Evidence map›Paper›PMID 32395318›Full record

ArticleCentral European journal of urology2020

External validation of Memorial Sloan Kettering Cancer Center nomogram and prediction of optimal candidate for lymph node dissection in clinically localized prostate cancer.

Daimantas Milonas, Zilvinas Venclovas, Tim Muilwijk, Mindaugas Jievaltas, Steven Joniau

Open access · greenAbstract read
In one paragraph

Article in Central European journal of urology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.4field-weighted citation impact, top 16% 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

17 citing papers in PubMed, 17 citations in OpenAlex.

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  9. Clinical application of machine learning models in patients with prostate cancer before prostatectomy.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024
    Observational
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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

5 authors at 2 institutions in 2 countries.

Daimantas MilonasDepartment of Urology, Lithuanian University of Health Sciences, Medical Academy, Kaunas, Lithuania.
Zilvinas VenclovasDepartment of Urology, Lithuanian University of Health Sciences, Medical Academy, Kaunas, Lithuania.
Tim MuilwijkDepartment of Urology, Leuven University Hospital, Leuven, Belgium.
Mindaugas JievaltasDepartment of Urology, Lithuanian University of Health Sciences, Medical Academy, Kaunas, Lithuania.
Steven JoniauDepartment of Urology, Leuven University Hospital, Leuven, Belgium.
KU Leuven · BELithuanian University of Health Sciences · LT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe aim of our study was to evaluate the external validity of the online Memorial Sloan Kettering Cancer Center (MSKCC) nomogram as a predictor for pelvic lymph node invasion (LNI) in men who underwent radical prostatectomy (RP) with pelvic lymph node dissection (PLND). MATERIAL AND

methodsThe study cohort consisted of 679 men with clinically localized prostate cancer (PCa) who underwent RP with PLND between 2005 and 2017. The area under curve (AUC) of the receiver operator characteristic analysis was used to quantify the accuracy of MSKCC nomogram to predict LNI. The specificity, sensitivity and negative predictive value were calculated to assess LNI probability cut-off.

resultsA total of 81 of 679 patients had LNI (11.9%). The AUC of MSKCC nomogram was 79%. Using the cut-off value of 7% (sensitivity 88.9%, specificity 45.2% and NPV 96.8%) a PLND could be omitted in 41% (279/679) of men. However, 3.2% (9/279) of men with LNI would be missed. MSKCC nomogram showed good calibration characteristics and high net benefit at decision curve analysis.

conclusionsMSKCC nomogram in patients with PCa undergoing PLND has 79% discriminated accuracy for prediction of LNI in our cohort. Using a 7% nomogram cut-off, roughly 40% of men would be spared PLND with minimal risk to miss LNI.

Indexed as

external validationlymph node invasionpreoperative MSKCC nomogramprostate cancer

Identifiers

PMID32395318
PMCPMC7203765
OpenAlexW3027855045

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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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.