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Record W2161238106 · doi:10.1002/hed.20465

Postoperative chemoradiotherapy for advanced squamous cell carcinoma of the head and neck: A systematic review with meta‐analysis

2006· review· en· W2161238106 on OpenAlexaff
Eric Winquist, Tom Oliver, Ralph Gilbert

Bibliographic record

VenueHead & Neck · 2006
Typereview
Languageen
FieldMedicine
TopicHead and Neck Cancer Studies
Canadian institutionsPrincess Margaret Cancer CentreUniversity Health NetworkCancer Care OntarioMcMaster UniversityLondon Health Sciences Centre
Fundersnot available
KeywordsMedicineChemoradiotherapyOncologyRadiation therapyInternal medicineMeta-analysisHead and neck squamous-cell carcinomaRelative riskStage (stratigraphy)Head and neck cancerRandomized controlled trialConfidence intervalSurgeryHazard ratio

Abstract

fetched live from OpenAlex

BACKGROUND: This systematic review evaluates the use of postoperative chemoradiotherapy for patients with advanced (stage III or IV) squamous cell carcinoma of the head and neck at a high risk of recurrence. METHODS: The literature was systematically searched for eligible randomized controlled trials (RCTs). RESULTS: Of 4 RCTs identified, 3 reported improvements in locoregional control, 3 reported improved disease-free or progression-free survival, and 3 reported improved overall survival with chemoradiotherapy compared with radiotherapy alone. Pooling trials confirmed the benefit for chemoradiotherapy in locoregional recurrence (relative risk [RR] = 0.59; 95% confidence interval [CI] = 0.47-0.75; p < .00001) and overall survival (RR = 0.80; 95% CI = 0.71-0.90; p = .0002). More frequent and severe acute mucosal toxicity was reported with combined treatment. CONCLUSIONS: Postoperative adjuvant chemoradiotherapy is superior to radiotherapy alone. Because chemoradiotherapy is associated with significantly increased toxicity, further investigations to identify patients most likely to benefit or toxicity reduction strategies are 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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.738
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0130.002
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 head0.051
GPT teacher head0.352
Teacher spread0.301 · 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.

Study designSystematic review
Domainnot available
GenreReview

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

Citations84
Published2006
Admission routes1
Has abstractyes

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