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Record W2161071804 · doi:10.1210/jc.2011-1109

Update on External Beam Radiation Therapy in Thyroid Cancer

2011· review· en· W2161071804 on OpenAlexaff
James D. Brierley

Bibliographic record

VenueThe Journal of Clinical Endocrinology & Metabolism · 2011
Typereview
Languageen
FieldMedicine
TopicThyroid Cancer Diagnosis and Treatment
Canadian institutionsPrincess Margaret Cancer CentreUniversity of Toronto
Fundersnot available
KeywordsMedicineAnaplastic thyroid cancerThyroid cancerRadiation therapyThyroidExternal beam radiationExternal beam radiotherapyCancerOncologyMedullary thyroid cancerRadiologyInternal medicineBrachytherapy

Abstract

fetched live from OpenAlex

Surgery is the mainstay of treatment for thyroid cancer. The role for external beam radiotherapy (EBRT) as an adjuvant to surgery or as the primary therapy is established in anaplastic thyroid cancer but is controversial in differentiated thyroid cancer and uncertain in medullary thyroid cancer. This update reviews the recent reported success of combining EBRT with taxanes in anaplastic thyroid cancer. Also discussed are the recent reports from large single institutions that support the recommendations of the American and British Thyroid Associations on the use of EBRT in high-risk differentiated thyroid cancer. Further evidence on the role of EBRT in MTC is discussed. The important advances in the delivery of EBRT using intensity-modulated radiation and image-guided radiation that result in more accurate and potentially more effective radiation therapy with less toxicity are also discussed.

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)0.001
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.004
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.005

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 head0.137
GPT teacher head0.456
Teacher spread0.319 · 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
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
Published2011
Admission routes1
Has abstractyes

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