Evidence map›Paper›PMID 39323979›Full record

ReviewClinical Medicine Insights. Oncology2024

The Rapidly Evolving Treatment Landscape of Metastatic Hormone-Sensitive Prostate Cancer.

Eun-Mi Yu, Ishan Patel, Min Woo Hwang, Faran Polani, Jeanny B Aragon-Ching

Abstract readReview
In one paragraph

Review in Clinical Medicine Insights. Oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Is [Cancers · 2025
    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

5 authors.

Eun-Mi YuGU Medical Oncology, Inova Schar Cancer Institute, Fairfax, VA, USA.
Ishan PatelDivision of Hematology and Oncology, Department of Medicine, Inova Schar Cancer Institute, Fairfax, VA, USA.
Min Woo HwangDepartment of Internal Medicine, Inova Fairfax Hospital, Fairfax, VA, USA.
Faran PolaniDivision of Hematology and Oncology, Department of Medicine, Inova Schar Cancer Institute, Fairfax, VA, USA.
Jeanny B Aragon-ChingGU Medical Oncology, Inova Schar Cancer Institute, Fairfax, VA, USA.ORCID https://orcid.org/0000-0002-6714-141X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The management of metastatic hormone-sensitive prostate cancer (mHSPC) or castration-sensitive prostate cancer (mCSPC) has become increasingly complex with the tremendous progress that has been made in this space within the past few decades. In the early days of androgen deprivation therapy (ADT), ADT monotherapy was the mainstay for treatment of advanced prostate cancer. However, novel hormone therapies in the form of androgen receptor pathway inhibitors (ARPI) have emerged; vaccine therapy, chemotherapy with docetaxel and cabazitaxel, and radioactive ligands have shaped the treatment of metastatic prostate cancer in the last decade. Following the initial approval of several drugs for use in metastatic castration-resistant prostate cancer (mCRPC) in combination with primary ADT, these agents were studied and subsequently approved for use in mCSPC. Therefore, ADT monotherapy no longer constitutes an optimal therapeutic option for otherwise fit patients who present with mCSPC. We focus on the treatment of first-line de novo mHSPC or mCSPC and explore frontline doublet and triplet therapy and the pivotal trials that led to their United States Food and Drug Administration approval.

Indexed as

androgen deprivation therapyandrogen receptor pathway inhibitorschemotherapymetastatic hormone-sensitive prostate cancerProstate cancer

Identifiers

PMID39323979
PMCPMC11423369

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.