Evidence map›Paper›PMID 34430421›Full record

ReviewTranslational andrology and urology2021

Rapidly evolving treatment paradigm and considerations for sequencing therapies in metastatic prostate cancer-a narrative review.

Smitha Sagaram, Arpit Rao

Abstract 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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Efficacy and safety of darolutamideFrontiers in pharmacology · 2025
    Article
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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.

Smitha SagaramUniversity of Minnesota, Masonic Cancer Center, Minneapolis, MN, USA.
Arpit RaoUniversity of Minnesota, Masonic Cancer Center, Minneapolis, MN, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The treatment landscape of metastatic prostate cancer (mPCa) has evolved considerably over the past 15 years with approvals of targeted therapies such as poly-ADP-ribose polymerase inhibitors (PARPi) in castration-resistant [metastatic castration-resistant prostate cancer (mCRPC)] setting and novel antiandrogens and docetaxel in hormone-sensitive [metastatic hormone-sensitive prostate cancer (mHSPC)] setting. A number of promising clinical trials are now evaluating therapeutic combinations rooted in an improving understanding of tumor biology. Despite a plethora of effective treatment options, decisions regarding choice of therapy remain challenging due to the lack of head-to-head trials and a substantial overlap in selection criteria used in these trials. We summarize the data from key trials that led to approval of commonly used mPCa therapies and provides an easy-to-use clinical decision-making framework that incorporates patient-specific and disease-specific factors to aid selection of the optimal therapy. We outline the evolving use-cases for biomarker-guided treatment selection and our approach to incorporating these therapies in clinical practice. Finally, we highlight the rapidly growing pipeline of therapies that are in advanced stages of clinical development, such as combinations of novel antiandrogen and PARPi, vascular endothelial growth factor (VEGF) inhibitor and immunotherapy, as well as prostate specific membrane antigen (PSMA)-targeted therapies, many of which are poised to transform the landscape in the coming decade.

Indexed as

lutetium prostate-specific membrane antigen (lutetium PSMA)Metastatic castration-resistant prostate cancer (mCRPC)microsatellite instability-high (MSI-high)poly-ADP-ribose polymerase inhibitor (PARPi)targeted therapy

Identifiers

PMID34430421
PMCPMC8350255

What OpenQuestion holds

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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.