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Record W2589133867 · doi:10.14740/wjon992w

Comparative Evaluation of Three Palliative Radiotherapy Schedules in Locally Advanced Head and Neck Cancer

2017· article· en· W2589133867 on OpenAlexvenueno aff
Abhishek Soni, Vivek Kaushal, Monica Verma, Anil Kumar Dhull, Rajeev Atri, Rakesh Dhankhar

Bibliographic record

VenueWorld Journal of Oncology · 2017
Typearticle
Languageen
FieldMedicine
TopicHead and Neck Cancer Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHead and neck cancerTolerabilityRadiation therapyQuality of life (healthcare)Head and neckToxicityScheduleSurgeryInternal medicineAdverse effect

Abstract

fetched live from OpenAlex

BACKGROUND: The aim of the study was to evaluate and compare the efficacy, tolerability and toxicity of three palliative radiotherapy (RT) schedules in locally advanced head and neck carcinoma (LAHNC), i.e. Quad Shot schedule, Christie schedule and conventional palliative schedule. METHODS: The patients were randomly divided into three groups of 30 each. Group I patients were planned for 14.8 Gy in 4 fractions over 2 days, repeated three weekly for two more cycles. Group II patients were planned for 50 Gy in 16 fractions over 3.1 weeks. Group III patients were planned for 20 Gy in 5 fractions over 5 days, repeated after an interval of 3 weeks. The quality of life was assessed before and after RT using University of Washington Quality of Life questionnaire version 4. RESULTS: Local control rates were 84%, 76%, and 76% for groups I, II and III, respectively. Disease status at 6-month follow-up was no evidence of disease (20%, 28%, and 16%), residual disease (72%, 48%, and 76%), and recurrent disease (8%, 24%, and 8%) in groups I, II and III, respectively. Grade III acute skin reactions were 28%, 44%, and 16% in groups I, II and III, respectively. Grade III acute mucosal reactions were 36%, 56%, and 24% in group I, II and III, respectively. Quality of life improved in all groups after RT. CONCLUSION: Quad Shot schedule may be used in LAHNC with better local control and acceptable toxicity as compared to conventional palliative RT schedule in Indian setting.

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)0.001
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 score0.315
Threshold uncertainty score0.997

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 head0.135
GPT teacher head0.474
Teacher spread0.339 · 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

Citations19
Published2017
Admission routes1
Has abstractyes

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