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Record W2130172613 · doi:10.1002/hed.21941

Detection of circulating tumor cells in advanced head and neck cancer using the cellsearch system

2011· article· en· W2130172613 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

VenueHead & Neck · 2011
Typearticle
Languageen
FieldMedicine
TopicCancer Cells and Metastasis
Canadian institutionsLawson Health Research InstituteWestern University
Fundersnot available
KeywordsCirculating tumor cellMedicineInternal medicineOncologyStage (stratigraphy)Head and neck cancerCancerHead and neck squamous-cell carcinomaHead and neckAdjuvantSurgeryBiologyMetastasis

Abstract

fetched live from OpenAlex

BACKGROUND: Early detection of circulating tumor cells (CTCs) offers the possibility of improved outcome for patients with head and neck squamous cell cancer (HNSCC). METHODS: Patients with advanced-stage HNSCC (stage III/IV) were tested for CTCs using the CellSearch system (a registered trade name), which has been approved by the U.S. Food and Drug Administration (FDA) for monitoring CTCs in other cancers. RESULTS: CTCs were detected in 6 of 15 patients with advanced-stage HNSCC (range, 1-2 cells/7.5 mL of blood). CTCs were significantly associated with patients with lung nodules >1 cm (p = .04). There was also a suggestion of improved survival in the CTC-negative versus the CTC-positive patients (p = .11). CONCLUSIONS: CTCs can be successfully isolated in patients with advanced-stage HNSCC using the CellSearch system. CTC detection may be important for prognosis, evaluating treatment outcome, and for determining efficacy of adjuvant treatments.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.075
Threshold uncertainty score0.998

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 head0.064
GPT teacher head0.321
Teacher spread0.257 · 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