Evidence map›Paper›PMID 35326693›Full record

ArticleCancers2022

Looking for a Simplified Diagnostic Model to Identify Potentially Lethal Cases of Prostate Cancer at Initial Diagnosis: An ImGO Pilot Study.

Serena Macrini, Simona Francesconi, Cecilia Caprera, Daniela Lancia, Matteo Corsi, Marco Gunnellini, Andrea Rocchi, Anjuta Pireddu, Fiovo Marziani, Claudia Mosillo and 6 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. 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
0.8field-weighted citation impact, top 29% 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, 5 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. The Expression of Proto-OncogeneInternational journal of molecular sciences · 2022
    Review
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

16 authors at 6 institutions in 1 country.

Serena MacriniMedical and Translational Oncology Unit, Department of Oncology, Azienda Ospedaliera Santa Maria, 05100 Terni, Italy.
Simona FrancesconiPathology Unit, Azienda Ospedaliera Santa Maria Terni, University of Perugia, 06129 Terni, Italy.
Cecilia CapreraPathology Unit, Azienda Ospedaliera Santa Maria Terni, University of Perugia, 06129 Terni, Italy.
Daniela LanciaPathology Unit, Azienda Ospedaliera Santa Maria Terni, University of Perugia, 06129 Terni, Italy.
Matteo CorsiPathology Unit, Azienda Ospedaliera Santa Maria Terni, University of Perugia, 06129 Terni, Italy.
Marco GunnelliniMedical Oncology Unit, Department of Oncology, Gubbio-Gualdo Tadino Hospital, 06024 Branca, Italy.ORCID 0000-0002-5583-4892
Andrea RocchiMedical Oncology Unit, Department of Medicine, San Giovanni Battista Hospital, 06034 Foligno, Italy.
Anjuta PiredduDivision of Pathology, Città di Castello Hospital, 06012 Città di Castello, Italy.
Fiovo MarzianiPathology Unit, Department of Clinical Pathology, San Giovanni Battista Hospital, 06034 Foligno, Italy.
Claudia MosilloMedical and Translational Oncology Unit, Department of Oncology, Azienda Ospedaliera Santa Maria, 05100 Terni, Italy.
Maria Letizia CalandrellaMedical and Translational Oncology Unit, Department of Oncology, Azienda Ospedaliera Santa Maria, 05100 Terni, Italy.
Claudia CasertaMedical and Translational Oncology Unit, Department of Oncology, Azienda Ospedaliera Santa Maria, 05100 Terni, Italy.
Diana GiannarelliBiostatistical Unit, Regina Elena National Cancer Institute, IRCCS, 00168 Rome, Italy.ORCID 0000-0002-6085-1195
Annalisa GuidaMedical and Translational Oncology Unit, Department of Oncology, Azienda Ospedaliera Santa Maria, 05100 Terni, Italy.
Stefano AscaniPathology Unit, Azienda Ospedaliera Santa Maria Terni, University of Perugia, 06129 Terni, Italy.
Sergio BracardaMedical and Translational Oncology Unit, Department of Oncology, Azienda Ospedaliera Santa Maria, 05100 Terni, Italy.
Azienda Ospedaliera S.Maria · ITUniversity of Perugia · ITAzienda Ospedaliero Universitaria San Giovanni Battista · ITCittà di Castello Hospital · ITCTO Hospital · ITIstituti di Ricovero e Cura a Carattere Scientifico · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recurrent genetic anomalies used to classify prostate cancer (PC) into distinct molecular subtypes have limited relevance for clinical practice. In consideration of WHO 2016 histological classification, which includes the introduction of Gleason Score 4 for patients with cribriform component and the definition of intraductal carcinoma as a new entity, a retrospective pilot study was conducted to investigate, by histological review, if there were any variations of Gleason Score and the incidence of intraductal carcinoma and cribriform pattern, intended as "phenotypic" markers of potentially lethal PC, among metastatic castration-sensitive PC (mCSPC) and metastatic castration-resistant PC (mCRPC) samples. Potentially predictive factors were also assessed. Among 125 cases, a variation in the Gleason Score was reported in 26% of cases. A cribriform (36%) or intraductal (2%) pattern was reported in a higher percentage. Of them, a primary Gleason pattern 4 was reported in 80% of cases. All patients with intraductal carcinoma present a

Indexed as

cribriform patternintraductal carcinomametastatic castration-resistant prostate cancermetastatic castration-sensitive prostate cancerphenotypic markersprostate cancer

Identifiers

PMID35326693
PMCPMC8946832
OpenAlexW4221091093

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.