Evidence map›Paper›PMID 36765540›Full record

ArticleCancers2023

Performance of Node-RADS Scoring System for a Standardized Assessment of Regional Lymph Nodes in Bladder Cancer Patients.

Costantino Leonardo, Rocco Simone Flammia, Sara Lucciola, Flavia Proietti, Martina Pecoraro, Bruno Bucca, Leslie Claire Licari, Antonella Borrelli, Eugenio Bologna, Nicholas Landini and 7 more

Abstract read
In one paragraph

Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 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

28 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Article
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  5. Node-RADS in cervical cancer: a multi-reader agreement and diagnostic performance study.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026
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  12. Development and validation of MRI-based models to predict lymph node metastasis in bladder cancer: a multi-center study.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026
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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

17 authors.

Costantino LeonardoDepartment of Maternal Infant and Urological Sciences, Sapienza University Rome, Policlinico Umberto I Hospital, 00161 Rome, Italy.
Rocco Simone FlammiaDepartment of Maternal Infant and Urological Sciences, Sapienza University Rome, Policlinico Umberto I Hospital, 00161 Rome, Italy.ORCID 0000-0002-3129-0544
Sara LucciolaDepartment of Radiological Sciences, Oncology and Pathology, Sapienza University, 00161 Rome, Italy.
Flavia ProiettiDepartment of Maternal Infant and Urological Sciences, Sapienza University Rome, Policlinico Umberto I Hospital, 00161 Rome, Italy.ORCID 0000-0002-6478-8584
Martina PecoraroDepartment of Radiological Sciences, Oncology and Pathology, Sapienza University, 00161 Rome, Italy.ORCID 0000-0001-5180-7865
Bruno BuccaDepartment of Maternal Infant and Urological Sciences, Sapienza University Rome, Policlinico Umberto I Hospital, 00161 Rome, Italy.
Leslie Claire LicariDepartment of Maternal Infant and Urological Sciences, Sapienza University Rome, Policlinico Umberto I Hospital, 00161 Rome, Italy.ORCID 0000-0002-3274-1247
Antonella BorrelliDepartment of Radiological Sciences, Oncology and Pathology, Sapienza University, 00161 Rome, Italy.
Eugenio BolognaDepartment of Maternal Infant and Urological Sciences, Sapienza University Rome, Policlinico Umberto I Hospital, 00161 Rome, Italy.
Nicholas LandiniDepartment of Radiological Sciences, Oncology and Pathology, Sapienza University, 00161 Rome, Italy.
Maurizio Del MonteDepartment of Radiological Sciences, Oncology and Pathology, Sapienza University, 00161 Rome, Italy.
Benjamin I ChungDepartment of Urology, Standford University School of Medicine, Standford, CA 94305, USA.
Carlo CatalanoDepartment of Radiological Sciences, Oncology and Pathology, Sapienza University, 00161 Rome, Italy.
Fabio Massimo MaglioccaDepartment of Anatomopathological, Oncology and Pathology, Sapienza University, 00161 Rome, Italy.
Ettore De BerardinisDepartment of Maternal Infant and Urological Sciences, Sapienza University Rome, Policlinico Umberto I Hospital, 00161 Rome, Italy.
Francesco Del GiudiceDepartment of Maternal Infant and Urological Sciences, Sapienza University Rome, Policlinico Umberto I Hospital, 00161 Rome, Italy.ORCID 0000-0003-3865-5988
Valeria PanebiancoDepartment of Radiological Sciences, Oncology and Pathology, Sapienza University, 00161 Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCurrent cross-sectional imaging modalities exhibit heterogenous diagnostic performances for the detection of a lymph node invasion (LNI) in bladder cancer (BCa) patients. Recently, the Node-RADS score was introduced to provide a standardized comprehensive evaluation of LNI, based on a five-item Likert scale accounting for both size and configuration criteria. In the current study, we hypothesized that the Node-RADS score accurately predicts the LNI and tested its diagnostic performance.

methodsWe retrospectively reviewed BCa patients treated with radical cystectomy (RC) and bilateral extended pelvic lymph node dissection, from January 2019 to June 2022. Patients receiving preoperative systemic chemotherapy were excluded. A logistic regression analysis tested the correlation between the Node-RADS score and LNI both at patient and lymph-node level. The ROC curves and the AUC depicted the overall diagnostic performance. In addition, the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated for different cut-off values (>1, >2, >3, >4).

resultsOverall, data from 49 patients were collected. Node-RADS assigned on CT scans images, was found to independently predict the LNI after an adjusted multivariable regression analysis, both at the patient (OR 3.36, 95%CI 1.68-9.40,

conclusionsThe current study lays the foundation for the introduction of Node-RADS for the regional lymph-node evaluation in BCa patients. Interestingly, the Node-RADS score exhibited a moderate-to-high overall accuracy for the identification of LNI, with the possibility of setting different cut-off values according to specific clinical scenarios. However, these results need to be validated on larger cohorts before drawing definitive conclusions.

Indexed as

bladder cancerbladder cancer staginglymph-node invasionNode-RADSradical cystectomy

Identifiers

PMID36765540
PMCPMC9913205

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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.