Evidence map›Paper›PMID 38322282›Full record

ArticleFrontiers in oncology2023

Improving the identification of high-risk non-metastatic castration-resistant prostate cancer patients in clinical practice.

Alina Rosinha, Carlos Rabaça, Fernando Calais, João Moreira Pinto, João Vasco Barreira, Ricardo Fernandes, Rodrigo Ramos, Ana Cristina Fialho, José Palma Dos Reis

Abstract read
In one paragraph

Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Alina RosinhaOncology Department, Portuguese Institute of Oncology (IPO) Porto, Porto, Portugal.
Carlos RabaçaUrology Department, Portuguese Institute of Oncology (IPO) Coimbra, Coimbra, Portugal.
Fernando CalaisUrology Department, Centro Hospitalar Lisboa Central, Lisbon, Portugal.
João Moreira PintoOncology Department, Hospital Beatriz Ângelo, Lisbon, Portugal.
João Vasco BarreiraOncology Department, CUF Oncologia, Lisbon, Portugal.
Ricardo FernandesOncology Department, Hospital de Braga, Braga, Portugal.
Rodrigo RamosUrology Department, Portuguese Institute of Oncology (IPO) Lisboa, Lisbon, Portugal.
Ana Cristina FialhoMedical Affairs Department, Janssen-Cilag, Lda., Porto Salvo, Portugal.
José Palma Dos ReisUrology Department, Hospital de Santa Maria, Centro Hospitalar Universitário Lisboa Norte, Lisbon, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-metastatic castration-resistant prostate cancer (nmCRPC) represents a challenging disease state in prostate cancer care. nmCRPC patients with a high risk of progression to metastatic disease who are identified by a prostate-specific antigen doubling time (PSADT) ≤10 months are eligible for treatment with the novel androgen receptor inhibitors (ARIs), shown to delay disease progression and extend survival. However, nmCRPC is often unexploited in clinical practice due to a lack of standardization in the methodology and in the tools used for its identification. In this article, a group of Urology and Oncology specialists with acknowledged expertise in prostate cancer reviews the state of the art in the management of high-risk nmCRPC patients, identifies gaps and unmet needs, and proposes strategies to optimize the identification of this patient subgroup in the clinical practice and improve their health outcomes.

Indexed as

high-riskidentificationnon-metastatic castration-resistant prostate cancerprostate-specific antigenprostate-specific antigen doubling timestandardization

Identifiers

PMID38322282
PMCPMC10844520

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.