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Record W4412954152 · doi:10.7759/cureus.89396

Comparative Effectiveness of Management Strategies for Stage IV Prostate Cancer: A Narrative Review

2025· review· en· W4412954152 on OpenAlexaff
Okelue E Okobi, Tobechukwu Okobi, Francis Okobi, Rita Kimble, Cherish D Adesola, Ebere M Nwachukwu, Michael O Oluwalana, Kingsley O Ozojide, Stanley Ezulike

Bibliographic record

VenueCureus · 2025
Typereview
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsMedicineProstate cancerStage (stratigraphy)GynecologyManagement of prostate cancerNarrativeGeneral surgeryCancerInternal medicineLiterature

Abstract

fetched live from OpenAlex

Stage IV prostate cancer (PCa) refers to a disease that has metastasized beyond the prostate gland to distant sites, such as bones, visceral organs, or non-regional lymph nodes. While early attempts at curative therapy were occasionally made in oligometastatic cases, current guidelines uniformly recommend palliative-intent management once true metastatic spread is confirmed. Over the past decade, treatment paradigms have shifted from androgen deprivation therapy (ADT) monotherapy to earlier intensification with combination regimens including chemo-hormonal therapy and next-generation hormonal agents to improve survival and quality of life (QoL). This narrative review evaluates the comparative effectiveness of ADT, chemotherapy, novel hormonal agents, and palliative radiotherapy in patients with stage IV prostate cancer. A structured literature search of PubMed, Embase, and the Cochrane Library was conducted for English-language studies published between January 2015 and May 2025. Search terms included "stage IV prostate cancer," "metastatic prostate cancer," "androgen deprivation therapy," "docetaxel," "enzalutamide," "abiraterone," "palliative radiotherapy," and "systemic therapy." Eligible studies involved adult male patients with stage IV prostate cancer receiving systemic therapies or radiotherapy; preclinical studies, case reports, and non-metastatic populations were excluded. ADT remains the foundational therapy for metastatic disease. In hormone-sensitive, high-risk patients, combination therapy with agents such as enzalutamide or abiraterone has been shown to significantly improve progression-free survival (PFS) and overall survival (OS). Chemotherapy, particularly docetaxel, provides survival benefits in patients with high-volume metastatic hormone-sensitive disease, as demonstrated in landmark trials. Cabazitaxel, typically used in the castration-resistant setting, offers favorable tolerability compared to docetaxel rechallenge. Among novel hormonal agents, enzalutamide is often preferred in older or comorbid patients due to superior cost-effectiveness and a more favorable metabolic and cardiovascular profile compared to abiraterone. Palliative radiotherapy contributes to symptom control and local disease management, especially when guided by biomarkers such as circulating tumor cells (CTCs). However, variability in study design, patient characteristics, and prior treatments complicates direct comparisons. Managing stage IV prostate cancer requires an individualized, palliative-focused strategy. This review highlights the value of early combination approaches based on disease volume, patient performance status, comorbidities, and personal preferences. ADT remains the therapeutic cornerstone, with systemic intensification and selective radiotherapy offering additive benefits in appropriately chosen patients.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.007
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.022
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0060.006
Bibliometrics0.0070.006
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0050.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.097
GPT teacher head0.486
Teacher spread0.388 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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