MétaCan
Menu
Back to cohort
Record W2044631161 · doi:10.1002/hed.20479

Role of neck dissection following concurrent chemoradiation for advanced head and neck carcinoma

2006· article· en· W2044631161 on OpenAlexaff
Véronique‐Isabelle Forest, Phuc Félix Nguyen‐Tan, Jean‐Claude Tabet, Marie‐Jo Olivier, Daniel Larochelle, B. Fortin, Michel Gélinas, Denis Soulières, Danielle Charpentier, Louis Guertin

Bibliographic record

VenueHead & Neck · 2006
Typearticle
Languageen
FieldMedicine
TopicHead and Neck Cancer Studies
Canadian institutionsHôpital Notre-DameUniversité de Montréal
Fundersnot available
KeywordsNeck dissectionMedicineHead and neck squamous-cell carcinomaDissection (medical)ConcomitantSurgeryHead and neckStage (stratigraphy)CarcinomaHead and neck cancerRadiologyRadiation therapyInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Our primary objective was to determine the role of neck dissection following concomitant chemoradiation (CRT) for advanced stage III-IV head and neck squamous cell carcinoma (HNSCC). METHODS: One hundred eighty-four patients with HNSCC treated with CRT were included. One hundred twenty-three patients reached a regional complete response (CR) after CRT and no neck dissection was performed. Forty-five patients among the 58 who reached a regional partial response (PR) underwent a neck dissection. RESULTS: Overall, regional CR rate after CRT was 68%. Patients who reached a regional CR (no neck dissection) had an overall neck recurrence rate of 5%. Patients with regional PR who underwent a neck dissection had a 7% neck recurrence rate. CONCLUSIONS: Patients with regional CR not followed by a neck dissection have a low rate of neck recurrence. Systematic neck dissection is not mandatory for patients with nodes less than 6 cm reaching a regional CR. For patients with nodes larger than 6 cm, no firm recommendation can be given because of the small number of patients in this series. If the regional response is incomplete, cervical dissection is 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 score0.245
Threshold uncertainty score0.686

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.015
GPT teacher head0.298
Teacher spread0.283 · 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

Citations50
Published2006
Admission routes1
Has abstractyes

Explore more

Same venueHead & NeckSame topicHead and Neck Cancer StudiesFrench-language works237,207