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Record W7071098263

RADIUM-223 TREATMENT IN PATIENTS WITH PROSTATE CANCER IN ONTARIO

2025· dissertation· en· W7071098263 on OpenAlexaboutno aff

Bibliographic record

VenueMacSphere (McMaster University) · 2025
Typedissertation
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsnot available
Fundersnot available
KeywordsProstate cancerStage (stratigraphy)Radiation therapyCancerDiseaseProstate-specific antigenProstateAdenocarcinomaProstatic acid phosphataseImmunotherapy
DOInot available

Abstract

fetched live from OpenAlex

Background: Radium-223 is an alpha-emitting radioactive calcium-mimetic nuclide preferentially distributed into high turnover bone affected by cancer cells after intravenous administration. It has been shown to reduce mortality in patients with boney metastases due to metastatic castration-resistant prostate cancer (mCRPC). However, which patients benefit most from radium-223 therapy remains an important unanswered question. Methods: Patients diagnosed with prostate adenocarcinoma and treated at least once with radium-223 in the province of Ontario between March 3, 2014 and March 31, 2023 were identified by the Institute for Clinical Evaluative Sciences (IC/ES) database. Physician billing codes were used to identify radium-223, chemotherapy, radiation therapy and surgical interventions. Drug identification numbers (DIN) were used to identify patients who had been exposed to androgen receptor axis-targeted agents (ARAT) and bone modifying agents (denosumab or zoledronate). Laboratory data was extracted from the Ontario Laboratories Information System (OLIS) and included blood prostate-specific antigen (PSA), albumin, alkaline phosphatase (ALP), hemoglobin levels; and blood leukocyte, lymphocyte and neutrophil counts. Results: A total of 1588 patients with prostate cancer received radium-223 treatment. Median age at treatment was 68 with approximately 20% (322) of patients diagnosed between 2002-2008, 50% (754) between 2009-2015 and 30% (512) between 2016-2022. Patients with metastatic disease at diagnosis comprised the majority of patients who received treatment (45.8% [728]), followed by 12.6% (200) with stage III and 23.8% (377) diagnosed at an early stage (I+II). Prior use of ARATs was seen in 27.6% (438) and 25.3% (401) of patients had prior use of a bone modifying agent. Median overall survival from diagnosis was 85.6 months while median overall survival from starting radium-223 was 12.3 months. In a multivariable model, higher pre-treatment hemoglobin (HR 0.82, 95% CI 0.78-0.85) and calcium (HR 0.21, 95% CI 0.14-0.32) levels were associated with longer survival and higher pre-treatment neutrophil count (HR 1.08, 95% CI 1.05-1.11), ALP (HR 1.08, 95% CI 1.06-1.11) and PSA levels (HR 1.02, 95% CI 1.01, 1.03) with shorter survival. Excluding laboratory values, older age (HR 1.02, 95% CI 1.02-1.03), prior use of ARATs (HR 1.24, 95% CI 1.06-1.45) and chemotherapy (HR 2.11, 95% CI 1.78, 2.51) were associated with worse survival while early stage at diagnosis (stage I [HR 0.41, 95% CI 0.23-0.74] and stage II [HR 0.73, 95%CI 0.61-0.88) were associated with longer survival. Analysis of demographic factors showed that rurality was associated with lower chance of receiving radium-223 but was not associated with worsening survival. Conclusion: Survival after radium-223 treatment in patients with mCRPC was influenced by disease biology, burden, and patient age. Patients residing in rural areas were less likely to receive radium-223 treatment suggesting barriers to access.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.111
Threshold uncertainty score0.224

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
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 head0.012
GPT teacher head0.237
Teacher spread0.225 · 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 designObservational
Domainnot available
GenreEmpirical

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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