Evidence map›Paper›PMID 33850790›Full record

ReviewTranslational andrology and urology2021

Narrative review: predicting future molecular and clinical profiles of prostate cancer in the United States.

Matteo Santoni, Alessia Cimadamore, Francesco Massari, Giulia Sorgentoni, Liang Cheng, Antonio Lopez-Beltran, Nicola Battelli, Rodolfo Montironi

Open access · diamondAbstract readReview
In one paragraph

Review in Translational andrology and urology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. ODC1 Polyamine Metabolism Drives Prostate Cancer via AKT and Splicing.Journal of cellular and molecular medicine · 2026
    Article
  2. Article
  3. 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

8 authors at 5 institutions in 3 countries.

Matteo SantoniOncology Unit, Macerata Hospital, Macerata, Italy.
Alessia CimadamoreSection of Pathological Anatomy, Polytechnic University of the Marche Region, School of Medicine, United Hospitals, Ancona, Italy.
Francesco MassariMedical Oncology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Giulia SorgentoniOncology Unit, Macerata Hospital, Macerata, Italy.
Liang ChengDepartment of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, IN, USA.
Antonio Lopez-BeltranDepartment of Surgery, Cordoba University Medical School, Cordoba, Spain.
Nicola BattelliOncology Unit, Macerata Hospital, Macerata, Italy.
Rodolfo MontironiSection of Pathological Anatomy, Polytechnic University of the Marche Region, School of Medicine, United Hospitals, Ancona, Italy.
Ospedale di MacerataMarche Polytechnic University · ITAzienda USL di Bologna · ITIndiana University School of MedicineUniversity of Córdoba · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate cancer represents the most frequent tumor in men, accounting for the 21% of all diagnosed tumors, with 191,930 new cases and 33,330 deaths estimated in 2020. Advanced prostate cancer represents a heterogeneous disease, ranging from hormone naive or hormone sensitive to castration resistant. The therapeutic armamentarium for this disease has been implemented in the last years by novel hormonal therapies and chemotherapies. However, the percentage of patients who achieve complete responses still results negligible. On this scenario, the design of clinical trials investigating new therapeutic approaches represent a dramatic medical need. Predicting cancer incidence may be fundamental to design specific clinical trials, to optimize the allocation of economic resources, and to plan future cancer control programs.

Indexed as

BRCA2castration resistanceDNA damage repair (DDR)future tumor burdengenetic alterationsprostate cancer

Identifiers

PMID33850790
PMCPMC8039584
OpenAlexW3150395480

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.