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Patterns of Distant Failure and Second Primary Cancers in Patients with Oropharyngeal Squamous Cell Carcinoma: Implications for Surveillance Methodology

2014· article· en· W2155228960 on OpenAlexvenueno aff
E.F. Crandley, David D. Wilson, Austin J. Sim, Neil Majithia, Edward B. Stelow, Mark J. Jameson, David C. Shonka, Asal Rahimi, Paul W. Read

Bibliographic record

VenueJournal of cancer research updates · 2014
Typearticle
Languageen
FieldMedicine
TopicHead and Neck Cancer Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDistant metastasisInternal medicineBasal cellOncologyRadiation therapyChemotherapyRadiologyRetrospective cohort studyMetastasisPhysical examinationCancer

Abstract

fetched live from OpenAlex

Background: We analyzed the pattern of distant metastasis (DM) and secondary primary cancers (SPC) in patients with oropharyngeal squamous cell carcinoma (OPSCC) to develop surveillance guidelines. Methods: A retrospective review of 177 patients with OPSCC treated with intensity modulated radiation therapy ± chemotherapy between 2002 and 2012 was performed to characterize the rate, pattern, and timing of DM and SPC. Results: Sixteen patients (9.0%) developed DM and 9 patients (5.1%) developed a SPC. Overall, 24/177 patients (13.6%) developed a DM and/or SPC for a total of 27 events. 92.6% (25/27) of events were detectable on physical exam and/or chest CT. p16+ patients developed DM later than p16- tumors (23.4 months versus 8.7 months). Conclusions: Chest CT with physical examination detects the majority of DM and SPC in patients with OPSCC and would provide effective surveillance in these patients. A risk adapted surveillance strategy is proposed.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.048
GPT teacher head0.373
Teacher spread0.324 · 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 source (direct Gemma or distilled Codex), 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

Citations4
Published2014
Admission routes1
Has abstractyes

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