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Record W2021704241 · doi:10.3109/07357907.2010.483508

Disease Progression Increases the Risk of Skeletal-Related Events in Patients With Bone Metastases From Castration-Resistant Prostate Cancer, Lung Cancer, or Other Solid Tumors

2010· article· en· W2021704241 on OpenAlexaff
N. Simon Tchekmedyian, YinMiao Chen, Fred Saad

Bibliographic record

VenueCancer Investigation · 2010
Typearticle
Languageen
FieldMedicine
TopicBone health and treatments
Canadian institutionsHôpital Notre-DameUniversité de MontréalCentre Hospitalier de l’Université de Montréal
FundersNovartis Pharmaceuticals Corporation
KeywordsMedicineZoledronic acidProstate cancerOncologyCancerInternal medicineLung cancerDiseaseProstate

Abstract

fetched live from OpenAlex

Baseline and disease progression characteristics may predict the risk of skeletal-related events (SREs) in patients with bone metastases from various solid tumors. Exploratory analysis of phase III trials compared zoledronic acid with placebo in patients with bone metastases from castration-resistant prostate cancer (N = 643) and lung cancer or other solid tumors (N = 773), adjusted for baseline and time-dependent disease parameters. In all models, more than three bone lesions at baseline correlated with the increased SRE risk. Bone and overall disease progression correlated with increased SRE risk. Overall, cancer progression correlated with increased SRE risks and zoledronic acid was associated with reduced SRE risks versus placebo.

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 score0.029
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.013
GPT teacher head0.307
Teacher spread0.295 · 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

Citations25
Published2010
Admission routes1
Has abstractyes

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