Evidence map›Paper›PMID 34094990›Full record

ArticleFrontiers in oncology2021

PSA Density Help to Identify Patients With Elevated PSA Due to Prostate Cancer Rather Than Intraprostatic Inflammation: A Prospective Single Center Study.

Salvatore M Bruno, Ugo G Falagario, Nicola d'Altilia, Marco Recchia, Vito Mancini, Oscar Selvaggio, Francesca Sanguedolce, Francesco Del Giudice, Martina Maggi, Matteo Ferro and 7 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
6.9field-weighted citation impact, top 2% 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

35 citing papers in PubMed, 58 citations in OpenAlex.

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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 at 4 institutions in 1 country.

Salvatore M BrunoDepartment of Urology and Renal Transplantation, University of Foggia, Foggia, Italy.
Ugo G FalagarioDepartment of Urology and Renal Transplantation, University of Foggia, Foggia, Italy.
Nicola d'AltiliaDepartment of Urology and Renal Transplantation, University of Foggia, Foggia, Italy.
Marco RecchiaDepartment of Urology and Renal Transplantation, University of Foggia, Foggia, Italy.
Vito ManciniDepartment of Urology and Renal Transplantation, University of Foggia, Foggia, Italy.
Oscar SelvaggioDepartment of Urology and Renal Transplantation, University of Foggia, Foggia, Italy.
Francesca SanguedolceDepartment of Pathology, University of Foggia, Foggia, Italy.
Francesco Del GiudiceDepartment of Urology, Sapienza Rome University, Rome, Italy.
Martina MaggiDepartment of Urology, Sapienza Rome University, Rome, Italy.
Matteo FerroDepartment of Urology, European Institute of Oncology (IEO) IRCCS, Milan, Italy.
Angelo PorrecaDepartment of Urology, Veneto Institute of Oncology (IOV) IRCCS, Padua, Italy.
Alessandro SciarraDepartment of Urology, Sapienza Rome University, Rome, Italy.
Ettore De BerardinisDepartment of Urology, Sapienza Rome University, Rome, Italy.
Carlo BettocchiDepartment of Urology and Renal Transplantation, University of Foggia, Foggia, Italy.
Gian Maria BusettoDepartment of Urology and Renal Transplantation, University of Foggia, Foggia, Italy.
Luigi CormioDepartment of Urology and Renal Transplantation, University of Foggia, Foggia, Italy.
Giuseppe CarrieriDepartment of Urology and Renal Transplantation, University of Foggia, Foggia, Italy.
University of Foggia · ITSapienza University of Rome · ITIstituti di Ricovero e Cura a Carattere Scientifico · ITIstituto Oncologico Veneto · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The association between PSA density, prostate cancer (PCa) and BPH is well established. The aim of the present study was to establish whether PSA density can be used as a reliable parameter to predict csPCa and to determine its optimal cutoff to exclude increased PSA levels due to intraprostatic inflammation. This is a large prospective single-center, observational study evaluating the role of PSA density in the discrimination between intraprostatic inflammation and clinically significant PCa (csPCa). Patients with PSA ≥ 4 ng/ml and/or positive digito-rectal examination (DRE) and scheduled for prostate biopsy were enrolled. Prostatic inflammation (PI) was assessed and graded using the Irani Scores. Multivariable binary logistic regression analysis was used to assess if PSA density was associated with clinically significant PCa (csPCa) rather than prostatic inflammation. A total of 1988 patients met the inclusion criteria. Any PCa and csPCa rates were 47% and 24% respectively. In the group without csPCa, patients with prostatic inflammation had a higher PSA (6.0 vs 5.0 ng/ml; p=0.0003), higher prostate volume (58 vs 52 cc; p<0.0001), were more likely to have a previous negative biopsy (29% vs 21%; p=0.0005) and a negative DRE (70% vs 65%; p=0.023) but no difference in PSA density (0.1 vs 0.11; p=0.2). Conversely in the group with csPCa, patients with prostatic inflammation had a higher prostate volume (43 vs 40 cc; p=0.007) but no difference in the other clinical parameters. At multivariable analysis adjusting for age, biopsy history, DRE and prostate volume, PSA density emerged as a strong predictor of csPCA but was not associated with prostatic inflammation. The optimal cutoffs of PSA density to diagnose csPCa and rule out the presence of prostatic inflammation in patients with an elevated PSA (>4 ng/ml) were 0.10 ng/ml

Indexed as

Irani scoreprostate cancerprostate inflammationPSAPSA density

Identifiers

PMID34094990
PMCPMC8173030
OpenAlexW3162606153

What OpenQuestion holds

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Registered trials

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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.