Evidence map›Paper›PMID 21358754›Full record

ArticleProstate cancer and prostatic diseases2011

Predicting prostate cancer at rebiopsies in patients with high-grade prostatic intraepithelial neoplasia: a study on 546 patients.

A Antonelli, R Tardanico, L Giovanessi, N Pesenti, L Gatti, T Zambolin, D Zani, S C Cunico, C Simeone

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In one paragraph

Article in Prostate cancer and prostatic diseases, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.5field-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

4 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. High-grade prostatic intraepithelial neoplasia.Korean journal of urology · 2012
    Article
  4. 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

9 authors at 2 institutions in 1 country.

A AntonelliDepartment of Urology, University of Brescia, Spedali Civili Hospital, Brescia, Italy. alxanto@hotmail.com
R Tardanico
L Giovanessi
N Pesenti
L Gatti
T Zambolin
D Zani
S C Cunico
C Simeone
University of Brescia · ITAzienda Socio Sanitaria Territoriale degli Spedali Civili di Brescia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to analyse the factors that predict the diagnosis of prostate cancer (PCa) after high-grade prostatic intraepithelial neoplasia (HGPIN). Data from 546 patients with HGPIN submitted up to a 6-month series of three rebiopsies, according to an institutional protocol, were reviewed. PCa has been found in 174 cases (31.8%), in 116 cases at the first and in 58 cases at a further rebiopsy. The risk of finding PCa at the first rebiopsy was correlated with the PSA value and with an anomalous digital rectal examination (DRE) at the time of the initial biopsy; the risk at a subsequent rebiopsy was correlated to the number of cores with HGPIN, with a cutoff of four, and to the ratio with the total number of cores ('PIN density'), with a cutoff of 50%, at the time of initial biopsy. A tailored protocol of controls can be suggested: (a) higher PSA value and/or anomalous DRE: early extended or saturation rebiopsy; (b) number of cores with HGPIN ≥4 and/or PIN density ≥50%: delayed rebiopsy; and (c) no risk factors: PSA and DRE controls.

Indexed as

Digital Rectal ExaminationAgedAged, 80 and overBiomarkers, TumorBiopsyClinical ProtocolsEarly Detection of CancerFollow-Up StudiesHumansMaleMiddle AgedPredictive Value of TestsProstateProstate-Specific AntigenProstatic Intraepithelial NeoplasiaProstatic NeoplasmsBiomarkers, TumorProstate-Specific Antigen

Identifiers

PMID21358754
OpenAlexW2084485517

What OpenQuestion holds

Textmetadata
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.