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Record W2586012887

Indications for the use of external beam radiation in thyroid cancer

2014· article· en· W2586012887 on OpenAlexaff
Meredith Giuliani, James D. Brierley

Bibliographic record

VenueVia Medica Journals · 2014
Typearticle
Languageen
FieldMedicine
TopicThyroid Cancer Diagnosis and Treatment
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedicineRadiation therapyThyroid cancerExternal beam radiotherapyThyroidCancerAnaplastic thyroid cancerMedullary thyroid cancerThyroid carcinomaOncologySurgeryInternal medicineBrachytherapy
DOInot available

Abstract

fetched live from OpenAlex

Purpose of review. The role of external beam radiation therapy (EBRT) in the management of thyroid cancer is not clearly defined. In the absence of randomized studies, the review aims to identify any recent literature that helps define the role. Recent findings. In differentiated thyroid cancer, single institutional studies report durable locoregional disease control in patients considered to be at high risk of local relapse after EBRT and recent guidelines are consistent in their recommendations. In medullary thyroid cancer, the evidence is more limited but again there is benefit in selected cases. In anaplastic thyroid cancer, multimodality therapy is superior to surgery alone in achieving local control and possibly survival but the benefit must be weighed against the toxicity. Newer radiation techniques may help reduce toxicity. Summary. Although surgery is the main treatment for thyroid carcinoma, EBRT has a role in the adjuvant setting following surgery in high-risk patients and in unresectable cancer. Advances in the delivery of external beam radiotherapy, including intensity-modulated radiotherapy reduces toxicity.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.621
Threshold uncertainty score0.277

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.054
GPT teacher head0.343
Teacher spread0.289 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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