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Record W2972600236 · doi:10.21873/anticanres.13674

Clinical Outcomes of Head and Neck Cancer Patients Who Undergo Resection, But Forgo Adjuvant Therapy

2019· article· en· W2972600236 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

VenueAnticancer Research · 2019
Typearticle
Languageen
FieldMedicine
TopicHead and Neck Cancer Studies
Canadian institutionsSunnybrook HospitalHealth Sciences CentreSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineHead and neck squamous-cell carcinomaAdjuvant therapyHead and neck cancerAdjuvantInternal medicineIncidence (geometry)Confidence intervalSurgeryHead and neckCancerOncology

Abstract

fetched live from OpenAlex

BACKGROUND/AIM: This study aimed to evaluate the outcomes of patients with head and neck squamous cell carcinoma (HNSCC) who underwent resection and refused the recommended adjuvant therapy. PATIENTS AND METHODS: Locoregional recurrence-free survival (LRRFS) and time to progression (TTP) were assessed in HNSCC patients treated with surgery who declined some or all adjuvant therapy (refusal group (RG)) compared to those who received the recommended adjuvant therapy (TG). RESULTS: With a median follow-up of 23 months, the 2-year LRRFS was significantly lower in the 17 patients from the RG compared to the 152 patients from the TG: 23.1% vs. 69%, HR=0.30, 95% confidence incidence (CI)=0.15-0.59; p<0.001. The mean TTP was 12 months in the RG and was not reached in the TG (p<0.001). CONCLUSION: Patients with HNSCC who declined the recommended adjuvant therapy had a recurrence rate of 50% within a year.

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)0.001
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 score0.025
Threshold uncertainty score0.440

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.154
GPT teacher head0.501
Teacher spread0.347 · 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