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Record W2141092025 · doi:10.1586/era.10.32

Radiotherapy for metastatic bone disease: current standards and future prospectus

2010· review· en· W2141092025 on OpenAlexaff
Stephen Lutz, Simon S. Lo, Edward Chow, Arjun Sahgal, Peter Hoskin

Bibliographic record

VenueExpert Review of Anticancer Therapy · 2010
Typereview
Languageen
FieldMedicine
TopicManagement of metastatic bone disease
Canadian institutionsSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineRadiation therapySpinal cord compressionRadiosurgeryPalliative careCancerDiseaseIntensive care medicineSurgerySpinal cordInternal medicine

Abstract

fetched live from OpenAlex

Changes in population dynamics will require increased end-of-life cancer care in the coming years. Palliative radiotherapy successfully relieves symptoms of advanced cancer, with the most common indication for its use being uncomplicated painful bone metastases. Single-fraction radiotherapy provides successful, time-efficient and cost-effective management of bone metastases. Newer technologies, such as stereotactic body radiotherapy, hold promise for some patients with spine metastases, although their niche has not been properly defined and their use outside of a protocol setting is inappropriate. Surgery should be considered for circumstances of completed or impending pathologic fracture, spinal instability, or spinal cord compression in patients who have adequate performance status and prognosis. Multiple sites of painful metastases may be treated with injectible radiopharmaceuticals or hemibody radiation. The future developments in palliative radiotherapy for bone metastases will mirror several forces affecting all of medicine, including resource allocation, the adoption of clinical guidelines and the integration of newer technologies.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.870
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.042
GPT teacher head0.443
Teacher spread0.401 · 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 teacher head, not a consensus.

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

Citations13
Published2010
Admission routes1
Has abstractyes

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