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Record W4404695885 · doi:10.1097/ppo.0000000000000755

Shifting the Landscape of Spine and Non-Spine Bone Metastases

2024· review· en· W4404695885 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Cancer Journal · 2024
Typereview
Languageen
FieldMedicine
TopicManagement of metastatic bone disease
Canadian institutionsHealth Sciences CentreUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsSPINE (molecular biology)MedicineBiologyBioinformatics

Abstract

fetched live from OpenAlex

ABSTRACT: Both spine and nonspine bone metastases are frequent sites of spread from solid organ malignancies. As bone metastases frequently cause significant morbidity for patients, it is critical to offer a treatment that can achieve rapid and durable symptomatic relief and local control, without being associated with serious risks of toxicity. Conventional palliative radiation therapy has a key treatment component in the multidisciplinary management of these patients; however, over the past decade, it has evolved to routinely deliver high biologically effective doses with precision in the form of stereotactic body radiation therapy. This change in paradigm is a result of the shifting landscape in cancer care, such that short-term pain relief is no longer the sole therapeutic aim for selected patients, and durable symptom relief and local tumor control are the goals. This review discusses the randomized prospective evidence, ongoing trials, approach to surveillance imaging, and treatment delivery for stereotactic body radiation therapy, to both spine and nonspine bone metastases, with a specific section on sacral metastases.

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.939
Threshold uncertainty score0.606

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.053
GPT teacher head0.379
Teacher spread0.326 · 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