Evidence map›Paper›PMID 38971935›Full record

ArticleProstate cancer and prostatic diseases2025

Development and validation of a clinical nomogram to predict prostatic inflammation in men with lower urinary tract symptoms.

Stavros Gravas, Cosimo De Nunzio, Luís Campos Pinheiro, Javier Ponce de León, Konstantinos Skriapas, Ziad Milad, Riccardo Lombardo, Mariana Medeiros, Pantelis Makrides, Michael Samarinas and 1 more

Abstract readValidation StudyMulticenter Study
In one paragraph

Article 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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Trial
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  5. The times have changed. Let the urologists change!Prostate cancer and prostatic diseases · 2025
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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

11 authors.

Stavros GravasMedical School, University of Cyprus, Nicosia, Cyprus. sgravas2002@yahoo.com.ORCID http://orcid.org/0000-0001-7805-6651
Cosimo De NunzioDepartment of Urology, University of Rome, Rome, Italy.ORCID http://orcid.org/0000-0002-2190-512X
Luís Campos PinheiroDepartment of Urology, Hospital de São José, Lisbon, Portugal.
Javier Ponce de LeónDepartment of Urology, de la Fundació Puigvert, Barcelona, Spain.
Konstantinos SkriapasDepartment of Urology, General Hospital of Larissa, Larissa, Greece.
Ziad MiladMedical School, University of Cyprus, Nicosia, Cyprus.
Riccardo LombardoDepartment of Urology, University of Rome, Rome, Italy.ORCID http://orcid.org/0000-0003-2890-3159
Mariana MedeirosDepartment of Urology, Hospital de São José, Lisbon, Portugal.
Pantelis MakridesMedical School, University of Cyprus, Nicosia, Cyprus.ORCID http://orcid.org/0000-0002-4983-0828
Michael SamarinasDepartment of Urology, General Hospital of Larissa, Larissa, Greece.
Mauro GacciUnit of Urological Robotic Surgery and Renal Transplantation, Careggi Hospital, University of Florence, Florence, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProstatic inflammation is an important etiological component of benign prostatic hyperplasia (BPH) and lower urinary tract symptoms (LUTS). The Prostatic Inflammation Nomogram Study (PINS) aimed to develop and validate a nomogram for predicting the presence of prostatic inflammation in men with LUTS.

methodsThis non-interventional, cross-sectional, prospective study was conducted in six secondary/tertiary centers across Cyprus, Greece, Italy, Portugal, and Spain. Men (≥40 years) with BPH/LUTS scheduled to undergo prostatic surgery or transrectal ultrasound-guided (TRUS) prostate biopsy were included. Fifteen demographic and clinical participant characteristics were selected as possible predictors of prostatic inflammation. The presence of inflammation (according to Irani score) in the prostatic tissue samples obtained from surgery/TRUS biopsy was determined. The effect of each characteristic on the likelihood a prostate specimen demonstrated inflammation (classified by Irani score into two categories, 0-2 [no/minimal inflammation] or 3-6 [moderate/severe inflammation]) was assessed using multiple logistic regression. A nomogram was developed and its discriminatory ability and validity were assessed.

resultsIn total, 423 patients (mean age 68.9 years) were recruited. Prostate volume ultrasound (PVUS) > 50 mL, history of urinary tract infection (UTI) treatment, presence of diabetes, and International Prostate Symptom Score (IPPS) Storage score were statistically significant predictors of Irani classification. Logistic regression demonstrated a statistically significant effect for leucocytes detected via urine dipstick, presence of diabetes, PVUS > 50 mL, history of UTIs, and higher IPSS Storage score for the odds of an inflammatory score category of 3-6 versus 0-2. The nomogram had a concordance index of 0.71, and good internal validity.

conclusionsThe nomogram developed from PINS had good predictive ability and identified various characteristics to be predictors of prostatic inflammation. Use of the nomogram may aid in individualizing treatment for LUTS, by identifying individuals who are candidates for therapies targeting prostatic inflammation.

Indexed as

Lower Urinary Tract SymptomsNomogramsProstatic HyperplasiaProstatitisAgedCross-Sectional StudiesHumansInflammationMaleMiddle AgedProspective StudiesProstate

Identifiers

PMID38971935
PMCPMC12106073

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