Evidence map›Paper›PMID 39150340›Full record

ReviewCancer control : journal of the Moffitt Cancer Center

How We Treat Metastatic Castration-Sensitive Prostate Cancer.

Filip Ionescu, Jingsong Zhang

Abstract readReview
In one paragraph

Review in Cancer control : journal of the Moffitt Cancer Center. 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
–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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

2 authors.

Filip IonescuDepartment of Genitourinary Oncology, Moffitt Cancer Center and Research Institute, Tampa, FL, USA.ORCID 0000-0003-3097-8985
Jingsong ZhangDepartment of Genitourinary Oncology, Moffitt Cancer Center and Research Institute, Tampa, FL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The treatment of metastatic castration-sensitive prostate cancer (mCSPC) has seen remarkable breakthroughs over the last few years. Diagnostic and therapeutic advances have given rise to debates about risk stratification and optimal first-line treatment selection, as well as to concerns about potential overtreatment in a disease state with a highly heterogeneous clinical behavior. Here, we use case reports from our practice to review the clinical trials exploring intensified triplet regimens combining androgen deprivation therapy with second-generation androgen receptor signaling inhibitors and docetaxel, and we offer our recommendations on how to best select candidates for these novel combinations. Furthermore, the growing adoption of PET imaging with increasingly sensitive and prostate tissue-specific tracers replacing conventional staging technologies has led to the identification of a subset of low-volume mCSPC with nodal metastases which would otherwise not be considered abnormal by RECIST criteria. We describe our PSA-adapted approach to treatment in this unique population with non-measurable low-volume mCSPC which has not been specifically investigated in any phase III clinical trials. We also discuss ongoing clinical trials evaluating treatment de-escalation strategies. Finally, we review how local treatment modalities directed at the prostate or distant sites of disease in oligometastatic CSPC may benefit patients, and how we incorporate metastasis-directed therapy in the management of mCSPC.

Indexed as

Neoplasm MetastasisAndrogen AntagonistsDocetaxelHumansMaleProstatic NeoplasmsProstatic Neoplasms, Castration-ResistantAndrogen AntagonistsDocetaxelcastration-sensitivehormonal therapymetastaticprostate cancertriplet therapy

Identifiers

PMID39150340
PMCPMC11329962

What OpenQuestion holds

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Registered trials

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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.