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Record W2037948993 · doi:10.1097/spc.0b013e3282efd70b

Role of radiation therapy and radiopharmaceuticals in bone metastases

2007· review· en· W2037948993 on OpenAlexaff
Alysa Fairchild, Edward Chow

Bibliographic record

VenueCurrent Opinion in Supportive and Palliative Care · 2007
Typereview
Languageen
FieldMedicine
TopicManagement of metastatic bone disease
Canadian institutionsUniversity of TorontoSunnybrook Health Science CentreUniversity of Alberta
Fundersnot available
KeywordsMedicineRadiation therapySpinal cord compressionAdverse effectExternal beam radiotherapySpinal cordRandomized controlled trialNeuropathic painRadiologySurgeryInternal medicineBrachytherapyAnesthesia

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Bone metastases remain the most common cause of cancer-related pain. Palliative radiotherapy and radiopharmaceuticals are effective for symptom control, but continue to be underutilized. We review recent literature for the treatment of bone metastases and spinal cord compression, and address new developments in the prevention of adverse effects secondary to radiotherapy. RECENT FINDINGS: Evidence continues to mount in support of the efficacy of short-course radiation schedules. Emerging data support the use of single fractions. While radiotherapy is relatively nontoxic, pain flare can be a distressing side effect. Recent reports suggest that traditional and more innovative radiopharmaceuticals are well tolerated, with effects comparable with external beam radiation and the added advantage of addressing multiple, widespread painful sites simultaneously. SUMMARY: There is an urgent need for more randomized controlled trials in the radiotherapy of complicated bone metastases, such as the settings of spinal cord compression and neuropathic pain. Additional study of radiopharmaceuticals as adjuvants to external beam radiotherapy would also serve to further elucidate the optimal treatment for these patients.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.956
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.000
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 head0.233
GPT teacher head0.490
Teacher spread0.256 · 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 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

Citations10
Published2007
Admission routes1
Has abstractyes

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