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Record W2069893233 · doi:10.1259/bjr.75.892.750307

Nasopharyngeal carcinoma: treatments and outcomes in the 20th century

2002· review· en· W2069893233 on OpenAlexaff
Richard F. Mould, Tianxiang Tai

Bibliographic record

VenueBritish Journal of Radiology · 2002
Typereview
Languageen
FieldMedicine
TopicHead and Neck Cancer Studies
Canadian institutionsSaskatchewan Disease Control Laboratory
Fundersnot available
KeywordsNasopharyngeal carcinomaMedicineRadiation therapyDiseaseBrachytherapyChemotherapyBiopsyCurative treatmentExternal beam radiotherapySurgeryIntensive care medicineRadiologyPediatricsInternal medicine

Abstract

fetched live from OpenAlex

Nasopharyngeal carcinoma (NPC), although rare in Europe and North America, is not uncommon in parts of Asia such as southern China and Hong Kong. Consequently, very few oncologists in the Western world have extensive experience in treating this neoplasm. Treatment using external beam therapy and/or brachytherapy evolved greatly during the 20th century and is still evolving, particularly with the use of adjunctive chemotherapy regimes. Diagnosis of NPC has also improved with the availability of CT and MRI. This worldwide review is divided into historical, transitional and modern eras, with the latter concerning 1971-2000. Currently, the most controversial aspects of NPC are recommendations for treatment of recurrent disease and the role of chemotherapy in the overall framework of treatment. Comparison of results from different centres is not possible without an understanding of the various staging systems that are, and have been, used; a comparison is given in this review. In the future, early diagnosis, adequate radiation dose to the primary with boost to bulky disease, and regular follow-up with biopsy of any suspicious residual or recurrent disease, are likely to become key issues to improve outcome. Also, apart from direct/indirect nasopharyngoscopy, the role of follow-up CT needs to be studied for early detection of residual or recurrent disease. More clinical trials on chemo-radiation are also required, in order to study optimum doses and agents.

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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.968
Threshold uncertainty score0.579

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.044
GPT teacher head0.331
Teacher spread0.287 · 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 designOther design
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

Citations54
Published2002
Admission routes1
Has abstractyes

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