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Record W2367595001 · doi:10.1017/s002221511600058x

Management of neck metastases in head and neck cancer: United Kingdom National Multidisciplinary Guidelines

2016· article· en· W2367595001 on OpenAlexaff
Vinidh Paleri, Teresa Guerrero Urbano, Hisham Mehanna, Costa Repanos, Jeffrey Lancaster, Tom Roques, Maulinkumar N. Patel, Mehmet Şen

Bibliographic record

VenueThe Journal of Laryngology & Otology · 2016
Typearticle
Languageen
FieldMedicine
TopicHead and Neck Cancer Studies
Canadian institutionsSt. Thomas Hospital
Fundersnot available
KeywordsMedicineHead and neck cancerNeck dissectionGuidelineRadiation therapyOccultRadiologyAdverse effectMagnetic resonance imagingSurgeryCancerInternal medicinePathology

Abstract

fetched live from OpenAlex

This is the official guideline endorsed by the specialty associations involved in the care of head and neck cancer patients in the UK. A rational plan to manage the neck is necessary for all head and neck primaries. With the emergence of new level 1 evidence across several domains of neck metastases, this guideline will identify the evidence-based recommendations for management. Recommendations • Computed tomographic or magnetic resonance imaging is mandatory for staging neck disease, with choice of modality dependant on imaging modality used for the primary site, local availability and expertise. (R) • Patients with a clinically N0 neck, with more than 15-20 per cent risk of occult nodal metastases, should be offered prophylactic treatment of the neck. (R) • The treatment choice of for the N0 and N+ neck should be guided by the treatment to the primary site. (G) • If observation is planned for the N0 neck, this should be supplemented by regular ultrasonograms to ensure early detection. (R) • All patients with T1 and T2 oral cavity cancer and N0 neck should receive prophylactic neck treatment. (R) • Selective neck dissection (SND) is as effective as modified radical neck dissection for controlling regional disease in N0 necks for all primary sites. (R) • SND alone is adequate treatment for pN1 neck disease without adverse histological features. (R) • Post-operative radiation for adverse histologic features following SND confers control rates comparable with more extensive procedures. (R) • Adjuvant radiation following surgery for patients with adverse histological features improves regional control rates. (R) • Post-operative chemoradiation improves regional control in patients with extracapsular spread and/or microscopically involved surgical margins. (R) • Following chemoradiation therapy, complete responders who do not show evidence of active disease on co-registered positron emission tomography-computed tomography (PET-CT) scans performed at 10-12 weeks, do not need salvage neck dissection. (R) • Salvage surgery should be considered for those with incomplete or equivocal response of nodal disease on PET-CT. (R).

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)0.003
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.035
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0100.005

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 head0.081
GPT teacher head0.395
Teacher spread0.313 · 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 designNot applicable
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

Citations100
Published2016
Admission routes1
Has abstractyes

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