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Record W2972065144 · doi:10.21037/apm.2019.08.07

Role of bone-modifying agents in advanced cancer

2019· article· en· W2972065144 on OpenAlexaff
Danielle Desautels, Craig Harlos, Katarzyna J. Jerzak

Bibliographic record

VenueAnnals of Palliative Medicine · 2019
Typearticle
Languageen
FieldMedicine
TopicBone health and treatments
Canadian institutionsSunnybrook Health Science CentreUniversity of ManitobaUniversity of TorontoCancerCare Manitoba
Fundersnot available
KeywordsMedicineDenosumabSpinal cord compressionMultiple myelomaOsteoclastBone painOsteonecrosis of the jawCancerOncologyBone Density Conservation AgentsBisphosphonateOsteoblastOsteoporosisInternal medicineBone densitySpinal cord

Abstract

fetched live from OpenAlex

Bone lesions from metastatic solid tumors and multiple myeloma (MM) represent an important source of morbidity in patients with incurable malignancies. Dysregulation of osteoclast and osteoblast activity caused by tumor cells in the bone microenvironment weakens the structural integrity of bone and predisposes to skeletal-related events (SREs), which can include severe bone pain, pathologic fracture, spinal cord compression and hypercalcemia. In order to reduce the risk of these complications, the supportive treatment of patients with bone lesions from advanced cancer typically includes the use of bone-modifying agents (BMAs), specifically bisphosphonates and denosumab. The choice of specific agent, dosing schedule and duration of therapy should be individualized by taking into account disease characteristics, medication side-effect profiles and patient preferences.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.467

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.130
GPT teacher head0.458
Teacher spread0.328 · 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.

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

Citations13
Published2019
Admission routes1
Has abstractyes

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