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Plasma osteopontin levels are predictive of disease stage in patients with transitional cell carcinoma of the bladder

2005· article· en· W2073826694 on OpenAlexaff
Celina Ang, Ann F. Chambers, Alan B. Tuck, Eric Winquist, Jonathan I. Izawa

Bibliographic record

VenueBritish Journal of Urology · 2005
Typearticle
Languageen
FieldMedicine
TopicBone and Dental Protein Studies
Canadian institutionsWestern University
Fundersnot available
KeywordsOsteopontinMedicineStage (stratigraphy)Transitional cell carcinomaPathologicalUrologyInternal medicineCarcinomaOncologyDiseaseGastroenterologyPathologyCancerBladder cancerBiology

Abstract

fetched live from OpenAlex

OBJECTIVE: To measure plasma levels of osteopontin in patients with transitional cell carcinoma (TCC) of the bladder, and to determine if osteopontin levels relate to disease stage. PATIENTS AND METHODS: Blood samples were collected from 72 consecutive patients with TCC. Clinical data were obtained from medical record reviews. Patients were divided into subgroups based on disease status (active vs inactive) and clinical and pathological stage of TCC (tumour, nodes and metastases staging system). Osteopontin levels were measured using an enzyme-linked immunosorbent assay. RESULTS: Plasma osteopontin levels were higher in patients with active TCC than in controls (P = 0.035). Plasma osteopontin levels were not significantly different between patients with active and inactive TCC, but were higher in patients with metastases than in patients with active, clinically organ-confined TCC (P = 0.021). CONCLUSIONS: Plasma osteopontin levels increase with tumour stage in TCC of the bladder. These findings suggest that larger, more extended studies on plasma osteopontin levels in patients with TCC are warranted.

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 score0.002
Threshold uncertainty score0.223

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 head0.007
GPT teacher head0.201
Teacher spread0.193 · 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

Citations30
Published2005
Admission routes1
Has abstractyes

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