Valencian Oncology Institute Foundation, FIVO, 46009 Valencia, Spain.
Luca OngaroUrological Clinic, Department of Medicine, Surgery and Health Sciences, University of Trieste, Strada di Fiume, 447, 34149 Trieste, Italy.ORCID 0000-0001-5649-4095
Alessandro PerottiDepartment of Translational Research and New Technologies, University of Pisa, 56126 Pisa, Italy.
Gabriele TuloneUrology Clinic, Department of Surgical, Oncological and Stomatological Sciences, University of Palermo, 90133 Palermo, Italy.ORCID 0000-0002-5797-3351
Fabio TrauneroUrological Clinic, Department of Medicine, Surgery and Health Sciences, University of Trieste, Strada di Fiume, 447, 34149 Trieste, Italy.ORCID 0000-0002-3272-528X
Andrea PiasentinUrological Clinic, Department of Medicine, Surgery and Health Sciences, University of Trieste, Strada di Fiume, 447, 34149 Trieste, Italy.ORCID 0000-0001-6678-669X
Alvaro Gomez-FerrerDepartment of Urology, Valencian Oncology Institute Foundation, FIVO, 46009 Valencia, Spain.
Alessandro ZucchiDepartment of Translational Research and New Technologies, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0003-2252-4297
Carlo TrombettaUrological Clinic, Department of Medicine, Surgery and Health Sciences, University of Trieste, Strada di Fiume, 447, 34149 Trieste, Italy.ORCID 0000-0003-0237-544X
Alchiede SimonatoUrology Clinic, Department of Surgical, Oncological and Stomatological Sciences, University of Palermo, 90133 Palermo, Italy.ORCID 0000-0001-9513-4869
José Rubio-BrionesClínica de Urología, Hospital VITHAS 9 de Octubre, 46015 Valencia, Spain.
Riccardo BartolettiDepartment of Translational Research and New Technologies, University of Pisa, 56126 Pisa, Italy.
Miguel Ramírez-BackhausDepartment of Urology, Valencian Oncology Institute Foundation, FIVO, 46009 Valencia, Spain.
Francesco ClapsUrological Clinic, Department of Medicine, Surgery and Health Sciences, University of Trieste, Strada di Fiume, 447, 34149 Trieste, Italy.ORCID 0000-0003-2812-5553
University of Trieste · ITFundación Instituto Valenciano de Oncología · ESUniversity of Pisa · ITUniversity of Palermo · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sentinel node biopsy (SNB) for prostate cancer (PCa) represents an innovative technique aimed at improving nodal staging accuracy. The routinary adoption of this procedure in patients undergoing radical prostatectomy (RP) might be crucial to identify candidates who could effectively benefit from extensive pelvic lymph nodal dissection (ePLND). Despite some promising results, SNB for PCa is still considered experimental due to the lack of solid evidence and procedural standardization. In this regard, our narrative review aimed to analyze the most recent literature in this field, providing an overview of both the diagnostic accuracy measures and the oncological outcomes of SNB.

Indexed as

extended pelvic lymph node dissectionfluorescenceindocyanine greennodal stagingprostate cancerradio-guided surgerysentinel lymph nodesentinel lymph node biopsy

Identifiers

PMID37568905
PMCPMC10416990
OpenAlexW4385416389

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.