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Treatment patterns and survival in men with metastatic castration-resistant prostate cancer (mCRPC): A systematic literature review of 35 real-world observational studies.

2025· article· en· W4407700392 on OpenAlexaboutno aff
Amit D. Raval, Viji Queen, Matthew J. Korn, Vanessa Quintero, Stephen J. Freedland

Bibliographic record

VenueJournal of Clinical Oncology · 2025
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineProstate cancerObservational studyOncologyInternal medicineOverall survivalSystematic reviewCancerCabazitaxelGynecologyAndrogen deprivation therapyMEDLINE

Abstract

fetched live from OpenAlex

101 Background: Treatment landscapes have changed dramatically in prostate cancer in the past decade. Therapies like androgen receptor pathways inhibitors (ARPIs), which were initially approved for mCRPC are now approved in the earlier disease spectrum, including biochemical recurrence (BCR), non-metastatic castration-resistant prostate cancer (nmCRPC), and hormone-sensitive metastatic prostate cancer (mHSPC). Further, several other life-prolonging therapies, including radiopharmaceuticals, immunotherapies, and poly-ADP ribose polymerase inhibitors (PARPi), have been approved for mCRPC in the last decade. Given these changes, this systematic literature review (SLR) aimed to summarize treatment patterns and survival in patients with mCRPC. Methods: Electronic databases (PubMed, Embase) and key conferences (2022-2024) were searched systemically for real-world (RW) observational studies published between Jan 2015 and March 2024 that examined treatment patterns and survival in patients with mCRPC. A GenAI-powered literature review platform assisted in study selection alongside human validation, and independent reviewers extracted and assessed the data for narrative synthesis of key findings. Results: From 4,565 retrieved citations, 35 studies with a total of 86,131 patients with mCRPC met inclusion criteria. In most studies, patient median age ranged from 65 to 75. Studies predominantly utilized electronic medical records (EMR)/chart review (n=24), followed by a registry/-linked claims (n=10). Most studies were from North America (n=21; 18 United States; 3 Canada), followed by Europe (n=6), Asia (n=3), Oceania (n=3), and others (n=2). Bone and visceral metastases were present in ≥ 70% of mCRPC and ≤30% in most studies, respectively. ARPI was the most frequently utilized first line of therapy(1L) for mCRPC in all studies (≥50% in most studies), followed by chemotherapy, albeit with varying magnitude by geographic regions. Chemotherapy for 1L mCRPC was more common in Europe and Oceania than in the US. The use of radiopharmaceuticals, PARPIs, and immunotherapy was low in most studies (<10%) as 1L mCRPC. Most studies found ARPI to ARPI was the most common 1L to 2L mCRPC sequence, though in few studies, ARPI-chemotherapy was the common 1L to 2L mCRPC sequence. In most studies, median real-world overall survival ranged from 18 to 27 months and varied by genetic mutation status. Conclusions: Findings highlight that ARPI remained the most utilized 1L/2L in men with mCRPC, and back-to-back ARPI was also a common practice even after the availability of the other life-prolonging therapies. This SLR highlights the need to optimize treatment beyond systemic hormone therapy.

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)0.013
metaresearch head score (Gemma)0.050
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.020
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.050
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0060.009
Bibliometrics0.0200.022
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0020.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.242
GPT teacher head0.541
Teacher spread0.299 · 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 designSystematic review
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

Citations1
Published2025
Admission routes1
Has abstractyes

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