ArticleAnnals of nuclear medicine2026
Radium-223 therapy in metastatic castration-resistant prostate cancer: baseline predictors of treatment completion and survival in a reimbursement-regulated Taiwanese cohort.
Article in Annals of nuclear medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveReal-world outcomes of Ra-223 in Asian populations vary and are influenced by reimbursement policies that restrict use to symptomatic patients. We aimed to identify baseline predictors of treatment completion and overall survival (OS) in metastatic castration-resistant prostate cancer (mCRPC) within a reimbursement-regulated Taiwanese cohort and to derive an exploratory composite prognostic classification.
methodsWe retrospectively studied 170 men with symptomatic, bone-predominant mCRPC who received Ra-223 under Taiwan National Health Insurance criteria (April 2019-December 2024; follow-up through April 2026). Baseline variables were evaluated as predictors of treatment completion (all six cycles) by logistic regression and of OS by Kaplan-Meier and Cox proportional-hazards models. To avoid immortal time bias, treatment completion was excluded from the OS model. A 0-5 classification was constructed from the independent baseline risk factors and internally validated by bootstrap resampling.
resultsThe completion rate was 61% (104/170) and median OS was 15.2 months. Baseline alkaline phosphatase (ALP ≤ 102 U/L; OR 0.20) and hemoglobin (Hb ≥ 10 g/dL; OR 0.35) and absence of prior radiotherapy (OR 0.46) were independently associated with treatment completion (modeled as odds of early discontinuation). Five baseline factors were independently associated with OS: no prior chemotherapy (HR 0.63), no prior androgen-receptor-pathway-inhibitor (ARPI) therapy (HR 0.47), prostate-specific antigen (PSA) ≤ 19.4 ng/mL (HR 0.49), ALP ≤ 102 U/L (HR 0.36), and Hb ≥ 10 g/dL (HR 0.45); the ARPI association is exploratory (18 ARPI-naive patients). The 0-5 composite classification stratified three risk groups (log-rank p < 0.001): restricted mean survival 58.8 months for low-risk versus median OS of 15.6 and 6.7 months for intermediate- and high-risk groups; the optimism-corrected C-index was 0.69.
conclusionsIn a symptomatic, reimbursement-regulated mCRPC cohort, baseline ALP and Hb are associated with Ra-223 completion, whereas survival is associated with tumor activity (ALP, PSA), marrow reserve (Hb), and prior systemic therapy. The classification provides prognostic stratification within a Ra-223-treated population but does not establish treatment-specific benefit and requires external validation.
Indexed as
Identifiers
42742906What OpenQuestion holds
Registered trials
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.