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Record W1607625783 · doi:10.1002/hed.23498

Volume–outcome associations in head and neck cancer treatment: A systematic review and meta‐analysis

2013· review· en· W1607625783 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 · 2013
Typereview
Languageen
FieldMedicine
TopicHead and Neck Cancer Studies
Canadian institutionsMount Sinai HospitalQueen's UniversityPrincess Margaret Cancer CentreUniversity of Toronto
Fundersnot available
KeywordsHead and neck cancerMeta-analysisMedicineConfidence intervalHazard ratioMEDLINEHead and neckOncologySystematic reviewCancerInternal medicineSurgery

Abstract

fetched live from OpenAlex

BACKGROUND: Because of the relative rarity of head and neck malignancies and their complex treatment, some groups have advocated for regionalized care. Studies comparing high- and low-volume centers have demonstrated mixed results. METHODS: We conducted a systematic review using MEDLINE and EMBASE including all studies examining a volume-outcome relationship in the treatment of patients with head and neck cancer with meta-analysis for long-term survival results. RESULTS: Seventeen studies were identified. Meta-analysis was performed for studies that assessed long-term survival. High-volume hospitals (5 studies; hazard ratio [HR], 0.886; 95% confidence interval [CI], 0.820-0.956) and high-volume surgeons (2 studies; HR, 0.767; 95% CI, 0.641-0.919) have better overall survival than low-volume hospitals and surgeons, respectively. CONCLUSION: Volume-outcome associations exist for head and neck oncologic procedures, although this has not been fully investigated for salivary gland malignancies. Future quality of care studies in head and neck oncology should focus on processes of care, which may explain this relationship.

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 categoriesMeta-epidemiology (narrow), Meta-epidemiology (broad)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.790
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0160.002
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.158
GPT teacher head0.431
Teacher spread0.274 · 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