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Record W2115962082 · doi:10.1093/jnci/dji002

Bone Turnover Markers as Predictors of Skeletal Complications in Prostate Cancer, Lung Cancer, and Other Solid Tumors

2005· article· en· W2115962082 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

VenueJNCI Journal of the National Cancer Institute · 2005
Typearticle
Languageen
FieldMedicine
TopicBone health and treatments
Canadian institutionsUniversité de MontréalMcMaster UniversityUniversity of Waterloo
Fundersnot available
KeywordsMedicineN-terminal telopeptideProstate cancerInternal medicineOncologyCancerZoledronic acidBone remodelingLung cancerBone resorptionRelative riskConfidence intervalAlkaline phosphataseOsteocalcinBiology

Abstract

fetched live from OpenAlex

BACKGROUND: Whether bone markers have prognostic value in patients with bone metastases is unknown. We investigated this question in patients with bone metastases secondary to prostate cancer and to non-small-cell lung cancer (NSCLC) and other solid tumors assigned to the placebo arms of two phase III trials of zoledronic acid. METHODS: Levels of the urinary bone resorption marker N-telopeptide and the serum bone formation marker bone-specific alkaline phosphatase were assessed every 3 months for patients with prostate cancer (n = 203) or NSCLC or other solid tumors (n = 238) and were categorized as low or high. Patients were monitored for skeletal-related events, bone disease progression, and death. The relative risks (RRs) and 95% confidence intervals (CIs) for these outcomes were estimated for patients with high versus low levels of each marker using intensity-based multiple event and Cox regression models. All statistical tests were two-sided. RESULTS: In each disease group and overall, high levels of each marker at the beginning of the study were statistically significantly associated with an increased risk of negative outcomes. Use of recent marker assessments as time-dependent covariates gave even greater prognostic significance. High N-telopeptide levels were a stronger prognostic indicator of negative outcomes than bone-specific alkaline phosphatase levels. In recent assessments, patients with high N-telopeptide levels had an increased relative risk of skeletal-related events (prostate cancer, RR = 3.25, 95% CI = 2.26 to 4.68, P<.001; NSCLC and other solid tumors, RR = 1.79, 95% CI = 1.15 to 2.79, P = .010), disease progression (prostate cancer, RR = 2.02, 95% CI = 1.48 to 2.74, P<.001; NSCLC and other solid tumors, RR = 1.91, 95% CI = 1.16 to 3.15, P = .011), and death (prostate cancer, RR = 4.59, 95% CI = 2.82 to 7.46, P<.001; NSCLC and other solid tumors, RR = 2.67, 95% CI = 1.85 to 3.85, P<.001) compared with patients with low N-telopeptide levels. CONCLUSIONS: Baseline and recent bone marker levels were predictive of negative clinical outcomes in patients with bone metastases secondary to prostate cancer and to NSCLC and other solid tumors. N-telopeptide levels were more consistent prognostic indicators than bone-specific alkaline phosphatase for all tumor types, reflecting the key role of osteolysis in the development of skeletal complications.

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)0.000
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 score0.048
Threshold uncertainty score0.382

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 head0.026
GPT teacher head0.362
Teacher spread0.337 · 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